Vvce - Business Research Methodology MCQ - Internship (Project Work) 2014
Questions and Answers
- 1.
- There are 50 questions each carrying 2 marks for the right answers
- There will be Negative Marking of 0.5 for each wrong answer
- Time allowed is 60 minutes
- After completing the test, you will be able to see and download your results. A copy of the score report will be sent to Internship/Project Coordinator
- Any malpractice found would be strictly dealt with including dismissal from the test
- 2.
Management research is simply systematic research to find out things about business and management" (Saunders et al 2006). Which of these does it concern?
- A.
Marketing Planning
- B.
Production Planning
- C.
Human Resources Planning
- D.
Financing Decisions
- E.
All of the Above
- F.
None of the Above
Correct Answer
E. All of the AboveExplanation
Management research concerns all of the above options: marketing planning, production planning, and human resources planning. It involves systematic research to gather information and find out things about these areas of business and management. This research helps in making informed decisions and improving the overall effectiveness and efficiency of the organization. Financing decisions, although important, are not explicitly mentioned in the given explanation, so they are not included in the answer.Rate this question:
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- 3.
A top manager of a chocolate bar manufacturer asks for a report on how a new competing chocolate bar is being advertised. This is an example of:
- A.
Employee Research
- B.
Management Consultancy
- C.
Marketing Research
- D.
None of the Above
Correct Answer
C. Marketing ResearchExplanation
The correct answer is Marketing Research. This is because the top manager is asking for a report on how a new competing chocolate bar is being advertised, which falls under the scope of marketing research. Marketing research involves gathering and analyzing information about market trends, customer preferences, and competitor strategies to make informed marketing decisions. In this case, the manager is specifically interested in understanding how the new chocolate bar is being advertised, which is a key aspect of marketing research.Rate this question:
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- 4.
Respondent selection is also known as:
- A.
Sifting
- B.
Weighting
- C.
Coding
- D.
Sampling
- E.
Grossing
Correct Answer
D. SamplingExplanation
Sampling refers to the process of selecting a subset of individuals or items from a larger population to gather information or make inferences about the whole population. It involves selecting a representative sample that accurately reflects the characteristics of the population. Respondent selection is a term used interchangeably with sampling, as it refers to the process of selecting individuals or respondents for research or survey purposes. Therefore, the correct answer is Sampling.Rate this question:
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- 5.
Which management function is the closest match to the below research objective: "To investigate new markets"
- A.
Marketing
- B.
Production
- C.
HRM
- D.
Finance
- E.
All Functions
Correct Answer
A. MarketingExplanation
The research objective of "To investigate new markets" aligns closely with the marketing function. This is because marketing involves identifying and analyzing market opportunities, understanding customer needs and preferences, and developing strategies to target and enter new markets. By conducting research on new markets, the marketing function can gather valuable insights and data to inform decision-making and develop effective marketing strategies to penetrate and succeed in those markets.Rate this question:
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- 6.
When a study has been conducted and is available for others to see, it becomes:
- A.
Ordinal Data
- B.
Secondary Data
- C.
Primary Data
Correct Answer
B. Secondary DataExplanation
When a study has been conducted and is available for others to see, it becomes secondary data. Secondary data refers to data that has been collected by someone else for their own purposes, but can be used by others for research or analysis. In this case, the study has already been conducted by someone else and the results are now available for others to access and use. Therefore, it is considered secondary data.Rate this question:
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- 7.
What is the difference between research questions and research objectives?
- A.
The question is worded by the researcher, the objective is not.
- B.
No difference, they are the same.
- C.
The wording of one is likely to be more specific than the other.
- D.
One of these is proposed by a supervisor.
Correct Answer
D. One of these is proposed by a supervisor.Explanation
Research questions and research objectives are different in terms of their origin. Research questions are formulated by the researcher themselves, while research objectives are often proposed by a supervisor or someone in a higher position. This suggests that research objectives are more likely to be influenced by external factors and may be more specific or focused compared to research questions.Rate this question:
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- 8.
Which one of the following is a data collection method?
- A.
The Interview
- B.
The Case Study
- C.
Positivism
- D.
The Onion
Correct Answer
A. The InterviewExplanation
The interview is a data collection method where the researcher directly interacts with individuals or participants to gather information. It involves asking questions and having a conversation with the interviewee to obtain qualitative or quantitative data. This method allows for in-depth exploration of the research topic and provides valuable insights from the perspective of the interviewee. It is commonly used in social sciences, market research, and qualitative studies.Rate this question:
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- 9.
Paired comparison method as a scaling technique is used for:
- A.
Nominal Scale
- B.
Ordinal Scale
- C.
Ratio Scale
- D.
Interval Scale
Correct Answer
B. Ordinal ScaleExplanation
The paired comparison method is a scaling technique that is used to rank or compare items based on their relative importance or preference. In this method, each item is compared to every other item in pairs, and a preference or ranking is assigned based on the comparison. This method is particularly useful for ordinal scale data, where items can be ranked in a specific order but the differences between the ranks may not be equal. Therefore, the correct answer is ordinal scale.Rate this question:
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- 10.
What is the least expensive and least time-consuming of all sampling techniques?
- A.
Simple Random Sampling
- B.
Stratified Sampling
- C.
Judgmental Sampling
- D.
Convenience Sampling
- E.
Snowball Sampling
Correct Answer
A. Simple Random SamplingExplanation
Simple Random Sampling is the least expensive and least time-consuming of all sampling techniques because it involves randomly selecting individuals from the population, without any specific criteria or stratification. This method ensures that every individual in the population has an equal chance of being selected, making it a fair and unbiased approach. Additionally, since there are no specific criteria or stratification involved, it requires less time and resources compared to other sampling techniques.Rate this question:
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- 11.
Which of the following is not a non-probability sampling?
- A.
Convenience Sampling
- B.
Cluster Sampling
- C.
Quota Sampling
- D.
Snowball Sampling
- E.
Judgmental Sampling
Correct Answer
B. Cluster SamplingExplanation
Cluster sampling is a type of probability sampling where the population is divided into clusters or groups, and a random sample of these clusters is selected. Each cluster represents the characteristics of the entire population, and all individuals within the selected clusters are included in the sample. Therefore, cluster sampling is a probability sampling method.Rate this question:
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- 12.
Research is:
- A.
Working in a scientific way to search for truth of any problem
- B.
Searching again and again
- C.
Finding solution to any problem
- D.
None of the above
Correct Answer
A. Working in a scientific way to search for truth of any problemExplanation
Research is the process of working in a scientific way to search for the truth of any problem. It involves the systematic investigation, collection, analysis, and interpretation of data to answer a specific question or solve a problem. Through research, individuals or teams aim to contribute new knowledge, understand phenomena, test hypotheses, and advance existing theories. It is a rigorous and methodical approach that requires careful planning, data gathering, and critical analysis to establish reliable and valid findings.Rate this question:
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- 13.
Quantitative Data refers to:
- A.
Statistical Analysis
- B.
Any data you present in your report
- C.
Graphs and tables
- D.
Numerical data that could usefully be quantified to help you answer your research question(s) and to meet your objectives
Correct Answer
D. Numerical data that could usefully be quantified to help you answer your research question(s) and to meet your objectivesExplanation
The correct answer is "Numerical data that could usefully be quantified to help you answer your research question(s) and to meet your objectives." This answer accurately describes what quantitative data refers to. It specifies that quantitative data is numerical in nature and can be quantified to provide useful information for answering research questions and achieving objectives. This definition aligns with the common understanding of quantitative data as data that can be measured and analyzed using statistical methods.Rate this question:
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- 14.
Which one of the following is not a non-parametric test?
- A.
T-test
- B.
Sign test
- C.
Chi-square test
- D.
Run test
Correct Answer
D. Run testExplanation
The run test is not a non-parametric test. Non-parametric tests do not make any assumptions about the underlying distribution of the data, while parametric tests do. The t-test, sign test, and chi-square test are all non-parametric tests commonly used to analyze data when the assumptions of parametric tests cannot be met. However, the run test is a parametric test that is used to test for randomness or independence in a sequence of observations.Rate this question:
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- 15.
Which one of the following is a non-probability sampling method?
- A.
Stratified Sampling
- B.
Snowball Sampling
- C.
Convenience Sampling
- D.
Simple Random Sampling
Correct Answer
C. Convenience SamplingExplanation
Convenience sampling is a non-probability sampling method because it involves selecting individuals who are readily available and convenient to participate in the study. This method does not provide an equal chance for all individuals in the population to be included in the sample, therefore it cannot be considered a probability sampling method like simple random sampling or stratified sampling. Snowball sampling, on the other hand, is a type of non-probability sampling where participants are recruited through referrals from existing participants.Rate this question:
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- 16.
Which of the following is not a correct format of Likert Scale?
- A.
3-Point Likert Scale
- B.
7-Point Likert Scale
- C.
5-Point Likert Scale
- D.
6-Point Likert Scale
Correct Answer
D. 6-Point Likert ScaleExplanation
A Likert scale is a commonly used measurement tool in surveys and research studies to assess people's attitudes or opinions. It typically consists of a series of statements or questions that respondents rate on a scale. The options provided in the question represent different formats of the Likert scale, ranging from 3 to 7 points. The correct answer, "6-Point Likert Scale," is not a valid format as Likert scales typically have an odd number of response options to allow for a neutral midpoint.Rate this question:
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- 17.
Arrange the following steps of research in correct sequence: 1. Identification of Research Problem 2. Listing of Research Objectives 3. Collection of Data 4. Research Methodology 5. Data Analysis 6. Results and Discussions
- A.
1-2-3-4-5-6
- B.
1-2-4-3-5-6
- C.
2-1-3-4-5-6
- D.
2-1-4-3-5-6
Correct Answer
B. 1-2-4-3-5-6Explanation
The correct sequence for the steps of research is as follows: First, the researcher needs to identify the research problem (step 1). Once the problem is identified, the researcher can then list the research objectives (step 2). After that, the researcher needs to determine the research methodology (step 4) to be used in the study. Once the methodology is decided, the next step is to collect the data (step 3). After the data is collected, it needs to be analyzed (step 5) to draw meaningful conclusions. Finally, the results and discussions (step 6) can be presented based on the data analysis.Rate this question:
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- 18.
A null hypothesis is
- A.
The difference is due to error in sampling
- B.
Difference between two parametric mean is zero
- C.
All of the above
- D.
None of the above
Correct Answer
D. None of the aboveExplanation
The correct answer is "None of the above." This is because the given options do not accurately define a null hypothesis. A null hypothesis is a statement that assumes there is no significant difference or relationship between variables being tested. It does not specifically refer to errors in sampling or the difference between two parametric means being zero. Therefore, none of the given options correctly explain a null hypothesis.Rate this question:
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- 19.
A Questionnaire is a
- A.
Research Method
- B.
Measurement Technique
- C.
Tool for data collection
- D.
Data analysis technique
Correct Answer
C. Tool for data collectionExplanation
A questionnaire is a tool for data collection because it is a set of questions designed to gather information from individuals. It allows researchers to collect data from a large number of people in a standardized and efficient manner. Questionnaires can be administered in various formats such as printed paper, online forms, or even through interviews. By using a questionnaire, researchers can collect data on various aspects of a research topic, such as attitudes, opinions, behaviors, or demographics. This data can then be analyzed and used to draw conclusions or make informed decisions.Rate this question:
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- 20.
Scientific method is preferred over other ways of knowing, because, it is more
- A.
Reliable
- B.
Systematic
- C.
Accurate
- D.
All of the above
Correct Answer
D. All of the aboveExplanation
The scientific method is preferred over other ways of knowing because it is more reliable, systematic, and accurate. It relies on empirical evidence and follows a structured approach, ensuring that results can be replicated and verified. The scientific method also emphasizes objectivity and minimizes bias, leading to more accurate and unbiased conclusions. Overall, these characteristics make the scientific method a more trustworthy and effective way of acquiring knowledge compared to other methods.Rate this question:
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- 21.
In which section you fully interpret and evaluate your results
- A.
Literature Review
- B.
Research Design
- C.
Data Analysis and Discussions
- D.
Report Preparation
Correct Answer
C. Data Analysis and DiscussionsExplanation
In the section of Data Analysis and Discussions, you fully interpret and evaluate your results. This is where you analyze the data collected during your research and discuss the findings in relation to your research objectives and literature review. You may use statistical tools, charts, and graphs to present and interpret the data. Additionally, you can compare your results with previous studies and theories mentioned in the literature review to provide a comprehensive evaluation. The Data Analysis and Discussions section is crucial for drawing conclusions and making recommendations based on the results of your research.Rate this question:
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- 22.
Qualitative and Quantitative researches are the classification of research on the basis of
- A.
Use of the research
- B.
Time dimension
- C.
Techniques used
- D.
Purpose of the research
Correct Answer
C. Techniques usedExplanation
The correct answer is "Techniques used." Qualitative and quantitative research are classified based on the techniques used to gather and analyze data. Qualitative research involves collecting non-numerical data through methods such as interviews, observations, and focus groups. On the other hand, quantitative research involves collecting numerical data through methods such as surveys, experiments, and statistical analysis. The choice of techniques used determines whether a research study is qualitative or quantitative.Rate this question:
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- 23.
Which correlation coefficient best explains the relationship between creativity and intelligence
- A.
1.00
- B.
-1.00
- C.
0.5
- D.
-0.5
Correct Answer
A. 1.00Explanation
Creativity and Intelligence are perfectly positively correlatedRate this question:
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- 24.
What is not correct about research?
- A.
Research is begun because someone has asked question and it has to answer it
- B.
Research may involve venturing into areas of thought about which little is known
- C.
Research has to be planned and conducted because it is a scientific way of gathering information
- D.
Research is needed if the aim is to increase the extent of knowledge or to make it more complex
Correct Answer
D. Research is needed if the aim is to increase the extent of knowledge or to make it more complexExplanation
Research is not necessarily needed if the aim is to increase the extent of knowledge or make it more complex. Research can also be conducted to confirm or validate existing knowledge, to solve a specific problem, or to explore a new area of study. The aim of research can vary depending on the specific goals and objectives of the study.Rate this question:
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- 25.
Hypothesis refers to
- A.
The outcome of an experiment
- B.
A conclusion drawn from an experiment
- C.
A form of bias in which the subject tries to outguess the experimenter
- D.
A tentative statement about the relationship
Correct Answer
D. A tentative statement about the relationshipExplanation
The correct answer is "A tentative statement about the relationship." A hypothesis is a proposed explanation or statement that can be tested through research and experimentation. It is a tentative statement because it is not yet proven or confirmed, but it serves as the basis for conducting further investigation. A hypothesis helps to guide the research process and allows scientists to make predictions and draw conclusions based on the results of their experiments.Rate this question:
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- 26.
Statistics is used by researcher to
- A.
Make their finding sound better
- B.
Analyze the empirical data collected in a study
- C.
Operationally define other variables
- D.
Ensure the study comes out with the way it was intended
Correct Answer
B. Analyze the empirical data collected in a studyExplanation
Statistics is used by researchers to analyze the empirical data collected in a study. This involves organizing and summarizing the data, identifying patterns and relationships, and drawing conclusions based on the data. By using statistical analysis, researchers can make objective interpretations of their findings and determine the significance of their results. This helps to provide evidence and support for their research claims, increasing the validity and reliability of their study.Rate this question:
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- 27.
Primary data collection is a part of the
- A.
Descriptive research
- B.
Applied research
- C.
Explanatory research
- D.
Exploratory research
Correct Answer
D. Exploratory researchExplanation
Exploratory research involves gathering information and exploring a topic that is not well understood or lacks previous research. Primary data collection is a crucial part of exploratory research as it involves collecting new and original data directly from the source. This data is collected through methods like surveys, interviews, observations, or experiments. By collecting primary data, researchers can gain a deeper understanding of the subject and generate new insights or hypotheses. Therefore, the correct answer is exploratory research.Rate this question:
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- 28.
Which of the following is not a measure of variability?
- A.
Median
- B.
Variance
- C.
Standard Deviation
- D.
Range
Correct Answer
A. MedianExplanation
The median is not a measure of variability because it represents the middle value in a dataset, regardless of the spread or dispersion of the data points. Measures of variability, on the other hand, quantify the spread or dispersion of data points around a central value. Variance, standard deviation, and range are all measures of variability as they provide information about the spread of data points.Rate this question:
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- 29.
Conducting survey is the most common method of generating
- A.
Secondary data
- B.
Qualitative data
- C.
Primary data
- D.
All of the above
Correct Answer
C. Primary dataExplanation
Conducting surveys is the most common method of generating primary data. Primary data refers to the data that is collected firsthand by the researcher for a specific purpose. Surveys involve directly asking individuals or groups of people questions to gather information. This method allows researchers to obtain data that is tailored to their research objectives and provides them with more control over the data collection process. Therefore, conducting surveys is a commonly used method for generating primary data.Rate this question:
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- 30.
How many dependent variables are used in multiple regression
- A.
1
- B.
1 or more
- C.
2 or more
- D.
2
Correct Answer
A. 1Explanation
In multiple regression, only one dependent variable is used. Multiple regression is a statistical technique that examines the relationship between a single dependent variable and multiple independent variables. It allows us to understand how the independent variables collectively influence the dependent variable. Therefore, the correct answer is 1.Rate this question:
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- 31.
Which of the following is not a source for getting information for exploratory research?
- A.
Survey
- B.
Case Study
- C.
Content Analysis
- D.
Pilot Study
Correct Answer
C. Content AnalysisExplanation
Content analysis is not a source for getting information for exploratory research because it is a method used to analyze and interpret existing data or content, such as documents, texts, or media, to identify patterns, themes, or trends. It does not involve collecting new data or information directly from individuals or sources. Exploratory research typically involves gathering primary data through methods like surveys, case studies, or pilot studies to gain initial insights and understanding of a research topic.Rate this question:
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- 32.
Which scale is a simplest form of measurement?
- A.
Ratio
- B.
Ordinal
- C.
Nominal
- D.
Interval
Correct Answer
C. NominalExplanation
The simplest form of measurement is the nominal scale. This scale categorizes data into distinct categories or groups without any specific order or numerical value assigned to them. It is the most basic and least precise form of measurement, where data is only classified into different categories or labels. This scale is commonly used to classify data such as gender, ethnicity, or marital status, where there is no inherent order or hierarchy among the categories.Rate this question:
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- 33.
Which is the process of gathering evidence supporting inference-based test scores
- A.
Validity
- B.
Reliability
- C.
Predition
- D.
Validation
Correct Answer
A. ValidityExplanation
Validity is the process of gathering evidence supporting inference-based test scores. It refers to the extent to which a test measures what it is intended to measure. In other words, it assesses whether a test accurately measures the construct or concept it claims to measure. Validity is crucial in ensuring that test scores are meaningful and useful for making accurate inferences and decisions. It involves collecting evidence from various sources, such as content validity, criterion validity, and construct validity, to establish the validity of a test.Rate this question:
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- 34.
A list of questions which is handed over to the respondent, who reads the question and records the answer himself is known as
- A.
Interview Schedule
- B.
Questionnaire
- C.
Interview Guide
- D.
All the above
- E.
None of the above
Correct Answer
B. QuestionnaireExplanation
A list of questions which is handed over to the respondent, who reads the question and records the answer himself is known as a questionnaire. This is a common method used in surveys and research studies to gather data from a large number of people. The respondent is given the freedom to answer the questions at their own pace and convenience. This method allows for standardized data collection and can be easily analyzed. It is different from an interview schedule or interview guide, where the questions are asked verbally by an interviewer.Rate this question:
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- 35.
When the alpha value is 0.05, you can be 95% confident that your interval will include the population parameter
- A.
True
- B.
False
Correct Answer
A. TrueExplanation
When the alpha value is 0.05, it means that the level of significance is set at 5%. This indicates that there is a 95% confidence level in the interval estimate. In other words, there is a 95% probability that the interval will include the true population parameter. Therefore, the statement "you can be 95% confident that your interval will include the population parameter" is true.Rate this question:
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- 36.
Which of the following symbols represent population and sample size
- A.
N, N
- B.
σ, β
- C.
N, n
- D.
None of the above
Correct Answer
C. N, nExplanation
The symbols N and n are commonly used to represent population and sample size, respectively. N represents the total number of individuals or elements in a population, while n represents the number of individuals or elements in a sample. These symbols are widely recognized and used in statistics to differentiate between the size of the entire population and the size of the subset or sample taken from that population.Rate this question:
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- 37.
If a nominal scale is used, it is permissible to calculate which of the following statistics?
- A.
Mean
- B.
Range
- C.
Mode
- D.
Median
Correct Answer
C. ModeExplanation
If a nominal scale is used, it is permissible to calculate the mode. In statistics, the mode refers to the value that appears most frequently in a dataset. Unlike other statistics like mean and median, the mode can be calculated on nominal data because it only requires counting the frequency of each category. This makes it a suitable measure of central tendency for nominal variables, where the data is divided into distinct categories or groups without any inherent order or numerical value.Rate this question:
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- 38.
When p<0.05 is reported in a journal article that you read for an observed relationship it means that the author has rejected null hypothesis, assuming that the author is using the significance level of 5%.
- A.
True
- B.
False
Correct Answer
A. TrueExplanation
When pRate this question:
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- 39.
A____________________________________is a subset of a________________________
- A.
Population, Sample
- B.
Sample, Population
- C.
Statistic, Parameter
- D.
Parameter, Statistic
Correct Answer
B. Sample, PopulationExplanation
A sample is a subset of a population. In statistical analysis, a sample is a smaller group that is selected from a larger population to represent the characteristics of that population. The sample is used to make inferences and draw conclusions about the entire population. It is important for the sample to be representative of the population in order to ensure accurate results.Rate this question:
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- 40.
Below statement is an example of which type of Hypothesis: "There is no relationship between higher motivation level and higher efficiency"
- A.
Alternate
- B.
Null
- C.
Collateral
- D.
Research
Correct Answer
B. NullExplanation
The given statement is an example of a Null Hypothesis. A null hypothesis is a statement that assumes there is no relationship or difference between variables being studied. In this case, the null hypothesis assumes that there is no relationship between higher motivation level and higher efficiency.Rate this question:
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- 41.
______________________results if you fail to reject null hypothesis when the null hypothesis is actually false
- A.
Type-I Error
- B.
Type-II Error
- C.
Type-III Error
- D.
Type-IV Error
Correct Answer
B. Type-II ErrorExplanation
A Type-II Error occurs when you fail to reject the null hypothesis, even though it is actually false. In other words, it is a false negative result. This means that you incorrectly conclude that there is no significant difference or relationship between variables when there actually is. It is important to minimize Type-II Errors as they can lead to missed opportunities and incorrect conclusions in statistical analysis.Rate this question:
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- 42.
A statistical test used to compare two or more group means is known as
- A.
One-Way ANOVA
- B.
Post-Hoc Test
- C.
T-Test for Correlation coefficient
- D.
Simple Regression
Correct Answer
A. One-Way ANOVAExplanation
One-Way ANOVA is the correct answer because it is a statistical test specifically designed to compare means between two or more groups. This test is used to determine if there are any significant differences in the means of the groups being compared. It is commonly used when there is one independent variable and one dependent variable, and the goal is to determine if there is a significant difference in the means of the dependent variable across the different levels of the independent variable.Rate this question:
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- 43.
This is the difference between a sample statistic and corresponding population parameter
- A.
Sampling Error
- B.
Standard Error
- C.
Difference Error
- D.
None of the Above
Correct Answer
A. Sampling ErrorExplanation
Sampling error refers to the discrepancy between a sample statistic and the corresponding population parameter. It occurs due to the fact that a sample is only a subset of the entire population, and therefore may not accurately represent the true characteristics of the population. Sampling error can occur due to various factors such as random sampling, sample size, and variability within the population. It is important to consider and account for sampling error when generalizing the findings from a sample to the larger population.Rate this question:
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- 44.
An analysis used to reduce the data size or compress the data
- A.
ANOVA
- B.
Multivariate Analysis
- C.
Factor Analysis
- D.
Bivariate Analysis
Correct Answer
C. Factor AnalysisExplanation
Factor analysis is a statistical technique used to reduce the data size by identifying underlying factors that explain the patterns in the data. It helps in understanding the relationships among a large number of variables by grouping them into a smaller number of factors. This reduction in data size makes it easier to interpret and analyze the data. Therefore, factor analysis is an appropriate analysis technique for reducing the data size or compressing the data.Rate this question:
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- 45.
Positive correlation is present when
- A.
Two variable move in opposite direction
- B.
Two variables move in the same direction
- C.
One variable goes up and another goes down
- D.
Variables never change
Correct Answer
B. Two variables move in the same directionExplanation
A positive correlation is present when two variables move in the same direction. This means that as one variable increases, the other variable also increases, and as one variable decreases, the other variable also decreases. In other words, there is a direct relationship between the two variables, and they tend to change together.Rate this question:
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- 46.
Which of the following includes examples of quantitative variables
- A.
Age, Temperature, Income, Height
- B.
Grade Point Average, Anxiety Levels, Reading Speed
- C.
Gender, Religion, Ethnic Group
- D.
Both A & B
Correct Answer
D. Both A & BExplanation
Both A and B include examples of quantitative variables. Age, temperature, income, and height are all quantitative variables because they can be measured and expressed numerically. Grade point average, anxiety levels, and reading speed are also quantitative variables because they can be measured on a numerical scale. Gender, religion, and ethnic group, on the other hand, are examples of qualitative variables as they cannot be measured numerically.Rate this question:
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- 47.
Qualities of a good report include:
- A.
Structure, Sequence and Content
- B.
Minimum 80 pages
- C.
Articulated literary sentences
- D.
All of the above
Correct Answer
A. Structure, Sequence and ContentExplanation
A good report should have a well-organized structure, with a clear sequence of information and a logical flow. It should also have relevant and accurate content, presenting the necessary information in a concise and coherent manner. The report should be free from any grammatical errors and should consist of articulate literary sentences. Therefore, the qualities of a good report include structure, sequence, and content.Rate this question:
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- 48.
Which of the following does not determine the size of an adequate sample?
- A.
The nature of population
- B.
Researchers insight into sampling
- C.
The type of sampling design
- D.
The degree of precision desired
Correct Answer
B. Researchers insight into samplingExplanation
The size of an adequate sample is not determined by the researcher's insight into sampling. The size of the sample is typically determined by factors such as the nature of the population, the type of sampling design, and the degree of precision desired. The researcher's insight into sampling may influence the selection of an appropriate sampling design or the determination of the degree of precision desired, but it does not directly determine the size of the sample.Rate this question:
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- 49.
When sample size is more than 30, which method is used to measure the difference between means of the observations?
- A.
Z-test
- B.
T-test
- C.
F-test
- D.
Chi-Square test
Correct Answer
B. T-testExplanation
When the sample size is more than 30, the appropriate method to measure the difference between means of the observations is the t-test. The t-test is used when the population standard deviation is unknown and the sample size is small. It calculates the t-value by comparing the means of two groups and determines whether the difference between them is statistically significant. The t-test is commonly used in hypothesis testing and allows researchers to draw conclusions about the population based on the sample data.Rate this question:
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- 50.
What is the meaning of data?
- A.
Facts
- B.
Truths
- C.
Observations
- D.
Marks Obtained
Correct Answer
C. ObservationsExplanation
Data refers to information that is collected or gathered through various methods such as observation, measurement, or research. It consists of raw facts or details that are used for analysis, interpretation, or decision-making. Observations are a form of data as they involve the systematic gathering and recording of information about a particular phenomenon or event. Therefore, the answer "Observations" is correct as it accurately represents one of the meanings of data.Rate this question:
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Current Version
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Mar 20, 2023Quiz Edited by
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Mar 15, 2014Quiz Created by
Kirankvknet
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