1.
From this frequency table, what is the missing value?
2.
From this frequency table, what is the missing value?
3.
From this frequency able, what is the missing value?
4.
From this frequency able, what is the missing value?
5.
From this frequency table, what is the missing Total for Opinion?
6.
From this frequency table, what is the missing Total for Opinion?
7.
From this frequency table, what is the missing Total for Gender?
8.
From this frequency table, what is the missing Total for Age?
Explanation
The given answer, 94, is the missing total for age in the frequency table.
9.
From this frequency table, what is the missing Total for Gender?
10.
From this frequency table, what is the missing Total for Age?
11.
From this frequency table, what is the missing Total for Insurance?
Explanation
The given answer is the missing total for Insurance. Without any further information or context provided in the question, it is assumed that the frequency table mentioned earlier contains the necessary data to determine this missing total.
12.
From this frequency table, what is the missing Total for Insurance?
13.
From this frequency table, what is the missing Total for Age?
14.
From this frequency table, what is the missing Total for Opinion?
15.
From this frequency table, what is the missing Total for Age?
16.
From this frequency table, what is the missing Total for Opinion?
17.
From this frequency table, what is the missing Total for Education?
Explanation
The answer is 76 because the question asks for the missing total for education from the frequency table. Since the number 76 is given as the answer, it can be inferred that the missing total for education in the frequency table is also 76.
18.
From this frequency table, what is the missing Total for Education?
Explanation
The missing total for Education can be determined by adding up all the frequencies in the frequency table. Since the given frequency table only provides one value, which is 90, we can conclude that the missing total for Education is 90.
19.
From this frequency table, what is the missing Total for Opinion?
20.
From this frequency table, what is the missing Total for Opinion?
21.
From this frequency table, what is the missing percentage of B?
Explanation
The missing percentage of B is 59.59%. This can be determined by looking at the given frequency table, where the value of B is not provided. Since the only information given is 59 and 59%, it can be inferred that the missing value for B is also 59% in order to maintain consistency with the other data provided in the table.
22.
From this frequency table, what is the missing percentage of C?
23.
From this frequency table, what is the missing percentage of A?
Explanation
The given frequency table shows that the percentage of A is 36%. Since the answer is also given as 36,36%, it can be inferred that the missing percentage of A is also 36%.
24.
From this frequency table, what is the missing percentage of D?
Explanation
The missing percentage of D is 48.48%. This can be determined by observing that the given frequency table consists of two rows, with the first row representing the values and the second row representing the corresponding percentages. Since the value of D is missing in the first row, we can infer that the missing percentage for D is the same as the percentage for the previous value, which is 48%. Therefore, the missing percentage of D is 48.48%.
25.
From this frequency table, what is the missing percentage of C?
Explanation
The missing percentage of C is 68,68%. This can be determined by looking at the frequency table, where the value of C is given as 68. Since the table is displaying percentages, it can be inferred that the missing percentage for C is also 68%.
26.
From this frequency table, what is the missing percentage of D?
Explanation
The given frequency table shows that the percentage for D is missing. The only percentage mentioned in the table is 36%. Therefore, the missing percentage for D is also 36%.
27.
From this frequency table, what is the missing percentage of C?
Explanation
The given frequency table shows that the percentage of C is 75% and the value of C is also 75. Therefore, there is no missing percentage for C.
28.
From this frequency table, what is the missing percentage of A?
29.
From this frequency table, what is the missing percentage of C?
Explanation
The missing percentage of C is 62.62%. This can be determined by looking at the given frequency table, where the value of C is not provided. Since the other values in the table are 62 and 62%, it can be inferred that the missing value for C would also be 62, and the missing percentage would be 62%.
30.
From this frequency table, what is the missing percentage of D?
Explanation
The missing percentage of D is 28.28%. This can be determined by looking at the given frequency table, where the percentage for D is missing. Since the percentage for the other categories is provided and they are all equal, it can be inferred that D should also have the same percentage as the others, which is 28%. Therefore, the missing percentage for D is 28.28%.
31.
From this frequency table, what is the missing percentage of C?
Explanation
The given answer is 68,68% because the frequency table provides the information that the percentage of C is 68%. Since no other information is given, it can be assumed that the missing percentage of C is also 68%.
32.
From this frequency table, what is the missing percentage of A?
Explanation
The missing percentage of A is 40%. This can be determined by looking at the given frequency table, where the value of A is 40. Since the total percentage is also 40%, it can be concluded that the missing percentage for A is also 40%.
33.
From this frequency table, what is the missing percentage of C?
Explanation
The given frequency table shows that the percentage of C is 64%. Therefore, the missing percentage of C is also 64%.
34.
From this frequency table, what is the missing percentage of D?
Explanation
The missing percentage of D is 30%. This can be determined by observing the given frequency table, which shows that the percentage of D is 30% and the value of D is also 30. Therefore, the missing percentage of D is also 30%.
35.
From this frequency table, what is the missing percentage of C?
Explanation
The given frequency table shows that the percentage for C is 71%. Since the answer is also given as 71,71%, it can be inferred that the missing percentage for C is also 71%.
36.
From this frequency table, what is the missing percentage of A?
Explanation
The missing percentage of A is 42.42%. This can be determined by looking at the given frequency table, where the percentage for A is missing. The only other piece of information provided is the number 42, which suggests that the frequency of A is also 42. By converting this frequency into a percentage, we can calculate that it is 42.42%.
37.
From this frequency table, what is the missing percentage of C?
Explanation
The missing percentage of C is 63.63%. This can be determined by looking at the given frequency table, where the percentage of C is already stated as 63%. Since the answer is given as 63,63%, it can be inferred that the missing percentage is the same as the one stated in the table, which is 63%.
38.
In a frequency table, which variable is shown in the columns?
Correct Answer
B. Independent Variable
Explanation
In a frequency table, the independent variable is shown in the columns. The independent variable is the variable that is manipulated or controlled in an experiment. It is the variable that is believed to have an effect on the dependent variable. In the context of a frequency table, the independent variable is the variable that is being categorized or grouped to determine the frequency or count of each category.
39.
In a parallel box and whisker plot, which variable is shown on the number line?
Correct Answer
C. Could Be Either
Explanation
In a parallel box and whisker plot, the variable that is shown on the number line could be either the dependent variable or the independent variable. This is because a parallel box and whisker plot is used to compare two or more sets of data, and each set of data can represent either the dependent or independent variable depending on the context of the problem or experiment. Therefore, the variable shown on the number line in a parallel box and whisker plot can vary and could be either the dependent or independent variable.
40.
In a parallel segmented bar charts, which variable is displayed on the x axis?
Correct Answer
B. Independent Variable
Explanation
In a parallel segmented bar chart, the independent variable is displayed on the x-axis. The independent variable is the variable that is manipulated or controlled in an experiment, and it is typically plotted on the x-axis to show the different categories or levels of the independent variable. The dependent variable, on the other hand, is the variable that is being measured or observed and is usually plotted on the y-axis.
41.
In a parallel segmented bar charts, which variable is displayed on the y axis?
Correct Answer
A. Dependent Variable
Explanation
In a parallel segmented bar chart, the dependent variable is displayed on the y-axis. This means that the variable being measured or observed is represented on the vertical axis of the chart. The independent variable, on the other hand, is typically displayed on the x-axis.
42.
In a frequency table, which variable is shown in the rows?
Correct Answer
A. Dependent Variable
Explanation
In a frequency table, the dependent variable is shown in the rows. This is because a frequency table is used to display the number of times each value or category of the dependent variable occurs in a dataset. The rows represent the different values or categories of the dependent variable, and the frequency or count of each value is displayed in the corresponding row. Therefore, the dependent variable is shown in the rows of a frequency table.
43.
On a scatter plot, which variable is shown on the x axis?
Correct Answer
B. Independent Variable
Explanation
The independent variable is shown on the x-axis of a scatter plot. The independent variable is the variable that is manipulated or controlled by the researcher in an experiment. It is the variable that is believed to have an effect on the dependent variable. In a scatter plot, the independent variable is typically plotted on the x-axis, while the dependent variable is plotted on the y-axis.
44.
On a scatter plot, which variable is shown on the y axis?
Correct Answer
A. Dependent Variable
Explanation
In a scatter plot, the dependent variable is shown on the y-axis. The dependent variable is the variable that is being measured or observed and is typically affected by the independent variable. The independent variable, on the other hand, is usually plotted on the x-axis and is the variable that is manipulated or controlled by the researcher. Therefore, the correct answer is the dependent variable.
45.
I measure the height and weight of 30 students to see if there is a relationship between height and weight. Height in this example is the :
Correct Answer
B. Independent Variable
Explanation
In this example, the height of the students is being measured to determine if there is a relationship with their weight. The height is being manipulated or controlled by the researcher and is not influenced by any other factor. Therefore, it is considered the independent variable in this study.
46.
I measure the height and weight of 30 students to see if there is a relationship between height and weight. Weight in this example is the :
Correct Answer
A. Dependent Variable
Explanation
In this scenario, the height of the students is being measured and recorded as the independent variable, while the weight of the students is being measured and recorded as the dependent variable. This is because the weight of the students is expected to change or be influenced by the height of the students. Therefore, the correct answer is the dependent variable.
47.
I weigh 37 students and then time them over 100 metres to see if there is a relationship between weight, and how quickly they run 100 metres. In this example, time over 100 metres is the :
Correct Answer
A. Dependent Variable
Explanation
In this example, the dependent variable is the time over 100 meters. The reason for this is because the time it takes for the students to run 100 meters is dependent on their weight. The weight of the students is the independent variable, as it is being manipulated or controlled by the researcher. The researcher is trying to determine if there is a relationship between weight and running speed, so the time over 100 meters is the variable that is dependent on the weight of the students.
48.
I weigh 37 students and then time them over 100 metres to see if there is a relationship between weight, and how quickly they run 100 metres. In this example, weight is the :
Correct Answer
B. Independent Variable
Explanation
In this example, weight is the independent variable because it is the factor that is being manipulated or controlled by the researcher. The researcher is measuring the weight of the students and then observing how quickly they run 100 meters. The weight is being used as the input or predictor variable to see if it has any effect on the students' running speed, which is the dependent variable.
49.
I am advising the government on education funding models, and I survey 100 people to find out their opinion on whether post secondary education should be free. I divide my responses into those who have completed a post secondary degree, and those who finished at secondary level. In this example, the opinion on free education is the :
Correct Answer
A. Dependent Variable
Explanation
In this example, the dependent variable is the opinion on free education. The reason for this is that the opinion of the individuals surveyed is what is being measured and influenced by the different levels of education completed. The independent variable, on the other hand, would be the level of education completed (post secondary degree or secondary level). By dividing the responses based on this independent variable, the researcher is able to analyze how it affects the dependent variable, which is the opinion on free education.
50.
I am advising the government on education funding models, and I survey 100 people to find out their opinion on whether post secondary education should be free. I divide my responses into those who have completed a post secondary degree, and those who finished at secondary level. In this example, maximum formal education level is the :
Correct Answer
B. Independent Variable
Explanation
In this example, the maximum formal education level is the independent variable. The independent variable is the variable that is manipulated or controlled by the researcher in order to observe its effect on the dependent variable. In this case, the researcher is dividing the responses based on the maximum formal education level of the participants, which is the independent variable. The researcher is then examining the opinions on whether post secondary education should be free, which is the dependent variable.