Confidence Intervals Assessment Test

Reviewed by Editorial Team
The ProProfs editorial team is comprised of experienced subject matter experts. They've collectively created over 10,000 quizzes and lessons, serving over 100 million users. Our team includes in-house content moderators and subject matter experts, as well as a global network of rigorously trained contributors. All adhere to our comprehensive editorial guidelines, ensuring the delivery of high-quality content.
Learn about Our Editorial Process
| By Cripstwick
C
Cripstwick
Community Contributor
Quizzes Created: 636 | Total Attempts: 835,032
| Attempts: 524
Quiz Flashcard
SettingsSettings
Please wait...
  • 1/10 Questions

    A range of values that is likely to contain the value of an unknown population parameter is...

    • Density
    • Linear 
    • Discreet
    • Confidence interval
Please wait...
About This Quiz

Confidence intervals are used in statistics as a type of interval estimate that is computed from the observed data. Take this assessment test to evaluate your knowledge of confidence intervals.

Confidence Intervals Assessment Test - Quiz

Quiz Preview

  • 2. 
    Which is an important parameter in calculating confidence interval? - ProProfs

    Which is an important parameter in calculating confidence interval?

    • Mean

    • Ratio

    • Time

    • Level

    Correct Answer
    A. Mean
    Explanation
    The mean is an important parameter in calculating the confidence interval because it represents the average value of a dataset. The confidence interval is a range of values that is likely to contain the true population mean. By calculating the mean and determining the variability of the data, statisticians can estimate the range within which the true population mean is likely to fall with a certain level of confidence.

    Rate this question:

  • 3. 
    A statistic expressing the amount of random sampling error in a survey's results is... - ProProfs

    A statistic expressing the amount of random sampling error in a survey's results is...

    • Curve

    • Line

    • Margin of error

    • Error of slope

    Correct Answer
    A. Margin of error
    Explanation
    The margin of error is a statistic used to measure the amount of random sampling error in a survey's results. It indicates the range within which the true population value is likely to fall. A larger margin of error suggests a higher level of uncertainty in the survey's findings, while a smaller margin of error indicates a higher level of confidence in the results. Therefore, the correct answer is "Margin of error."

    Rate this question:

  • 4. 
    What is the critical value for 95 percent confidence interval? - ProProfs

    What is the critical value for 95 percent confidence interval?

    • 1

    • 0

    • 0.88

    • 1.96

    Correct Answer
    A. 1.96
    Explanation
    The critical value for a 95 percent confidence interval is 1.96. This value is used in statistical calculations to determine the range within which the true population parameter is likely to fall. A 95 percent confidence interval means that there is a 95 percent probability that the true parameter lies within the calculated interval. The critical value of 1.96 corresponds to a two-tailed test with a 5 percent level of significance, where 2.5 percent is allocated to each tail of the distribution.

    Rate this question:

  • 5. 
    Which is a type of estimate for population parameter?   - ProProfs

    Which is a type of estimate for population parameter?  

    • Shore

    • Super 

    • Off estimate

    • Point estimate

    Correct Answer
    A. Point estimate
    Explanation
    A point estimate is a type of estimate for a population parameter. It is a single value that is used to estimate the unknown population parameter. This estimate is based on sample data and is used to make inferences about the population. It provides a specific value that is believed to be close to the true value of the parameter.

    Rate this question:

  • 6. 
    What is the confidence interval for 99? - ProProfs

    What is the confidence interval for 99?

    • 1.01

    • 2.58

    • 3.89

    • 0.66

    Correct Answer
    A. 2.58
    Explanation
    The confidence interval is a range of values within which we can be confident that the true value lies. In this case, the confidence interval for 99 is represented by the number 2.58. This means that we can be confident that the true value of 99 falls within the range of 2.58.

    Rate this question:

  • 7. 
    What is the z value for 99 confidence interval? - ProProfs

    What is the z value for 99 confidence interval?

    • 3.33

    • 0.06

    • 2.58

    • 1.88

    Correct Answer
    A. 2.58
    Explanation
    The z value for a 99% confidence interval is 2.58. This value is derived from the standard normal distribution table and represents the number of standard deviations away from the mean that encompasses 99% of the data. In other words, if we were to construct a confidence interval using this z value, we can be 99% confident that the true population parameter falls within the interval.

    Rate this question:

  • 8. 
    Wide confidence intervals mean that your sample size was too... - ProProfs

    Wide confidence intervals mean that your sample size was too...

    • Huge

    • Small

    • Big

    • Wide

    Correct Answer
    A. Small
    Explanation
    Wide confidence intervals indicate that there is a large amount of uncertainty in the estimate. This means that the sample size used to calculate the confidence interval was too small. A small sample size leads to less precise estimates and wider intervals, as there is less data to draw conclusions from. Therefore, the correct answer is "Small".

    Rate this question:

  • 9. 
    Which is an example of dichotomous variable? - ProProfs

    Which is an example of dichotomous variable?

    • Estimate

    • Portion 

    • Density

    • Population proportion

    Correct Answer
    A. Population proportion
    Explanation
    A dichotomous variable is a variable that can only take on two distinct values. In this case, the population proportion is an example of a dichotomous variable because it represents the proportion of a population that possesses a certain characteristic or falls into a specific category. It can only have two possible values - either the proportion possesses the characteristic or it does not. The other options, such as estimate, portion, and density, are not dichotomous variables as they can have multiple values.

    Rate this question:

  • 10. 
    The null value of the confidence interval for the relative risk is... - ProProfs

    The null value of the confidence interval for the relative risk is...

    • 0

    • 1

    • 2

    • 15

    Correct Answer
    A. 1
    Explanation
    The null value of the confidence interval for the relative risk is 1. This means that there is no difference in the risk between the two groups being compared. If the confidence interval includes 1, it suggests that there is no statistically significant difference in the relative risk between the groups.

    Rate this question:

Quiz Review Timeline (Updated): Mar 21, 2023 +

Our quizzes are rigorously reviewed, monitored and continuously updated by our expert board to maintain accuracy, relevance, and timeliness.

  • Current Version
  • Mar 21, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Dec 27, 2017
    Quiz Created by
    Cripstwick
Back to Top Back to top
Advertisement
×

Wait!
Here's an interesting quiz for you.

We have other quizzes matching your interest.