A market analyst is estimating the average monthly spending on online subscriptions among young adults. The point estimate y for the average monthly spending is , with a margin of error of at a confidence level. Write and interpret a Confidence Interval for the average monthly spending.
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically1h 48m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables2h 55m
- 6. Normal Distribution & Continuous Random Variables1h 48m
- 7. Sampling Distributions & Confidence Intervals: Mean2h 8m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample2h 23m
- 10. Hypothesis Testing for Two Samples3h 25m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
7. Sampling Distributions & Confidence Intervals: Mean
Introduction to Confidence Intervals
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following analytical techniques is primarily used to estimate a population parameter based on sample data?
A
Confidence intervals
B
Hypothesis testing
C
Regression analysis
D
Time series forecasting

1
Step 1: Begin by understanding the concept of a population parameter. A population parameter is a numerical characteristic of a population, such as the mean or proportion, which we often aim to estimate using sample data.
Step 2: Review the purpose of confidence intervals. Confidence intervals are a statistical technique used to estimate a population parameter by providing a range of values within which the parameter is likely to fall, based on sample data.
Step 3: Compare confidence intervals with other techniques listed in the options. Hypothesis testing is used to test claims or assumptions about a population parameter, regression analysis is used to model relationships between variables, and time series forecasting is used to predict future values based on historical data.
Step 4: Recognize that confidence intervals are specifically designed to estimate population parameters, making them the correct analytical technique for this purpose.
Step 5: Conclude that confidence intervals are the most appropriate choice for estimating a population parameter based on sample data, as they provide a range of plausible values for the parameter.
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