For which of the following scenarios can you NOT create a confidence interval using the standard normal or Student t-distribution?
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
Confidence Intervals for Population Mean
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Fill out the table using a calculator and .

A
B
C
D

1
Step 1: Understand the table structure. The table includes columns for Confidence Level (C), Significance Level (α), Area to the Left (α/2), Degrees of Freedom (df = n - 1), and Critical Value (tC = tα/2).
Step 2: Identify the given sample size (n = 30). Calculate the degrees of freedom using the formula df = n - 1. For n = 30, df = 30 - 1 = 29.
Step 3: For each confidence level (90%, 95%, 99%), determine the significance level (α). For example, α = 1 - Confidence Level. For 90%, α = 0.10; for 95%, α = 0.05; for 99%, α = 0.01.
Step 4: Divide the significance level (α) by 2 to find the Area to the Left (α/2). For example, for α = 0.10, α/2 = 0.05; for α = 0.05, α/2 = 0.025; for α = 0.01, α/2 = 0.005.
Step 5: Use a t-distribution table or calculator to find the critical value (tC = tα/2) corresponding to the calculated degrees of freedom (df = 29) and the Area to the Left (α/2) for each confidence level. Fill in the table with these values.
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