Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
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
Find the critical value, , for a 80% confidence interval.
A
0.10
B
1.282
C
0.40
D
0.90

1
Understand that the critical value, z_{\frac{\alpha}{2}}, is used in constructing confidence intervals for a population mean when the population standard deviation is known.
Recognize that for a confidence level of 80%, the significance level \( \alpha \) is 0.20, because \( \alpha = 1 - \text{confidence level} \).
Calculate \( \frac{\alpha}{2} \) to find the tail probability for the critical value. For \( \alpha = 0.20 \), \( \frac{\alpha}{2} = 0.10 \).
Use the standard normal distribution table or a calculator to find the z-score that corresponds to the cumulative probability of 0.90 (since 1 - 0.10 = 0.90). This z-score is the critical value, z_{\frac{\alpha}{2}}.
Verify the critical value by checking the z-score table or using statistical software to ensure it matches the expected value for a 80% confidence interval.
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