Find the critical value for an 80% confidence interval given a sample size of 51.
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 53m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample2h 19m
- 10. Hypothesis Testing for Two Samples3h 22m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
7. Sampling Distributions & Confidence Intervals: Mean
Confidence Intervals for Population Mean
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
You want to take a trip to Paris. You randomly select 225 flights to Europe and find a mean and sample standard deviation of $1500 and $900, respectively. Construct and interpret a 95% confidence interval for the true mean price for a trip to Paris.
A
(1381.74, 1618.26)
B
(702.9, 1097.1)
C
(897.5, 902.5)
D
(1498.5, 1501.5)

1
Identify the sample mean (\(\bar{x}\)) as $1500 and the sample standard deviation (s) as $900. The sample size (n) is 225.
Determine the critical value for a 95% confidence interval. Since the sample size is large (n > 30), use the Z-distribution. The critical value (Z) for a 95% confidence interval is approximately 1.96.
Calculate the standard error of the mean (SE) using the formula: \(SE = \frac{s}{\sqrt{n}}\). Substitute the values: \(SE = \frac{900}{\sqrt{225}}\).
Compute the margin of error (ME) using the formula: \(ME = Z \times SE\). Substitute the values: \(ME = 1.96 \times SE\).
Construct the confidence interval by adding and subtracting the margin of error from the sample mean: \((\bar{x} - ME, \bar{x} + ME)\). Substitute the values to find the interval.
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