You want to purchase one of the new Altima. You randomly select 400 dealerships across the United States and find a mean of $25,000. Assume a population standard deviation of $2500. Construct and interpret a 94% confidence interval for the true mean price for the new Nissan Altima.
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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You ask 16 people in your Statistics class what their grade is. The data appears to be distributed normally. You find a sample mean and sample standard deviation of 60 and 24, respectively. Construct and interpret a 95% confidence interval for the population mean class grade.
A
(10.14, 37.86); We are 95% confident that the interval for the population mean class grade falls in between 10.14 and 37.86.
B
(47.214, 72.786); We are 95% confident that the interval for the population mean class grade falls in between 47.214 and 72.786
C
(-10.65, 58.65); We are 95% confident that the interval for the population mean class grade falls in between -10.65 and 58.65.
D
(25.35, 94.65); We are 95% confident that the interval for the population mean class grade falls in between 25.35 and 94.65.

1
Identify the sample mean (\( \bar{x} \)) and sample standard deviation (\( s \)) from the problem. Here, \( \bar{x} = 60 \) and \( s = 24 \).
Determine the sample size (\( n \)), which is 16 in this case.
Since the sample size is less than 30 and the population standard deviation is unknown, use the t-distribution to construct the confidence interval. Find the t-score for a 95% confidence level with \( n-1 = 15 \) degrees of freedom.
Calculate the standard error (SE) of the sample mean using the formula: \( SE = \frac{s}{\sqrt{n}} \).
Construct the confidence interval using the formula: \( \bar{x} \pm (t \times SE) \), where \( t \) is the t-score obtained in step 3.
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Confidence Intervals for Population Mean practice set
