Find the critical value for a 95% confidence interval given a sample size of 6.
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 2m
- 3. Describing Data Numerically2h 8m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables3h 28m
- 6. Normal Distribution & Continuous Random Variables2h 21m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 37m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals22m
- Confidence Intervals for Population Mean1h 26m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 20m
- 9. Hypothesis Testing for One Sample5h 15m
- Steps in Hypothesis Testing1h 13m
- Performing Hypothesis Tests: Means1h 1m
- Hypothesis Testing: Means - Excel42m
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- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions29m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 35m
- Two Proportions1h 12m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 2m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
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- Two Variances and F Distribution29m
- Two Variances - Graphing Calculator15m
- 11. Correlation1h 24m
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- Coefficient of Determination12m
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- 14. ANOVA2h 32m
7. Sampling Distributions & Confidence Intervals: Mean
Confidence Intervals for Population Mean
Multiple Choice
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 and sample standard deviation of \$2500. Construct and interpret a 94% confidence interval for the true mean price for the new Nissan Altima.
A
(24996.25, 25003.75); We are 94% confident that the true mean price for the new Nissan Altima falls between \$24996.25 and \$25003.75.
B
(24999.25, 25000.24); We are 94% confident that the true mean price for the new Nissan Altima falls between \$24999.25 and \$25000.24.
C
(24984.912, 25015.088); We are 94% confident that the true mean price for the new Nissan Altima falls between \$24984.912 and \$25015.088.
D
(24764.25, 25235.75); We are 94% confident that the true mean price for the new Nissan Altima falls between \$24764.25 and \$25235.75.
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Verified step by step guidance1
Identify the sample mean (\( \bar{x} \)) and sample standard deviation (\( s \)) from the problem. Here, \( \bar{x} = 25000 \) and \( s = 2500 \).
Determine the sample size (\( n \)), which is given as 400 dealerships.
Select the confidence level, which is 94%. This will help you find the critical value (\( z^* \)) from the standard normal distribution table.
Calculate the standard error of the mean (SEM) using the formula: \( \text{SEM} = \frac{s}{\sqrt{n}} \).
Construct the confidence interval using the formula: \( \bar{x} \pm z^* \times \text{SEM} \). This will give you the range within which the true mean price is expected to fall with 94% confidence.
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