Ages of Moviegoers Find the sample size needed to estimate the mean age of movie patrons, given that we want 98% confidence that the sample mean is within 1.5 years of the population mean. Assume that sigma=19.6 years, based on a previous report from the Motion Picture Association of America. Could the sample be obtained from one movie at one theater?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- 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
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 6m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit1h 57m
- 14. ANOVA1h 57m
7. Sampling Distributions & Confidence Intervals: Mean
Confidence Intervals for Population Mean
Problem 7.2.28b
Textbook Question
Mean Body Temperature Data Set 5 “Body Temperatures” in Appendix B includes 106 body temperatures of adults for Day 2 at 12 AM, and they vary from a low of 96.5F to a high of 99.6F. Find the minimum sample size required to estimate the mean body temperature of all adults. Assume that we want 98% confidence that the sample mean is within 0.1F of the population mean.
b. Assume that sigma=0.62F, based on the value of s=0.62F for the sample of 106 body temperatures.
Verified step by step guidance1
Step 1: Identify the formula for determining the minimum sample size required to estimate the population mean. The formula is: n = (Z * σ / E)^2, where n is the sample size, Z is the z-score corresponding to the desired confidence level, σ is the population standard deviation, and E is the margin of error.
Step 2: Determine the values for the variables in the formula. From the problem, the confidence level is 98%, so the z-score (Z) corresponding to 98% confidence can be found using a z-table or statistical software. The population standard deviation (σ) is given as 0.62°F, and the margin of error (E) is 0.1°F.
Step 3: Substitute the values into the formula. Replace Z with the z-score for 98% confidence, σ with 0.62, and E with 0.1. The formula becomes: n = (Z * 0.62 / 0.1)^2.
Step 4: Simplify the expression inside the parentheses first. Multiply the z-score (Z) by 0.62, then divide the result by 0.1.
Step 5: Square the result from Step 4 to calculate the minimum sample size (n). Round up to the nearest whole number, as sample size must be an integer.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Sample Size Determination
Sample size determination is a statistical process used to calculate the number of observations needed to achieve a desired level of precision in estimating a population parameter. In this context, it involves using the desired confidence level and margin of error to ensure that the sample mean accurately reflects the population mean within specified limits.
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Confidence Interval
A confidence interval is a range of values, derived from a data set, that is likely to contain the population parameter with a specified level of confidence. For example, a 98% confidence interval means that if we were to take many samples and build intervals, approximately 98% of those intervals would contain the true population mean.
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Standard Deviation and Population Variance
Standard deviation is a measure of the amount of variation or dispersion in a set of values. In this scenario, the standard deviation (sigma) of 0.62F indicates how much individual body temperatures deviate from the mean. This value is crucial for calculating the sample size needed to achieve the desired confidence level and margin of error.
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