A previous study found that your school consists of White/Caucasian students. You want the confidence interval for the proportion of White/Caucasian students to be no more than away from the true proportion. How many students must you include in a sample to create this confidence interval?
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- 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
8. Sampling Distributions & Confidence Intervals: Proportion
Confidence Intervals for Population Proportion
Problem 6.R.4b
Textbook Question
Arm Circumferences Arm circumferences of adult men are normally distributed with a mean of 33.64 cm and a standard deviation of 4.14 cm (based on Data Set 1 “Body Data” in Appendix B). A sample of 25 men is randomly selected and the mean of the arm circumferences is obtained.
b. What is the mean of all such sample means?
Verified step by step guidance1
Identify the key information provided in the problem: the population mean (μ = 33.64 cm), the population standard deviation (σ = 4.14 cm), and the sample size (n = 25).
Recall the property of the sampling distribution of the sample mean: the mean of the sampling distribution of the sample mean is equal to the population mean (μ).
State the formula for the mean of the sampling distribution of the sample mean: μ_x̄ = μ, where μ_x̄ is the mean of the sample means and μ is the population mean.
Substitute the given population mean (μ = 33.64 cm) into the formula to determine the mean of the sample means.
Conclude that the mean of all such sample means is equal to the population mean, which is 33.64 cm.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Sampling Distribution of the Sample Mean
The sampling distribution of the sample mean refers to the distribution of means obtained from all possible samples of a specific size drawn from a population. According to the Central Limit Theorem, this distribution will be approximately normal if the sample size is sufficiently large, regardless of the population's distribution. The mean of this sampling distribution equals the population mean.
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Central Limit Theorem
The Central Limit Theorem (CLT) states that the distribution of the sample means will approach a normal distribution as the sample size increases, typically n ≥ 30 is considered sufficient. This theorem is crucial for making inferences about population parameters based on sample statistics, as it allows for the application of normal probability methods even when the original population distribution is not normal.
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Mean of Sample Means
The mean of all sample means, also known as the expected value of the sample mean, is equal to the population mean. In this case, since the population mean of arm circumferences is given as 33.64 cm, the mean of all sample means for samples of size 25 will also be 33.64 cm. This concept is fundamental in inferential statistics, as it underpins the reliability of sample estimates.
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