Which Is More Likely? Assume that the fertility rates in Exercise 32 are normally distributed. Are you more likely to randomly select a state with a fertility rate of less than 65 or to randomly select a sample of 15 states in which the mean of the state fertility rates is less than 65? Explain.
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
Sampling Distribution of the Sample Mean and Central Limit Theorem
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
If and , find the probability of getting a sample mean above 3.5 in a sample of 60 people.
A
0.009
B
0.018
C
0.003
D
0.006

1
Identify the given values: The population mean (μ_X) is 3.2, the population standard deviation (σ_X) is 0.98, and the sample size (n) is 60. We are tasked with finding the probability of the sample mean being greater than 3.5.
Calculate the standard error of the mean (SE) using the formula: . Substitute the values of σ_X = 0.98 and n = 60 into the formula.
Standardize the sample mean to a z-score using the formula: . Here, X̄ = 3.5, μ_X = 3.2, and SE is the value calculated in the previous step.
Use the z-score obtained to find the cumulative probability from the standard normal distribution table. This gives the probability of the sample mean being less than 3.5.
To find the probability of the sample mean being greater than 3.5, subtract the cumulative probability from 1. This final value represents the probability of the sample mean exceeding 3.5.
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Sampling Distribution of the Sample Mean and Central Limit Theorem practice set
