You research the salaries of senior-level civil engineers and find that the population mean is $131,935. In Exercise 4, does the t-value fall between -t0.95 and t0.95?
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
Problem 6.T.3c
Textbook Question
The data set represents the scores of 12 randomly selected students on the SAT Physics Subject Test. Assume the population test scores are normally distributed and the population standard deviation is 108. (Adapted from The College Board)

c. Would it be unusual for the population mean to be under 575? Explain.

1
Step 1: Calculate the sample mean (x̄) using the provided data set. Add all the scores together and divide by the total number of scores (12). The formula is x̄ = (Σx) / n, where Σx is the sum of all scores and n is the number of scores.
Step 2: Determine the standard error of the mean (SE). The formula for SE is SE = σ / √n, where σ is the population standard deviation (108) and n is the sample size (12).
Step 3: Calculate the z-score to determine how far the sample mean is from the hypothesized population mean of 575. The formula for the z-score is z = (x̄ - μ) / SE, where μ is the hypothesized population mean (575).
Step 4: Use the z-score to find the corresponding probability (p-value) from the standard normal distribution table. This will indicate the likelihood of observing a sample mean as extreme as the calculated mean if the population mean were truly 575.
Step 5: Interpret the p-value. If the p-value is less than 0.05 (or another chosen significance level), it would be unusual for the population mean to be under 575. Otherwise, it would not be considered unusual.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Normal Distribution
Normal distribution is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. In this context, the SAT Physics scores are assumed to follow a normal distribution, which allows for the application of statistical methods to analyze the data and make inferences about the population.
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Population Mean
The population mean is the average of all possible values in a population. It is a key parameter in statistics, as it provides a measure of central tendency. In this question, determining whether the population mean could be under 575 involves comparing it to the expected distribution of scores based on the provided data and standard deviation.
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Standard Deviation
Standard deviation is a measure of the amount of variation or dispersion in a set of values. A low standard deviation indicates that the values tend to be close to the mean, while a high standard deviation indicates that the values are spread out over a wider range. In this case, the population standard deviation of 108 helps assess how unusual it would be for the population mean to fall below a certain threshold, such as 575.
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