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The dataset BaseballSalaries2019 contains information about the salaries of all MLB players who were on the active roster at the start of the 2019 season. Use StatKey to answer the following questions. (1) What is the average salary for MLB players on opening day in 2019? Instructions: Go to www.lock5stat.com/StatKey, click "Mean" by "Sampling Distribu- tions," change the dataset to "Baseball Players-3e," and look at the upper right graph. (2) Select a random sample of 30 players and compute the mean salary for the players in your sample. Compare your answer to the population mean. Instructions: Change the sample size to n = 30, click "Generate 1 Sample," and look at the bottom right graph. (3) Select another random sample of 30 players and compute the mean salary. What is the average of the two sample means you've generated? Compare this to the population mean. Instructions: Click "Generate 1 Sample" again, look at the bottom right graph for the new sample mean, and then look at the big graph on the left for the average.

The dataset BaseballSalaries2019 contains information about the salaries of all MLB players who were on the active roster at the start of the 2019 season. Use StatKey to answer the following questions. (1) What is the average salary for MLB players on opening day in 2019? Instructions: Go to www.lock5stat.com/StatKey, click "Mean" by "Sampling Distribu- tions," change the dataset to "Baseball Players-3e," and look at the upper right graph. (2) Select a random sample of 30 players and compute the mean salary for the players in your sample. Compare your answer to the population mean. Instructions: Change the sample size to n = 30, click "Generate 1 Sample," and look at the bottom right graph. (3) Select another random sample of 30 players and compute the mean salary. What is the average of the two sample means you've generated? Compare this to the population mean. Instructions: Click "Generate 1 Sample" again, look at the bottom right graph for the new sample mean, and then look at the big graph on the left for the average.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Have To Use Stat Key please help
The dataset BaseballSalaries2019 contains information about the salaries of all MLB players who were on the active roster at the start of the 2019 season. Use StatKey to answer the following questions. (1) What is the average salary for MLB players on opening day in 2019? Instructions: Go to www.lock5stat.com/StatKey, click "Mean" by "Sampling Distribu- tions," change the dataset to "Baseball Players-3e," and look at the upper right graph. (2) Select a random sample of 30 players and compute the mean salary for the players in your sample. Compare your answer to the population mean. Instructions: Change the sample size to n = 30, click "Generate 1 Sample," and look at the bottom right graph. (3) Select another random sample of 30 players and compute the mean salary. What is the average of the two sample means you've generated? Compare this to the population mean. Instructions: Click "Generate 1 Sample" again, look at the bottom right graph for the new sample mean, and then look at the big graph on the left for the average. (4) What do you think would be the average of the sample means if we took 2000 random samples of 30 players? Guess your answer before you follow these instructions: Instructions: Click "Reset Plot," click "Generate 1000 Samples" twice, and then look at the number under the arrow on the big graph. (5) Describe the shape of the resulting dotplot of sample means.
Transcribed Image Text:The dataset BaseballSalaries2019 contains information about the salaries of all MLB players who were on the active roster at the start of the 2019 season. Use StatKey to answer the following questions. (1) What is the average salary for MLB players on opening day in 2019? Instructions: Go to www.lock5stat.com/StatKey, click "Mean" by "Sampling Distribu- tions," change the dataset to "Baseball Players-3e," and look at the upper right graph. (2) Select a random sample of 30 players and compute the mean salary for the players in your sample. Compare your answer to the population mean. Instructions: Change the sample size to n = 30, click "Generate 1 Sample," and look at the bottom right graph. (3) Select another random sample of 30 players and compute the mean salary. What is the average of the two sample means you've generated? Compare this to the population mean. Instructions: Click "Generate 1 Sample" again, look at the bottom right graph for the new sample mean, and then look at the big graph on the left for the average. (4) What do you think would be the average of the sample means if we took 2000 random samples of 30 players? Guess your answer before you follow these instructions: Instructions: Click "Reset Plot," click "Generate 1000 Samples" twice, and then look at the number under the arrow on the big graph. (5) Describe the shape of the resulting dotplot of sample means.
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