that the IQ scores of statisticss professors are normally distributed, with a mean less than 126. A sample of 17 professors had a mean IQ score of 125 with a standard deviation of 10. Find the value of the test statistic The claim The value of the test statistic is (Round to three decimal places as needed.)

that the IQ scores of statisticss professors are normally distributed, with a mean less than 126. A sample of 17 professors had a mean IQ score of 125 with a standard deviation of 10. Find the value of the test statistic The claim The value of the test statistic is (Round to three decimal places as needed.)

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Description: The claim is that the IQ scores of statistics professors are normally distributed, with a mean less than 126.A sample of 17 professors had a mean IQ score of 125 with a standard deviation of 10.Find the value of the test statistic. that the IQ score

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 26PFA

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The claim is that the IQ scores of statistics professors are normally distributed, with a mean less than 126.A sample of 17 professors had a mean IQ score of 125 with a standard deviation of 10.Find the value of the test statistic.

that the IQ scores of statisticss professors are normally distributed, with a mean less than 126. A sample of 17 professors had a mean IQ score of 125 with a standard deviation of 10. Find the value of the test statistic
The claim
The value of the test statistic is
(Round to three decimal places as needed.)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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