his year Carroll graduates 8 physics majors, and each of them takes a standardized national physics test. All students across the country who take this test have an average score of 71, and the scores are normally distributed. The scores of these 8 students are as follows: 56 58 67 69 79 96 97 97 Test to see if the sample mean is significantly different from 71 at the 0.1 level. Report the test statistic and p value

his year Carroll graduates 8 physics majors, and each of them takes a standardized national physics test. All students across the country who take this test have an average score of 71, and the scores are normally distributed. The scores of these 8 students are as follows: 56 58 67 69 79 96 97 97 Test to see if the sample mean is significantly different from 71 at the 0.1 level. Report the test statistic and p value

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 10CYU

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This year Carroll graduates 8 physics majors, and each of them takes a standardized national physics test. All students across the country who take this test have an average score of 71, and the scores are normally distributed. The scores of these 8 students are as follows: 56 58 67 69 79 96 97 97

Test to see if the sample mean is significantly different from 71 at the 0.1 level.

Report the test statistic

and p value

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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