You wish to test the following claim (HaHa) at a significance level of α=0.05α=0.05. Ho:μ=67.5Ho:μ=67.5 Ha:μ>67.5Ha:μ>67.5 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n=10n=10 with mean M=77.3M=77.3 and a standard deviation of SD=19.4SD=19.4. What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value =

You wish to test the following claim (HaHa) at a significance level of α=0.05α=0.05. Ho:μ=67.5Ho:μ=67.5 Ha:μ>67.5Ha:μ>67.5 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n=10n=10 with mean M=77.3M=77.3 and a standard deviation of SD=19.4SD=19.4. What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value =

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

You wish to test the following claim (HaHa) at a significance level of α=0.05α=0.05.

Ho:μ=67.5Ho:μ=67.5
Ha:μ>67.5Ha:μ>67.5

You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n=10n=10 with mean M=77.3M=77.3 and a standard deviation of SD=19.4SD=19.4.

What is the p-value for this sample? (Report answer accurate to four decimal places.)
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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