5. Determine whether the hypothesis test involves a sampling distribution of means that is a normal distribution, a t distribution or neither. Explain. The claim is μ= 78. the sample data: n=24, x¯= 101, s = 15.3. The sample data appear to come from a population with a distribution that is very far from. normal, and σ is unknown.

5. Determine whether the hypothesis test involves a sampling distribution of means that is a normal distribution, a t distribution or neither. Explain. The claim is μ= 78. the sample data: n=24, x¯= 101, s = 15.3. The sample data appear to come from a population with a distribution that is very far from. normal, and σ is unknown.

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

5. Determine whether the hypothesis test involves a sampling distribution of means that is a normal distribution, a t distribution or neither. Explain.

The claim is μ= 78. the sample data: n=24, x¯= 101, s = 15.3. The sample data appear to come from a population with a distribution that is very far from. normal, and σ is unknown.

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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