The National Assessment of Educational Progress (NAEP) includes a mathematics test for high school seniors. Scores on the test range from 0 to 300. The NEAP test is given to a simple random sample of 900 12th graders from large population with μ=150 and σ=35. The sample mean, ?̅, will vary if you take repeated samples. a. Is the sample mean, ?̅, normally distributed? What is ??̅ and ??̅? b. What is the margin of error for a 99% Confidence interval?

The National Assessment of Educational Progress (NAEP) includes a mathematics test for high school seniors. Scores on the test range from 0 to 300. The NEAP test is given to a simple random sample of 900 12th graders from large population with μ=150 and σ=35. The sample mean, ?̅, will vary if you take repeated samples. a. Is the sample mean, ?̅, normally distributed? What is ??̅ and ??̅? b. What is the margin of error for a 99% Confidence interval?

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

The National Assessment of Educational Progress (NAEP) includes a mathematics test for high school seniors. Scores on the test range from 0 to 300. The NEAP test is given to a simple random sample of 900 12th graders from large population with μ=150 and σ=35. The sample mean, ?̅, will vary if you take repeated samples.
a. Is the sample mean, ?̅, normally distributed? What is ?_?̅ and ?_?̅?
b. What is the margin of error for a 99% Confidence interval?

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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