If n=31, ¯xx¯(x-bar)=40, and s=5, construct a confidence interval at a 98% confidence level. Assume the data came from a normally distributed population.Give your answers to one decimal place. If n=31, a(x-bar)=40, and s=5, construct a confidence interval at a 98% confidence level. Assume the datacame from a normally distributed population.Give your answers to one decimal place.Check Answer

Given that Sample Mean \bar XXˉ = 4040 Sample Standard Deviation (s)(s) = 55 Sample Size…

If n-31, (x-bar)=40, and s-5, construct a confidence interval at a 98% confidence level. Assume the data came from a normally distributed population. Give your answers to one decimal place. με Check Answer

If n-31, (x-bar)=40, and s-5, construct a confidence interval at a 98% confidence level. Assume the data came from a normally distributed population. Give your answers to one decimal place. με Check Answer

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 1GP

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Question

100%

If n=31, ¯xx¯(x-bar)=40, and s=5, construct a confidence interval at a 98% confidence level. Assume the data came from a normally distributed population.

Give your answers to one decimal place.

If n=31, a(x-bar)=40, and s=5, construct a confidence interval at a 98% confidence level. Assume the data
came from a normally distributed population.
Give your answers to one decimal place.
Check Answer

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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