You wish to test the claim that μ<21 at a level of significance of 0.01.In a sample of size 49, you find the sample mean to be 2020.Assuming the population standard deviation σ=2.57 and the values are normally distributed, compute the value of the test statistic and p-value.The test statistic is −0.39-0.39 and the p-value is 0.34830.3483 .The test statistic is 0.390.39 and the p-value is 0.65170.6517 .The test statistic is −2.72-2.72 and the p-value is 0.99670.9967 .The test statistic is −2.72-2.72 and the p-value is 0.00330.0033 .The test statistic is 2.722.72 and the p-value is 0.99670.9967 .

Denote μ as the population mean.

Answered: You wish to test the claim that μ<21 at…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Concept explainers

Question

You wish to test the claim that μ<21 at a level of significance of 0.01.

In a sample of size 49, you find the sample mean to be 2020.

Assuming the population standard deviation σ=2.57 and the values are normally distributed, compute the value of the test statistic and p-value.

The test statistic is −0.39-0.39 and the p-value is 0.34830.3483 .
The test statistic is 0.390.39 and the p-value is 0.65170.6517 .
The test statistic is −2.72-2.72 and the p-value is 0.99670.9967 .
The test statistic is −2.72-2.72 and the p-value is 0.00330.0033 .
The test statistic is 2.722.72 and the p-value is 0.99670.9967 .

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.

Expert Solution

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Point Estimation, Limit Theorems, Approximations, and Bounds$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions