The given information is available for two samples selected from independent normally distributed populations. Population A: n, 28, s? - 235.2 Population B: n2 = 28, s3 = 88.5 In testing the null hypothesis Ho: of = až, the value of FSTAT is 2.66. There are 27 degrees of freedom in the numerator and 27 degrees of freedom in the denominator. For the alternative hypothesis H: of ta3, at the a = 0.10 level of significance, the upper tail critical value is 1.90. What is the correct statistical decision? Choose the correct answer below. O A. Do not reject Ho. There is sufficient evidence that the population variances are different. O B. Reject Hg. There is sufficient evidence that the population variances are different. OcC. Do not reject Ho. There is insufficient evidence that the population variances are different. O D. Reject Hg. There is insufficient evidence that the population variances are different.

The given information is available for two samples selected from independent normally distributed populations. Population A: n, 28, s? - 235.2 Population B: n2 = 28, s3 = 88.5 In testing the null hypothesis Ho: of = až, the value of FSTAT is 2.66. There are 27 degrees of freedom in the numerator and 27 degrees of freedom in the denominator. For the alternative hypothesis H: of ta3, at the a = 0.10 level of significance, the upper tail critical value is 1.90. What is the correct statistical decision? Choose the correct answer below. O A. Do not reject Ho. There is sufficient evidence that the population variances are different. O B. Reject Hg. There is sufficient evidence that the population variances are different. OcC. Do not reject Ho. There is insufficient evidence that the population variances are different. O D. Reject Hg. There is insufficient evidence that the population variances are different.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

The given information is available for two samples selected from independent normally distributed populations.
Population A: n, = 28, s? = 235.2
Population B: n, = 28, s = 88.5
In testing the null hypothesis Ho: o? = o3, the value of FSTAT is 2.66. There are 27 degrees of freedom in the numerator and 27 degrees of freedom in the denominator. For the alternative hypothesis H1: of to3, at the a = 0.10 level of significance, the upper tail critical
value is 1.90. What is the correct statistical decision?
Choose the correct answer below.
O A. Do not reject Hn. There is sufficient evidence that the population variances are different.
O B. Reject Hn. There is sufficient evidence that the population variances are different.
Oc. Do not reject Ho. There is insufficient evidence that the population variances are different.
O D. Reject Hn. There is insufficient evidence that the population variances are different.

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