Report all answers accurate to three decimal places. But retain unrounded numbers for future calculations. What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, and remember to use the unrounded Pearson residuals in your calculations.) What are the degrees of freedom for this test? d.f.= What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = Is the p-value less than a? O yes Ono This test statistic leads to a decision to... Oreject the null O accept the null O fail to reject the null O accept the alternative As such, the final conclusion is that... llu likaly

Report all answers accurate to three decimal places. But retain unrounded numbers for future calculations. What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, and remember to use the unrounded Pearson residuals in your calculations.) What are the degrees of freedom for this test? d.f.= What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = Is the p-value less than a? O yes Ono This test statistic leads to a decision to... Oreject the null O accept the null O fail to reject the null O accept the alternative As such, the final conclusion is that... llu likaly

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

100%

You are conducting a multinomial hypothesis test (a = 0.05) for the claim that all 5 categories are equally
likely to be selected. Complete the table.
Observed
Expected
Category
Frequency Frequency
A
B
11
C
22
D
21
Report all answers accurate to three decimal places. But retain unrounded numbers for future
calculations.
What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, and
remember to use the unrounded Pearson residuals in your calculations.)
X =
What are the degrees of freedom for this test?
d.f.=
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =
Is the p-value less than a?
Oyes
O no
This test statistic leads to a decision to...
Oreject the null
O accept the null
O fail to reject the null
O accept the alternative
As such, the final conclusion is that...
O There is sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely
to be selected.
O There is not sufficient evidence to warrant rejection of the claim that all 5 categories are equally
likely to be selected.
OThe sample data support the claim that all 5 categories are equally likely to be selected.
O There is not sufficient sample evidence to support the claim that all 5 categories are equally likely to
be selected.

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