A researcher conducted a chi-square test of independence and obtained a chi-square value of -2.83. Which of the following statements correctly describes this result?An error was made in the calculation - the chi-square test cannot be negative.The chi-square test is significant.The chi-square test is not significant.None of the above.

The given chi-square value is 2.83.

Answered: A researcher conducted a chi-square…

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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State the conditions for applying the Chi-square test. What cautions are to be taken in using this test?
To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the parentheses): 7. 2 Ear 610.5 160.2Female, n 5000, R2 0.086 (9.4) (12.6) (a) Will you do a t or an F test? What is your conclusion? (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?
true or false. when finding the p-value of a chi-square test, we always shade the tail areas in both tails.
Why is chi squared being found for 1-alpha and not 1-alpha/2
Check conditions for the Chi-Square test for independence: The number of people who survived the titanic based on class and sex is collected and attached in the photo. Null: class and sex of a person who survived the titanic are independent. Alt: class and sex of a person who survived the titanic are dependent.
A sports fan conducted a test to investigate whether male high school athletes are equally divided among football, soccer, swimming, tennis, and basketball. A sample of male high school athletes was selected and the resulting value of the chi-square test statistic was 10.65. Which of the following represents the p-value? A P (x > 10.65) = 0.00 В P(x² > 10.65) = 0.03 P (x > 10.65) = 0.06 D P (x² > 10.65) = 0.94 E P(x? > 10.65) = 0.97
The degrees of freedom is critical to computing the p-value for the chi-square goodness of fit. We will discuss the p-value in the next lab. The degrees of freedom for the Chi-Square goodness of fit is equal to (the number of non-zero rows in the table) - 1. The number of non-zero rows is the number of expected values that are non-zero. For example: Phenotype ... Expected ... Disease ... 234 ... Wild-type ... 6743 ... has two rows where the Expected value is non-zero. So the degrees of freedom is 2-1 = 1. Another example: Phenotype ... Expected ... Disease ... 2374 ... Wild-type ... 0 ... has one row where the Expected value is non-zero. So the degrees of freedom is 1-1 = 0. With 0 degrees of freedom, the chi-square test cannot be calculated. A third example (sex-linked): Phenotype ... Expected ... Disease-Male ... 2374 ... Disease-Female ... 9456 Wild-type-Male ... 1001 ... Wild-type-Female ... 235 ... has four rows where the Expected values are…
None
5 a. Perform a Chi-square test Goodness of Fit test on following data to see whether Republicans and Democrats are equally represented in the sample. Report the resulting chi-square number. What is your political affiliation? Republican 102 Democrat 98 200 = QUESTION 5 B Given the chi-square number for the question above, find the associated p-value and indicate the conclusion with regard to H0/H1. We accept H1. We accept H0. We do not reject H1. We do not reject H0.
Choose the correct answer
For the chi-square test of independence, Provide a hypothetical formulation of test of independence.
what is the chi-square test for goodness of fit for the study (use the 0.01 level)State the null and research hypotheses?Determine the cutoff sample score at which the null hypothesis should be rejected.?what is the cutoff score ? Solve for A-F based on the chart attached?

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