Answered: Explain how the chi-square tests differ…

Explain how the chi-square tests differ from parametric tests (such as t tests or ANOVA) with respect to the hypotheses, the data, and the assumptions underlying the test.

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

See similar textbooks

Related questions

Q: Can you give an example of how the importance of the goodness of fit test to the chi-square test?

A: Step 1: The goodness of fit test to the chi-square test is a statistical hypothesis, which helps to…

Q: A simple main effect test is appropriate for analyzing which significant result?

A: Simple Effects : is appropriate for analyzing a significant interaction, follow-up tests are…

Q: A null hypothesis is not rejected at a given level of significance. As the assumed value of the mean…

A: Type I Error: Reject the null hypothesis when it is true, called a type I error. It is also known…

Q: What information is provided by calculations of the “chi-square” test statistic?

A: The chi-square test statistics, it could be calculated:

Q: A medical researcher claims that less than 24% of adults in a certain country are smokers. In a…

A: From the provided information, The hypotheses can be constructed as: H0: p = 0.24 Ha: p < 0.24…

Q: An experiment was conducted to determine the effect of exercises on elders' (above 60 years old)…

A: Test is that whether there is an effect of exercises on elder's memory. It is given that there are…

Q: Explain the differences between a One-Way and a Two-Way Chi-Square Test. Which of these do you think…

A: One Way Chi-Square Test is used to test the general goodness of fit of the data i.e., it checks if…

Q: ANOVA is based on an F-ratio that is calculated as the ratio of two variance estimates, the variance…

A: An analysis of variance is the statistical technique to analyze the difference between group means.…

Q: When do you use the t-statistic and what is the advantage over the z-statistic?

A: Conditions for using t statistic: The t statistic is used in the hypothesis testing, for testing the…

Q: Researchers from the Department of Education are always looking for ways to improve methods of…

A: Chi square test is a non parametric test and distribution free test. Chi square test can be used…

Q: How to calculate the standard error for multiple regression in order to get the 95% confidence…

Q: What approach would you use for testing of hypothesis for population correlation coefficient (?).

A: There are two approaches for testing of hypothesis for population correlation coefficient. The…

Q: How is the number of degrees of freedom available for estimating , the variance of ε, related to the…

A: Let n be total number of variables k be number of independent variables

Q: ow that the estimates of the coefficients are unbiased estimates of actual values. Explain the…

A: (a) An estimate is unbiased if the average of the values of the estimates determined from all…

Q: State a null and alternative hypothesis for a chi-square test. Also, what should we expect ( in…

A: Explain.... State a null and alternative hypothesis for a chi-square test

Q: Explain the concept of Z-Test Multiple Observations Null Hypothesis?

A: Z-test: This is a statistical test which the distribution of test statistic is under the null…

Q: how do i find quartile 1 in a set of data?

A: First quartile: The first quartile is the middle-most observation or median of the lower half of the…

Q: The null hypothesis for an ANOVA can be stated in two different ways. The first is in relation to…

A: Given information: Given data represents the life expectancies for 4 income levels low,…

Q: whats an experimental hypothesis?

A: Hypotheses is the plural form for hypothesis. Hypothesis is a statement about the population…

Q: Identify situations in which it is important to estimate power in relation with null hypothesis?

A: A test of hypothesis consists of 2 hypotheses: the null, H0, and the alternative, H1. Power: The…

Q: Why is it important to understand z-score? Please explain your understanding of z-score.

A: A Z-score, otherwise called a standard score, is an action for how far an information point is above…

Q: Do you know how to construct quartiles?

A: Quartiles: It is a method of dividing the data into four parts, 0% to 25% of 25% of data is the…

Q: What are the steps for a hypothesis test for population mean when the variance is known?

A: Given the variance for hypothesis test for population , To write the steps for the hypothesis test…

Q: Based off of the provided data, need help stating the null and alternative hypotheses, reporting…

A: Based on the data the hypotheses can be formed as : H0 : mean constructive patriotism of male =mean…

Q: How to determine the critical value of a z-test and t-test? And What is the difference between…

A: The critical value which used to determine whether the null hypothesis is need to be rejected or…

Q: True or false and explain why or why not. You are more likely to make Type Il error with a t-test…

A: See below the solution

Q: Why is finding the z-score called standardizing data? Does the Empirical Rule apply to the standard…

A: Given two problems related to standard normal distribution and emperical rule. We have to solve the…

Q: Although the chi-square homogeneity test and the chi-square independence test use essentially the…

Q: Assume a type I error has been committed. Given the weakness of the independent t-test, what is one…

A: Given: Type 1 error is committed. Weakness of the independent t-test has been established.

Q: Explain in details that how do you evaluate if your data are a good fit for the assumptions of those…

A: Hello thankyou for the question. According to our honor code can answer three sub parts at a time.…

Q: What does Cohen’s d measure? What are type I and type II errors and how are they related?

A: The effect size is a quantitative measure which describes the extent of the experiment being…

Q: What is the predicted explanatory value? X =

A: The regression equation is y=-3.546x-4.393.

Q: What is the empirical rule?

A: The word 'empirical' stands for 'based on observations. The 68–95–99.7 rule, also known as the…

Q: What effect does standardizing into z-scores have on the center (mean) of a variable?

A: What is Z-score and standardized variables:Z-score:The Z-score measures a particular value’s…

Q: Explain why the Chi-square test is particularly well-suited to social work research.

Q: Perform a chi-square independence test, provided the conditions for using the test are met.…

A: Chi-square Analysis: For assessing categorical data from a randomly selected sample, the statistical…

Q: Consider the test of hypothesis with the claim that more than 50% of community college students have…

A: Type I Error : Reject H0 when H0 is true.

Q: Why is the empirical rule useful?

A: The empirical rule, which states that nearly all data will fall within three standard deviations of…

Q: UBC coaching center has two branches in Dhaka: one in Dhanmondi (Branch A) and another one in…

A: The branches A and B took the same test and the performance of their students are recorded, a sample…

Q: What is the sensitivity of this test? What is the specificity of this test?

A: In the given table, False positive(FP) = 18 True positive(TP) = 43 False negative(FN) = 0 True…

Q: What is the difference between the goodness of fit and the test of independence in the chi-square…

A: Given data: What is the difference between the goodness of fit and the test of independence in the…

Q: What test should you use to analyze these results, and why? Will you use a one-tailed or a…

A: Given the table for the number of minutes of REM sleep during an 8 hour sleep period. You want to…

Q: Why is it impossible to calculate a negative F value when using an Analysis of Variance to test a…

A: According to the F statistic for ANOVA, MST =Mean square of treatment MSE = Mean square error In…

Q: Why is the Chi- square test applicable to the given scenario?

A: For the given sample data, we will conduct a chi-square test for independence.

Q: When do you use a z-test versus a t-test.

A: z-test: z-test is used when we have large sample size n>30. z-test assumes normal distribution…

Q: What is the equation for tSTAT? What are the hypothesis for an ANOVA test?

A: Take the value you got from subtracting μ from x-bar and divide it by the value you got from…

Question

Explain how the chi-square tests differ from parametric tests (such as t tests or ANOVA) with respect to the hypotheses, the data, and the assumptions underlying the test.

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Similar questions

What is meant by the sample space of an experiment?
What does it mean to say that a test is nonparametric? What are the relative advantages of such tests?
Parametric tests (such as t-tests or ANOVAs) differ from nonparametric tests (such as chi-square) primarily in terms of the assumptions they require and the data they use. Explain these differences.
What is the explanation for the normality test?
Explain in details that how do you evaluate if your data are a good fit for the assumptions of those statistical tests like T test ,Paired t test,one way and two way anova,Chisquare,regression?
A result is significant at the 0.01 level. Explain why it must also be significant at the 0.05 level. Why is it important to report the P-value or the test statistic when presenting the results of a hypothesis test?
For what types of data would you use nonparametric verses parametric statistic?
What statistical test is most appropriate if you want to examine whether there is a difference in graduation rates (percentages) among home schooling, public schools, and private schools where you live? Assume the data does NOT meet the assumptions for a parametric test
Knee injury: The anterior cruciate ligament (ACL) runs diagonally in the middle of the knee. An article in a respected journal reports results for 94 people who had suffered ACL injuries. Of the 94 injuries, 55 were to the left knee and 39 were to the right knee. Can you conclude that the percent of ACL injuries to the left knee differs from 50%? Use the a= 0.01 level of significance. Here are the null and alternative hypotheses. Ho: P = 0.5 H₁:P +0.5 Part: 0 / 2 Part 1 of 2 (a) What is the P-value? Round your answer to four decimal places. The P-value is X
We use the results of our first step to calculate a test-statistic. Why is this important and how does it relate to the concept of z-score, What is a p-value? What role does it play in the rejection of the null hypothesis? What does it mean to reject the null hypothesis? Does that guarantee that the null hypothesis is false?
You suspect that drivers for Uber/Lyft have newer cars than a driver who doesn’t drive for Uber/Lyft. Listed below are the ages of cars that you randomly sampled from the streets of Portland. If one were to conduct a hypothesis test for the difference in mean car age and mean Uber/Lyft car age, the conditions for the test would need to be checked. What conditions should you check? Check the conditions and explain how the conditions are met or not. What is the appropriate test to conduct, an independent samples t test or paired t test? Explain. Uber/Lyft car age 4 0 8 11 14 3 4 4 3 5 8 3 3 7 4 6 6 1 8 2 15 11 4 Non-Uber/Lyft Car age 8 8 0 3 8 4 3 3 6 11 7 7 6 9 5 10 8 4 3 4
IQ tests are approximately normally distributed with a mean of 100 for adults. A tech company CEO wants to conduct a hypothesis test to see if the average IQ of employees at high-tech firms in California is higher than average. What is Type I error in the context of this problem?