Choose 1 answer:This is convincing evidence that the distribution of superpower differs between the genders.This isn't enough evidence to say that the distribution of superpower differs between thegenders.This is convincing evidence that superpower and gender are not independent.He lacks evidence to say that superpower and gender are not independent.Gender causes students to prefer certain superpowers. Elliot was curious if there was a relationship between a student's gender and what superpower they'dprefer to have. He obtained data from a random sample of 206 students. Here is a summary of the dataand the results from a chi-square test:Chi-square test: Superpowervs. genderFemaleMaleFly1932Expected27.73 23.27Freeze time1723Expected21.7518.25Invisibility2313Expected19.5716.43Telepathy5326Expected42.9536.05X = 14.759, DF =3, P-value = 0.002%3DAssume that all conditions for inference were met.At the a = 0.05 significance level, what is the most appropriate conclusion to draw from this test?

Name: Choose 1 answer:This is convincing evidence that the distribution of
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: Choose 1 answer:This is convincing evidence that the distribution of superpower differs between the genders.This isn't enough evidence to say that the distribution of superpower differs between thegenders.This is convincing evidence that superpower

To make decisions about hypothesis, we make comparison of p-value and level of significance.

Answered: At the a Y 0.05 significance level,…

Math

Statistics

At the a Y 0.05 significance level, what is the most appropriate conclusion to draw from this test?

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

Similar questions

You wish to test the following claim (H) at a significance level of a = Ho: P1 = P2 Ha: P₁ P2 You obtain a sample from the first population with 122 successes and 438 failures. You obtain a sample from the second population with 63 successes and 304 failures. test statistic = p-value = [three decimal accuracy] 0.001. [four decimal accuracy]
An airline company is interested in improving the customer satisfaction rate from the 74% currently claimed. The company sponsored a survey of 176 customers and found that 139 customers were satisfied. What is the test statistic z? Ex: 2.22 What is the p-value? Ex: 0.123 Does sufficient evidence exist that the customer satisfaction rate is higher than the claim by the company at a significance level of a = 0.01? Ex: yes or no
Using the results obtained for a study on website development below, how would we interpret the results of this hypothesis test? The claim is the percent of customers who abandon a web page due to long load times is different from 34%. The significance level is 0.10. The test statistic is 2.50. Select the correct answer below: Reject H0. There is strong evidence to conclude that the percent of customers who abandon a web page due to long load times is greater than 34%. Reject H0. There is NOT strong evidence to conclude that the percentage of customers who abandon a web page due to long load times is greater than 34%. Fail to reject H0. There is strong evidence to conclude that the percent of customers who abandon a web page due to long load times is greater than 34%. Fail to reject H0. There is NOT strong evidence to conclude that the percentage of customers who abandon a web page due to long load times is greater than 34%.
help
Generally speaking, would you say that most people can be trusted? A random sample of n. 258 people in Chicago ages 18-25 showed that r₁-40 said yes. Another random sample of n₂ = 287 people in Chicago ages 35-45 showed that r₂- 69 said yes. Does this indicate that the population proportion of trusting people in Chicago is higher for the older group? Use a = 0.05. LAUSE SALT (a) What is the level of significance? State the null and alternate hypotheses. O Ho: P₁ P₂i H₂: P₁ P₂ P₂ H₁: Pg P₂ P₂i H₂i Pq
According to a survey conducted by the Association for Dressing and Sauces, 85% of American adults eat salad at least once a week. A nutritionist suspect that the percentage is higher that this. She conducts a survey of 200 American adults an finds that 171 of them eat salad at least once a week. Conduct the appropriate test that addresses the nutritionist's suspicions. Use the a = 0. 1 level of significance. What is the p-value? 0.85 0.855 0.1980 0.4215
A newspaper conducted a statewide survey concerning the 1998 race for state senator. The newspaper took a SRS of n=1300 registered voters and found that 670 would vote for the Republican candidate. Let p represent the proportion of registered voters in the state who would vote for the Republican candidate.We test Ho: p=.5 Ha: p>.5 What is the -statistic for this test? What is the P-value of the test?
In a sample of 367 students, 132 said that they enjoy science. Using a significance level of a = 0.03, determine the test statistic and p-value when testing the claim that less than 35% of students enjoy science. Round the test statistic to two decimal places and the p-value to four decimal places. The test statistic is The p-value is
The mean age of bus drivers in chicago is 56.7 years. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?
The summary statistics are n=85, x=3.93, s=0.63. Use a 0.01 significance level to test the claim that the population of student course evaluations has a mean equal to 4.00. identify null/ alt hypothesis, test statistic, P- value, and state final conclusion that addresses the original claim
You wish to test the following claim (Ha) at a significance level of a = 0.002. Ho: P₁ P2 Ha P₁ P2 : You obtain a sample from the first population with 523 successes and 107 failures. You obtain a sample from the second population with 268 successes and 40 failures. test statistic = p-value [three decimal accuracy] [four decimal accuracy]
When conducting a significance test in practice, how should you choose the alpha level? a) Always use alpha=0.05 since it's the most appropriate for every situation. b) Always use alpha=0.05 since it's the most commonly used one. c) Use a larger alpha when the consequences of mistakenly rejecting the null hypothesis are more serious. d) Use a smaller alpha when the consequences of mistakenly rejecting the null hypothesis are more serious.