Question 13A hypothesis test was conducted to see whether there is an association between a person's income level and his or her education level. A random sample of 225 people was selected, and theappropriate hypothesis test was conducted. The chi-square test statistic and corresponding p-value were approximately 13.36 and 0.01, respectively. Which of the following is the correctinterpretation of the p-value in the context of the test?AAssuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or greater.ВAssuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or greater.Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller.Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller.EAssuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of exactly 13.36.

Under chi-square test for association, the following hypothesis are formed: H0: There exists no…

A hypothesis test was conducted to see whether there is an association between a person's income level and his or her education level. A random sample of 225 people was selected, and the appropriate hypothesis test was conducted. The chi-square test statistic and corresponding p-value were approximately 13.36 and 0.01, respectively. Which of the following is the correct interpretation of the p-value in the context of the test? A Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. B Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. D Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of exactly 13.36.

A hypothesis test was conducted to see whether there is an association between a person's income level and his or her education level. A random sample of 225 people was selected, and the appropriate hypothesis test was conducted. The chi-square test statistic and corresponding p-value were approximately 13.36 and 0.01, respectively. Which of the following is the correct interpretation of the p-value in the context of the test? A Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. B Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. D Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of exactly 13.36.

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

In a population of 150 pea plants, there are 89 tall-purple plants, 25 short-purple plants, 28 tall-white plants, and 8 short-white plants. In order to test if the two traits are experiencing independent assortment researchers would perform a chi squared test. What is your calculated Chi Squared statistic? What is the corresponding P value?
Perform the following hypothesis test of a proportion: HO: p = 0.125 HA: p 0.125 The sample proportion is 0.1 based on a sample size of 95. Use a 10% significance level. What is the p-value?
Classify the hypothesis test as two-tailed, left-tailed, or right-tailed. At one school, the average amount of time that tenth-graders spend watching television each week is 20.1 hours. The principal introduces a campaign to encourage the students to watch less television. One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased from the previous mean of 20.1 hours.
How would you find (a.) and (b.)?? As well as finding the test statistic and p-value?
A medical school claims that more than 28% of its students plan to go into general practice. It is found that among a random sample of 130 of the school's students, 39% of them plan to go into general practice. You wish to conduct a significance test to evaluate the school's claim.
An article compared five different methods for teaching descriptive statistics. The five methods were traditional lecture and discussion, programmed textbook instruction, programmed text with lectures computer instruction, and computer instruction with lectures. 60 students were randomly assigned, 12 to each method. After completing the course, students took a 1-hour exam. We are interested in finding out if the average test scores are different for the different teaching methods. The p-value of the test is 0.0372. What is the conclusion of the test if the level of significance is αα=0.10? There is enough evidence to conclude that all five group means are significantly different from each other. There is not enough evidence to conclude that all five group means are sigificantly different from one another. There is enough evidence to conclude that at least one group mean is significantly different from others. There is not enough evidence to conclude that at least one…
In 1970, 590 students among 1000 randomly selected college freshmen thought that capital punishment should be abolished. In 2005, 350 students among 1000 randomly selected college freshmen thought that capital punishment should be abolished. What is the two-sample z test statistic for evaluating the null hypothesis that the percentage of students who support capital punishment did not change from 1970 to 2005? Round your answer to two decimal places.
A professor wanted to determine if the GPAS of students at Saddleback College are less consistent than the GPAS of students at Irvine Valley College. To test this, he obtains random samples of students from both colleges and records their GPAS, which are given below. Test the professor's claim at the a=0.05 level of significance. Saddleback College Irvine Valley College 3.7 3.2 3.0 2.5 2.7 3.6 4.0 3.4 3.8 3.2 3.0 2.5 3.6 2.8 2.6 2.5 2.1 2.7 3.9 3.4 2.0 2.2 2.7 3.1 2.0 2.0 2.1 3.8 3.1 2.9 3.2 2.8 Calculator Function [ Select] [ Select] 2-PropZTest ANOVA X^2-Test T-Test 2-SampTTest 2-SampFTest [ Select] v sufficient evidence that the standard deviation of grades for Saddleback College students is [ Select] than the standard deviation for Irvine Valley College students.
The National Study of the Changing Work Force conducted a study of 2958 wage and salaried workers on issuesranging from relationships with their bosses to household chores. The data were gathered through hour-longtelephone interview with a nationally representive sample. In response to the questions “What does your job meanto you?” 1538 people responded that they “Receive personal satisfaction from success at work.” Let p be thepopulation proportion of people who receive personal satisfaction from success at work. (a) Find a 95% CI for the true value of p. (b) How large of sample is needed if we wish to be 99% confident that the sample proportion of p is within1% of the true population proportion.
Q2) Paired-Samples t Test A research project has been tracking the health and cognitive functions of the elderly population in Arizona. The table below shows the memory test scores from some elderly residents, tested first when they were 65 years old and again when they were 75 years old. The researcher wants to know if there is a significant decline in memory functions from age 65 to age 75 based on this sample. In other words, it is hypothesized that the memory score at age 75 is significantly lower than the memory score at age 65. So the null and alternative hypotheses should be directional. The alpha level was set at a = .05 for a one-tailed hypothesis test. Memory score Subject 1 2 3 4 5 6 7 8 9 10 Age 65 62 95 55 90 98 73 73 71 82 66 Age 75 65 88 56 89 90 75 70 70 80 62
Previous research showed that 15% percent of teenagers between the ages of 13 and 17 smoke. A study was conducted to examine the current proportion of US teenagers between the ages of 13 and 17 who smoke. A survey asked a random sample of 785 teenagers between the ages of 13 to 17 if they smoke. 71 of the surveyed teenagers responded that they smoke. The information above is for the question below.
Look at the following APA sentence summaries for a One-Sample t-test. Which APA sentence could be accurately described as showing a One-Sample-test that had a sample size of 41, failed to reject the null and had a medium-sized treatment effect? A. t(40)=3.55, p>.01, d=0.52 B. t(39)=3.55, p<.05, d=1.52 C. t(40)=2.37, p<.05, d=0.12 D. t(39)=3.55, p<.01, d=0.52