A candy company claims that 10 percent of its candies are blue. A random sample of 200 of these candies is taken, and 16 are found to be blue. Which of the following tests would be most appropriate for establishing whether the candy company needs to change its claim? (A) Matched pairs t-test (B) One-sample proportion z-test (C) Two-sample t-test (D) Two-sample proportion z-test (E) Chi-square test of association

A researcher wanted to test whether there is a relationship between preferred sweet (Oreo cookies, Mars bars, or Twinkies) and age group (children, adolescents, or young adults). To test that, subjects from the three age groups were asked which of the three sweets they preferred. Which statistical test should be used to analyze the data? 1. chi square test of independece  2. chi square test for goodness of fit 3.  one sample t test 4. one way anova test

If Ashley wants to test for GPA differences among first-, second-, third-, and fourth-year college students, which of these difference tests should she use? A. chi-square test of independence B. between-subjects, two-way ANOVA C. between-subjects, one-way ANOVA D. repeated-measures ANOVA

If sample data is such that for a one-tailed test of ? you can reject H0 at the 1% level of significance, can you always reject H0 for a two-tailed test at the same level of significance? Explain your answer?   A. Yes. If H0 for a one-tailed test is rejected at the 1% level of significance, it will always be rejected for a two-tailed test at the same level of significance. B. No. If H0 for a one-tailed test is rejected at the 1% level of significance, it will never be rejected for a two-tailed test at the same level of significance.     C. Yes. The P-value for the two-tailed test could be greater than 0.01. D. No. The P-value for the two-tailed test could be greater than 0.01.

Imagine a researcher asks a sample of five people to drive two types of cars and rate each of them on a scale of 1 to 25. The researcher wants to know: Is there is a difference in the ratings of the two types of cars. Below are the data collected: Type A: 20, 10, 11, 23, 7 Type B: 10, 11, 4, 12, 1 what type of T Test would be appropriate

The accuracy of a census report on a city in southern California was questioned by some government officials. A random sample of 1215 people living in the city was used to check the report, and the results are shown below. Ethnic Origin Census Percent Sample Result Black 10%         126         Asian 3%         31         Anglo 38%         463         Latino/Latina 41%         525         Native American 6%         58         All others 2%         12         Using a 1% level of significance, test the claim that the census distribution and the sample distribution agree.

A yearbook company was investigating whether there is a significant difference between two states in the percents of high school students who order yearbooks. From a random sample of 150 students selected from one state, 70 had ordered a yearbook. From a random sample of 100 students selected from the other state, 65 had ordered a yearbook. Which of the following is the most appropriate method for analyzing the results?     A one-sample zz-test for a sample proportion A A one-sample zz-test for a population proportion B A two-sample zz-test for a difference in sample proportions C A two-sample zz-test for a difference in population proportions D A two-sample zz-test for a population proportion

In Problems 9-12, conduct each test at the a= 0.05 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, (c) the critical value, and (d) the P-value. Assume that the samples were obtained independently using simple random sampling.

A De Anza student decided to determine whether the percent of men who participate in sports at De Anza College is higher than the percent of women who participate in sports at De Anza College. Out of 67 women, 12 said they participate in sports. 13 of the 45 men surveyed said they participate in sports. a. ) What are the type I and type II errors? Explain them in the context of this problem.b. ) Describe the sample statistics in words. What is the distribution of the sample statistic? Explain why you used this distribution.Can someone please help me make sense of these questions?

Sharon is interested in testing the differences between student populations at two different universities. If she randomly selects students from both universities, she is examining _____ sample(s). a. confounded   b. independent   c. single   d. dependent