1st statement: The number and choice of graphs and tables under results have significant bearing when checking for internal validity. 2nd statement: An exhaustive inclusion and exclusion criteria are listed to ensure subjects with ideal conditions are included in the study, this will however limit the study's applicability. O First statement is false; second statement is true. O Both statements are false. O First statement is true: second statement is false. O Both statements are true.
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- What is meant by the sample space of an experiment?In a sample of 200 men, 75 said they used seat belts. In a sample of 300 women, 68 said they used seat belts. Test the claim that men are more safety conscious than women, at ? = 0.01. Answer all of the following questions and provide steps i. Hypothesis Statements ii. Test Type iii. Conditions iv. Level of Significance v. Critical Value vi. Test Statistic vii. p-value viii. Graph with level of significance, critical value, test statistic and p-value labeled ix. Conclusion with summary x. Possible errorThe manufacturer of a gasoline additive claims that the use of this additive increase gasoline mileage . A random sample of six cars was selected and these cars were driven for one week with the gasoline additive and then for one with the gasoline additive . The following table gives the miles per gallon for these cars without and with the gasoline additive . Using the 2.5 % significance level , can you conclude that the use of the gasoline additive increases the gasoline mileage .
- The article “Valuing Watershed Quality Improvements Using Conjoint Analysis” (S. Farber and B. Griner, Ecological Economics, 2000:63–76) presents the results of a mail survey designed to assess opinions on the value of improvement efforts in an acid-mine degraded watershed in Western Pennsylvania. Of the 510 respondents to the survey, 347 were male. Census data show that 48% of the target population is male. Can you conclude that the survey method employed in this study tends to oversample males? Explain.The city of Atlanta is considering a project that would increase walkability in many high traffic neighborhoods. A news reporter is collecting information on public opinion by talking with pedestrians in these different neighborhoods. __________ bias may result from the method by which the reporter identifies study participants; __________ bias may occur if study participants negatively exaggerate the walking conditionsThe researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 (image included) Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. State the hypotheses to be tested: H0: H1: state the degrees of freedom for this test the p-value for this test, given that the chi-square test statistic, c2, is 11.029. state the conclusion for the test. Give reason for your answer.
- The main purpose of conducting analytical comparisons is to ______. Group of answer choices determine whether any differences are statistically insignificant test research hypotheses determine whether all of the groups are equal to each other prove the null hypothesis is trueIf the sample data are in the critical region with α = 0.01 and Ho is rejected, then one could still reject Ho even if α were changed to 0.05. Is this statement True or False?As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the first population mean is greater than the second population mean. There is not sufficient evidence to warrant rejection of the claim that the first population mean is greater than the second population mean. The sample data support the claim that the first population mean is greater than the second population mean. There is not sufficient sample evidence to support the claim that the first population mean is greater than the second population mean.
- Suppose, when conducting a 2-way ANOVA, you find significant main effects for both of your factors of interest (i.e. gender and educational attainment, categorized as high school graduate or less vs. more than a high school education), but no significant interaction between the 2 factors. Which of the following statements, if any, are reasonable conclusions? Question 22 options: A) Since there is no significant interaction between gender and educational attainment, we can conclude that the outcome does not differ between groups. B) Since there is a significant main effect for gender, then the outcome must be significantly different between males and females. C) Since there is a significant main effect for educational attainment, then the outcome must be significantly different between the 2 educational attainment groups. D) All of the above are reasonable conclusions. E) Answers B and C are reasonable…In a recent survey, it was stated that Americans watch television on average four hours per day. Assume that σ = 2. Using your class as the sample, class of 30 students, conduct a hypothesis test to determine if the average for students at your school is lower. a. determine the test statistics using your data b. draw a graph and label it appropriately. Shade the actual level of significance. c. Determine the p-value. Do you or do you not reject the null hypothesis? Why?A researcher is interested in whether a difference can occur between scores on one of the Maryland Addiction Questionnaire (MAQ) subtest, namely the Motivation for Continued Treatment (MOT) among inmates incarcerated for operating a vehicle Under the Influence(OUI). One group of subjects was assigned to a treatment facility for dealing with drug abuse issues, and the other group of 20 subjects continued in the main jail with no treatment being provided. The scores follow: Treatment group 47, 50, 41, 52, 48, 46, 50, 44, 60, 48, 46, 47, 41, 39, 58, 45, 62, 50, 39, 47 Non treated group 41, 45, 40, 40, 33, 41, 42, 43, 37, 33, 53, 40, 38, 43, 55, 31, 37, 53, 38, 40 Test the research hypothesis that there will be a difference between the two sets of scores (find the t score) Calculate a confidence interval at the .95 level for establishing the true population difference between the groups [find the CI(confidence interval)] Indicate the type of research and, if appropriate, the…