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- oli.cmu.edu/course/a2/rest/assessement/deliver?attempt=1&context=7e118d530a0001dc243d5eafc726f6eb Countdown: Days:-0 Time:-12:02:41 10 points Researchers created a new fertilizer. They conducted an experiment to compare the new fertilizer to the old fertilizer. They divided tomato plants into two groups. They applied the new fertilizer to one group and the old fertilizer to another group. The variable is the number of tomatoes per plant on a randomly selected day. 0 0 Old Fertilizer N=65 2 4 New Fertilizer N=58 4 6 6 20 600 8 8 10 10 12 14 16 12 14 Number of tomatoes per plant 18 16 18 20 20 Select one answer. Which one of the following statements is valid? A. O The new formula of fertilizer works better. Plants with the new fertilizer had more tomatoes. B. O The old formula of fertilizer was better because the plant with the most tomatoes was treated with the old fertilizer. The average number of tomatoes per plant with the old fertilizer is higher than the average amount of tomatoes…A new screening test for thyroid cancer was administered to 1,000 adult volunteers at a large medical center complex in Europe. The results showed that 152 out of 160 diagnosed cases of thyroid cancer were correctly identified by the screening test. Also, of the 840 individuals without thyroid cancer, the screening test correctly identified 714. Base on this information, calculate the test's: 1. Sensitivity 2. Specificity 3. Positive predictive value 4. Negative Predictive Value 5. Accuracy 6. Prevalence rate. Please help with 4,5,6. I have attached 1,2,3.What are quantitative data measurements? A. Measurements that are appropriate for any type of variable B. Measurements of categorical variables and can be displayed as types or descriptions C. Measurements that are appropriate in all experiments D. Measurements of numerical variables and are displayed as numerical values
- 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.A longitudinal study was conducted to investigate if a 3 week "Green" program can change people's attitude's towards recycling. Participants were randomly allocated into two groups: (1) those who received the Green program and (2) those who did not receive the Green program. Each participant completed a survey (measured on a metric scale) which measured their attitudes towards recycling at the end of each week of the study. It was hypothesised that those in the Green program would have more positive attitudes towards recycling compared to those in the non Green group. It was also hypothesised that this difference would be largest at the end of week 3 of the study. Which of the following would be an appropriate statistical test to conduct, which addresses these hypotheses? Group of answer choices: Within subjects ANOVA Mixed ANOVA Single factor ANOVA Factorial ANOVA Multiple RegressionThe local labor market for the XYZ Company is 75% white. The HR Manager for the XYZ Company wants to see whether her company is significantly more or less white than the local labor market. What statistical test should she use to analyze the data? a. Factorial ANOVA b. Chi Square Goodness of Fit Test c. Repeated Measures ANOVA d. Independent Samples t-test e. One sample t-test
- Two different analytical tests can be used to determine the impurity level in steel alloys. Eight specimens are tested using both procedures, and the results are shown in the following tabulation. Specimen 1 2 234 3 4 1.5 1.3 1.7 2.0 1.8 2.1 1.4 1.7 1.3 1.6 (a) Is a paired t-test appropriate for testing whether the means from the two tests are the same? Explain. (b) Is there sufficient evidence to conclude that tests differ in the mean impurity level, using a = 0.05? (c) Is there evidence to support the claim that test 1 generates a mean difference of 0.1 units lower than test 2? Use a = 0.01. Test 1 1.2 1.3 1.5 1.4 5 6 7 8 Test 2 1.4 1.7What are the findings of the study?C my.citruscollege.edu Test #2 (Ch P and Ch 3) O NWP Assessment Player UI App x b My Questions | bartleby + A assessment.education.wiley.com/was/ui/v2/assessment-player/index.html?launchld=9e31ddd2-7c41-432e-9d08-a883e4264522#/question/6 G George H.W. Bush.. C Stock Market Perfor. C my.citruscollege.edu G Google O PMP: Home : Child Growth and D. E Long Division Calc. I Other bookmarks E Reading list >> E Test #2 (Ch P and Ch 3) Ở 02:08 : 28 Question 7 of 12 > - /3 Information about a sample is given. Assume that the sampling distribution is symmetric and bell-shaped. P = 0.34 and the standard error is 0.10. (a) Indicate the parameter being estimated. : = :: :: l2 : Pi : P2 :: p :: * :: I1 : T2 :: p :: P :: p2 The parameter of interest is! O v 0 5:11 I!!
- In which of these research designs would you only control who gets an intervention and who does not? Experimental Cross-sectional Quasi-experimental Case-ControlTo determine if there is a relationship between grade performance and extracurricular participation, North Carolina State conducted a study of 112 students, recording the number of students in each of three extracurricular categories and each of two grade categories. Here are the results: Low extra-curricular participation Moderate extra-curricular participation High extra-curricular participation Good grades 11 68 3 Poor grades 2 23 A. The conditions that allow us to safely use the chi-squared procedure are met. 5 Source: Felder, et al., "A Study of Student Performance in an Introductory Chemical Engineering Course," 1992 ASEE Annual Conference Proceedings, pp. 1516-1519. The expected count of students with high extracurricular participation and good grades is the number of students that you would expect to see assuming that which of the following is correct? Check all that apply. B. Extracurricular participation and grade performance are related. C. Extracurricular participation and…A research company is doing research on the number of Americans who have had COVID-19. They need to obtain a sample to estimate the population proportion of people who have had COVID-19. Based on a previous study at Stanford University, they believe the population proportion is approximately 13%. You would like to be 95% confident that your estimate is within 3.5% of the true population proportion. How large of a sample size is required?