Two separate samples of subjects provide the following set of data. Is there a significant difference between the samples? Go through the steps of nypothesis testing using a two-tailed test and alpha = .05. X1 ("Control") X2 (“Treated") nį = 10 n2 = 15 %3D M1 = 3.5 M2 = 2.5 SS1 = 12.5 SS2 = 15.1
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- A study was conducted of 90 adult male patients following a new treatment for congestive heart failure. One of the variables measured on the patients was the increase in exercise capacity (in minutes) over a 4-week treatment The previous treatment regime had produced an average increase of μ = 2 minutes. The researchers wanted to evaluate whether the new treatment had increased the value of μ in comparison to the previous treatment. The sample data yielded ?̅ = 2.17 and ? = 1.05: Using α = 05, what conclusions can you draw about the research hypothesis?I have asked this question twice and both times it has been wrong The corrosive effects of various soils on coated and uncoated steel pipe was tested by using a dependent sampling plan. The data collected are summarized below, where d is the amount of corrosion on the coated portion subtracted from the amount of corrosion on the uncoated portion. Does this random sample provide sufficient reason to conclude that the coating is beneficial? Use ? = 0.01 and assume normality. n = 44, Σd = 224, Σd2 = 6268(a) Find t. (Give your answer correct to two decimal places.)The following data were obtained from a repeated-measures study comparing three treatment conditions. Use a repeated-measures ANOVA with alpha = .05 to determine whether there are significant mean differences among the three treatments.
- The following data were collected from a Repeated-Measures study. Perform an ANOVA. Use Instructions: Use the data collected to compute the values listed in Table#1. data @.05 person Trial 1 Table #1 1. 2. 3. 4. 6. 7. 8. 9. 10. 11 12. A B C D E Df between Df within SS total SS between subjects SS error Df between subjects Df error 0 1 0 MS error 4 HSD APA summary 0 F ratio (computed) Trial 2 0 3 1 F (critical) as reported on F ratio table 5 1 Trial 3 6 6 6 8 4make it so i could copy and paste itIn a study to determine the impact of a pain management therapy in persons with chronic pain, 20 individuals experiencing chronic pain were randomly selected. Ten of these individuals were assigned to receive pain management therapy and the other 10 to receive no therapy. Descriptive statistics for each group are provided below. Alpha is set at .05 The dependent variable is the experience of chronic pain. (1 pts. each) Mean sample 1 = 62, n = 10, standard deviation 1 = 9.7Mean sample 2 = 53, n = 10, standard deviation 2 = 6.4 Standard error of the difference = 3.675 a) What type of test should you use (determine if a direction is predicted, and if the samples are independent or related to answer the question)? b) What are your degrees of freedom? c) What is the appropriate t-critical? d) Conduct the appropriate t-test - determine what is t-obtained and compare it with t-critical for the test (look carefully at the information already given to you to avoid doing calculation you…
- A paint company has large outlet stores in two cities. Ten samples of the weekly sales (in tons) for the two cities are as follows. City A: n = 10, X10 = 148.5, S1 = = 4.3. City B: n = 10, Y 10 = 144.2, S2 = 3.8. At a = 0.05 level of significance, test if the weekly sales are different. The following ¨answers" have been proposed. (a) The null hypothesis is that the weekly sales are the same and the alternative is that the they are not the same. By using an F test, we reject the null hypothesis. (b) The null hypothesis is that the weekly sales are the same and the alternative is that the they are not the same. By using an F test, we do not reject the null hypothesis. (c) The null hypothesis is that the weekly sales are the same and the alternative is that the they are not the same. By using a i test, we do not reject the null hypothesis. (d) The null hypothesis is that the weekly sales are the same and the alternative is that the they are not the same. By using a i test, we reject the…How many subjects participated in an independent-samples t-test if a researcher reports,t (20) = 3.68, alpha = .05, two-tail?An investigation was carried out to study possible consequences of the high incidence of head injuries among soccer players. Three groups of college students (soccer athletes, nonsoccer athletes, and a control group consisting of students who did not participate in intercollegiate sports) were considered in the study. The following table gives information on scores from the Hopkins Verbal Learning Test (which measures immediate memory recall). In addition X = 30.1140. Sample size Sample mean score Sample standard deviation Soccer Athletes 87 30.90 3.93 Nonsoccer Athletes 96 29.94 5.34 Control 52 29.12 3.58 Suppose that it is reasonable to regard these three samples as random samples from the three student populations of interest. Is there sufficient evidence to conclude that the means for Hopkins score are not the same for the three student populations? Use α = 0.05. (Round your answer to two decimal places.) F = Use technology to find the P-value. (Round your answer to four decimal…
- Suppose the National Transportation Safety Board (NTSB) wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of three for each of the treatments (cars types). Using the hypothetical data provided below, test whether the mean pressure applied to the driver’s head during a crash test is equal for each types of car. Use α = .05. Use a post hoc test to determine which pairs of mean are significantly different. Explain in what way are they different. Car: Compact Midsize Full-size 1 643 469 484 2 655 427 456 3 702 525 402 M 666.67 473.67 447.33 s 31.18 49.17 41.68 SS 1944.39 4835. 38 3474.45 Source SS df MS F Between 86049.556 2 43024.778 25.1749 Within 10254.22 6 1709.0367 Total 96303.776 8Range anxiety is one of the reasons consumers are reluctant to switch to an electric vehicle, and battery degradation adds to this anxiety. That is, the battery's charge capacity decreases with an increase in charge cycles. Tesla claims that its batteries typically suffer a 10% degradation after 100,000 miles of use. Attached to the link below is the sample data of 61 different car capacities after reaching 100,000 miles of use. Use the data to test the claim with an of 1%. Conclude your analysis to telling us what the test says about the claim. Hypothesis testing is an enormously practical way of objectively testing a claim with evidence from the real world if you follow good data sampling and collecting practices. In this exercise, you will only practice the first step in the process. That is, choose or state a claim that you would be interested in testing to see if it is true. Each member should choose a claim they would like to test, and decide if it can be phrased as…A simple random sample of size n=200 drivers with a valid driver's license is asked if they drive an American-made automobile. Of the 200 drivers surveyed, 106 responded that they drive an American-made automobile. Determine if a majority of those with a valid driver's license drive an American-made automobile at the a=0.05 level of significance. What type of variable is "drive an American-made automobile, or not"? OA. Qualitative with more than two possible outcomes OB. Discrete OC. Continuous OD. Qualitative with two possible outcomes