FSE 200 Online Assignment 7b 36 Points (18 points per question) PLEASE NOTE THERE ARE TWO QUESTION Name: Directions: Data for the test scores for two seperate group's scores on the IFSAC Firefighter I examination are found below. The first group attended State Fire Academy for their training and the second group attended an in house academy. The groups are only tested once - after they have received the training. All participants have no prior experience in the fire service. Answer the following questions utlizing this information. You may use the Analysis Toolpak or conduct the analysis by hand; please show all work in this worksheet. State Fire Academy In-house Academy 99 55 89 72 80 83 91 55 79 69 61 80 54 65 54 69 52 84 66 87 50 91 72 61 64 96 89 77 53 73 83 66 100 99 Find the following values (3 points): Mean 72.71 75.41 Variance 299.47 178.13 Count 17 17 Which t-test should you use (2 Points)? t-Test: Two-Sample Assuming Equal Variances What is the null hypothesis (2 Points)? The population means for group 1 and group 2 are equal. H: Group 1 = Group 2 The population means for group 1 and group 2 are equal. H: Group 1 = Group 2 What is the research hypothesis (2 Points)? There will be a difference on direction or the other between group 1 and group 2. How many degrees of freedom does this analysis have (2 Points)? 32 What is the t-statistic (2 Points)? -0.511 What is the p-value (2 Points)? 0.613 What is your final conclusion about the analysis (3 Points)? Since the t-value -0.511 is less than the critical value 2.037, we must accept the null hypothesis. Since the p value 0.613 is larger alpha 0.05 we must accept the null hypothesis RE ARE TWO QUESTIONS TO THIS ASSIGNMENT.... t-Test: Two-Sample Assuming Equal Variances Mean Variance Observations Pooled Variance Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail State Fire Academy 72.7058823529 299.4705882353 17 238.8014705882 0 32 -0.5105048527 0.3066008222 1.6938887484 0.6132016444 2.0369333435 Directions: You are the Safety Supervisor at a large manufacturingfaicility. Recently, due to budget issues, your superior has suggested you do away with in service training since it is a drain on the overtime budget. You need to prove the effectiveness of your training to make sure that it isn't cut. So... You decide to administer a pretest and a posttest. The following data represent your results. Answer the questions and make a case as to why your training should be continued in your conclusions. Be detailed. Your job depends on it. You may use the Analysis Toolpak or conduct the analysis by hand; please show all work in this worksheet. Pretest Posttest 90 95 35 93 88 100 11 46 98 53 58 81 90 60 60 65 78 92 9 66 96 57 27 46 2 54 33 88 3 93 52 90 63 91 Find the following values (3 points): Mean 52.53 74.71 Variance 1177.14 373.97 Count 17 17 Which t-test should you use (2 Points)? t-Test: Two-Sample Assuming Equal Variances What is the null hypothesis (2 Points)? The null hypothesis is that their is no difference between the means of pretest and posttest. What is the research hypothesis (2 Points)? The research hypotesis is one-tailed and directional because it poists that the posttest scores will be higher than the pretest scores. How many degrees of freedom does this analysis have (2 Points)? 32 What is the t-statistic (2 Points)? -2.322 What is the p-value (2 Points)? 0.027 What is your final conclusion about the analysis (3 Points)? Since the t-value -2.322 is smaller than the critical value 2.037, we must accept the null hypothesis. Since the p value 0.027 is smaller than alpha 0.05 we must reject the null hypothesis. ntly, due to budget issues, your superior has suggested e budget. You need to prove the effectiveness of your a pretest and a posttest. The following data represent raining should be continued in your conclusions. Be r conduct the analysis by hand; please show all work in t-Test: Two-Sample Assuming Equal Variances Mean Variance Observations Pooled Variance Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Pretest Posttest 52.5294117647 74.70588 1177.1397058824 373.9706 17 17 775.5551470588 0 32 -2.3216435911 0.0133881831 1.6938887484 0.0267763662 2.0369333435 Alph Level 0.05 0.05 we must accept ect the null