STAT 200 Week 6, Verified Answers Well Explained, Already Graded A+

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Many high school students take the AP tests in different subject areas. In 2007, of the 144,796 students who took the biology exam 84,199 of them were female. In that same year, of the 211,693 stude... nts who took the calculus AB exam 102,598 of them were female ("AP exam scores," 2013). Estimate the difference in the proportion of female students taking the biology exam and female students taking the calculus AB exam using a 90% confidence level. Given that n1=144796,n2=211693 90% confidence interval for difference in p1-p2 =(0.5815-0.4847)+/-1.645*sqrt((0.5815*(1-0.5815)/144796)+(0.4847*(1- 0.4847)/211693)) =0.0968+/-0.0028 =(0.0941, 0.0996) 9.1.5 Are there more children diagnosed with Autism Spectrum Disorder (ASD) in states that have larger urban areas over states that are mostly rural? In the state of Pennsylvania, a fairly urban state, there are 245 eight year olds diagnosed with ASD out of 18,440 eight year olds evaluated. In the state of Utah, a fairly rural state, there are 45 eight year olds diagnosed with ASD out of 2,123 eight year olds evaluated ("Autism and developmental," 2008). Is there enough evidence to show that the proportion of children diagnosed with ASD in Pennsylvania is more than the proportion in Utah? Test at the 1% level. Research Question: Is there enough evidence to show that the proportion of children diagnosed with ASD in Pennsylvania is more than the proportion in Utah? Let p1 = Proportion of children diagnosed with ASD in Pennsylvania p2 = Proportion of children diagnosed with ASD in Utah Null hypothesis: H0: There is no significant difference between the proportion of children diagnosed with ASD between Pennsylvania and Utah, p1 = p2 Alternative hypothesis: H1: The proportion of children diagnosed with ASD in Pennsylvania is more than the porportion of children diagnosed with ASD in Utah, p1 > p2 Level of significance: Critical Region: Since, the alternative hypothesis is testing on the one-side(researcher is interseted if proportion in one group is more than the other) the hypothesis is tested at one tail. Therefore, form the standard normal table for 1% level of significance the Z-value is given as 2.33. Therefore, the null hypothesis will be rejected if the Z-test statistic is more than 2.33 Test statistic: Where p1 = Proportion of children diagnosed with ASD in Pennsylvania = 245/18440 = 0.0133 p2 = Proportion of children diagnosed with ASD in Utah = 45/2123 = 0.0212 n1 = Number of children in Pennsylvania = 18440 n2 = Number of children in Utah = 2123 x1 = Number of Children diagnosed with ASD in Pennsylvania = 245 x2 = Number of Children diagnosed with ASD in Utah = 45 Therefore, Inference: Since the calculated Z-test staitistic value of -2.9259 is lesser than the Z-critical value of 2.33, we will not reject the null hypothesis. Conclusion: There is no enough evidence to show that the proportion of children diagnosed with ASD in Pennsylvania is more than the proportion in Utah. 9.2.3 All Fresh Seafood is a wholesale fish company based on the east coast of the U.S. Catalina Offshore Products is a wholesale fish company based on the west coast of the U.S. Table #9.2.5 contains prices from both companies for specific fish types ("Seafood online," 2013) ("Buy sushi grade," 2013). Do the data provide enough evidence to show that a west coast fish wholesaler is more expensive than an east coast wholesaler? Test at the 5% level. Here, we use two sample t test to compare means. Let x = all fresh seafood prices & y = Catalina offshore products prices. For comparing two means, the basic null hypothesis is that the means are equal, �0: �1 = �2 (i.e. the prices of both wholeseller are same) with the common alternative hypotheses, �1: �1 ≠ �2 (i.e. the prices of both wholeseller are not same) Significance Level: = 0.05 α Degrees of freedom equal df = n1 + n2 −2 here n1 = n2 = 9, so df = 16 The test statistic is: where & and From the [Show More]

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