Using The MM2007 Student Data Set

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After completing and saving the project, submit your project in the Final Drop Box. In the course, go to Unit 9 - Instructor Graded Project - StatCrunch to access the MM207 Student Data Set. When the page loads you will need to click on Data Set on the left side of the page. You do not need a StatCrunch ID or a password to access the data set simply click the on Data Set to load the data file. Name 1. Using the MM207 Student Data Set What is the correlation between student cumulative GPA and How many credit hours are you taking this term Be sure to include the computations or StatCrunch output to support your answer. Correlation between Q10 What is your cumulative Grade Point Average at Kaplan University and Q6 How many credit hours are you taking this term is-0.017008723 Is the correlation what you expected No, because depending on the amount of credit hours you are taking this term your Grade Point Average (GPA) should be higher. Does How many credit hours are you taking this term have a causal relationship with the GPA Yes, there is definitely a casual relationship between the credit hours that are taking this term and the Grade Point Average (GPA). Looking at the scatter plot below you are able to see the casual relationship between them. What would be the predicted GPA for a student who takes 10 credit hour this term Be sure to include the computations or StatCrunch output to support your prediction. 10.934299 - 0.062674466 x 10 10.934299-0.62674466 10.30755434 Grade Point Average (GPA) Simple linear regression results Dependent Variable Q6 How many credit hours are you taking this term Independent Variable Q10 What is your cumulative Grade Point Average at Kaplan University Q6 How many credit hours are you taking this term 10.934299 - 0.062674466 Q10 What is your cumulative Grade Point Average at Kaplan University Sample size 171 R (correlation coefficient) -0.017008723 R-sq 0.00028929665 Estimate of error standard deviation 2.8248358 Parameter estimates Parameter Estimate Std. Err. Alternative DF T-Stat P-Value Total 170 1348.9591 Incorrect (flip your independent and dependent variables), -1 point 2. Using the MM207 Student Data Set Select a continuous variable that you suspect would not follow a normal distribution. Age Create a graph for the variable you have selected to show its distribution. Explain why these data might not be normally distributed. This data is not normally distributed because people of all ages attend college. Select a second continuous variable that you believe would approximate a normal distribution Height Create a graph to show its distribution. Explain why these data might be normally distributed. This data is normally distributed because people are different heights and this forms a bell shaped curve. . 3. Jonathan is a 37 year old male student and Mary is a 42 year old female student thinking about taking this class. Based on their relative position, which student would be farther away from the average age of their gender group based on this sample of MM207 students Jonathan Incorrect, -5 points Summary statistics for Q2 How old are youGroup by Gender GendernMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3Female13837.746377104.015510.1987990.86817941374421653046Male3538.8160.2823512.6602672.1399757353824622851 4. If you were to randomly select a student from the set of students who have completed the survey, what is the probability that you would select a female Explain your answer. 35 males 138 females 2 students didnt put their gender 175 students Probability 35 males / 175 total students 35 / 175 0.2 To make 0.2 into a percent we have to multiply by 100. 0.2 x 100 20 Incorrect, -7 points 5. Using the sample of MM207 students What is the probability of randomly selecting a person who is male GIVEN that he is conservative (In other words from the folks who are conservative, selecting someone who is male) Conservative 40 conservatives and 175 students