Refer to the real estate data located in the Resources folder of Blackboard or in the text. Compute the probability that a home in Township 3 has a pool. Then compute the probability that a home is in Township 3 and has a pool (compare to all homes in the sample). Statistical tools may be used to compute these probabilities through creating a table of the data. (SPSS: Analyze – Descriptive Stat – Crosstab, Row = Pool and Column = Township). (Minitab: File – Open Worksheet – Select the Real Estate Excel data file – Stat – Tables – Descriptive Statistics, Row = Pool and Column = Township).Explain how these probabilities would help a realtor to serve his or her clients better.Today, we live in a world where probabilities are quoted all the time from stormy weather to car safety and movie ratings. Select a probability that you rely on all the time and identify two probability concepts covered in this week's reading assignment. Identify whether your reliance on this probability can lead you to reevaluate reliance. 250-300 words in APA format.

1.The world’s smallest mammal is the bumblebee bat, also known as the Kitti’s hog nosed bat. Such bats are roughly the size of a large bumblebee! Listed below are weights (in grams) from a sample of these bats. Test the claim that these bats come from the same population having a mean weight equal to 1.8 g. Perform a complete analysis: The six step hypothesis test with a conclusion that includes a statistical conclusion, a confidence interval and a scope of inference (as best as can be done with the information above … I could see many correct answers with the vagueness of the description of the sampling mechanism.)Sample: 1.7 1.6 1.5 2.0 2.3 1.6 1.6 1.8 1.5 1.7 2.2 1.4 1.6 1.6 1.6 2.In the United States, it is illegal to discriminate against people based on various attributes. One example is age. An active lawsuit, filed August 30, 2011, in the Las Angeles District Office is a case against the American Samoa Government for systematic age discrimination by preferentially firing older workers. Though the data and details are currently sealed, let’s suppose that a random sample of the ages of fired and not fired people in the American Samoa Government are listed below:Fired34 37 37 38 41 42 43 44 44 45 45 45 46 48 49 53 53 54 54 55 56Not fired27 33 36 37 38 38 39 42 42 43 43 44 44 44 45 45 45 45 46 46 47 47 48 48 49 49 51 51 52 54a.Perform a permutation test to test the claim that there is age discrimination. Provide the Ho and Ha, the pvalue, and full statistical conclusion including the scope. Note: this was an example in Live Session 1. You may start from scratch or use the sample code and powerpoints from Live Session 1. b.Now run a two sample t-test appropriate for this scientific problem (Note: we may not have talked much about a two-sided versus a one-sided test. If you would like to read the discussion on pg 44 (Statistical Sleuth), you can run a one-sided test if it seems appropriate. Otherwise, just run a two-sided test as in class. There are also example in the Statistics Bridge Course). Be sure to include all six steps, a statistical conclusion and scope of inference.c.Compare this p-value to the randomized p-value found in the previous homework.d.The jury wants to see a range of plausible values for the difference in means between the fired and not fired groups. Provide them with a confidence interval for the difference of means and an interpretation.e.Given the sample standard deviations from SAS, calculate by handi.Pooled standard deviation (sp)ii.The standard error of () 3.In the last homework I mentioned I polled my Business Stats class here at SMU and asked them how much money (cash) they had in their pocket at that very moment. The idea was that we wanted to see if there was evidence that those in charge of the vending machines should include the expensive bill / coin acceptor or if it should just have the credit card reader. However, I met a professor from Seattle University last year and asked her to poll her class with the same question. Below are the results of our polls. SMU34, 1200, 23, 50, 60, 50, 0, 0, 30, 89, 0, 300, 400, 20, 10, 0Seattle U20, 10, 5, 0, 30, 50, 0, 100, 110, 0, 40, 10, 3, 0a.Run a two sample t-test to test if the mean amount of pocket cash from students at SMU is different than that of students from Seattle University. Write up a complete analysis: All 6 steps including a statistical conclusion and scope of inference (similar to the one from the powerpoint.) (This should include identifying the Ho and Ha as well as the pvalue.) Also include the appropriate confidence interval.b.Compare the pvalue from this test with the one you found from the permutation test from last week. Provide a short 2 to 3 sentence discussion on your thoughts as to why they are the same or different. 4. a.Calculate the estimate of the pooled standard deviation from the Samoan discrimination problem in question 2 above. Use this estimates to build a power curve. Assume we would like to be able to detect effect sizes between 0.5 and 2 and we would like to calculate the sample size required to have a test that has a power of .8. Simply cut and paste your power curve and SAS code. HINT: Instead of using groupstddevs, use stddev since we are using the pooled estimate. b.Now let’s say that we decided that we may be able to live with slightly less power if it means savings in sample size. Provide the same plot as above but this time calculate curves of sample size (yaxis) vs effect size (.5 to 2) (x axis) for power = 0.8, 0.7 and 0.6. There should be three plots on your final plot. Simply cut and paste your power curve and SAS code. HINT: , use stddev since we are using the pooled estimate. c.Using your last plot, estimate the savings in sample size from a test aimed at detecting an effect size of 0.8 with a power of 80% versus a power of 60%.

Progress CheckUse this activity to assess whether you and your peers can: Articulate the relationship between theoretical and empirical probability.Learn By DoingUse the rubric at the bottom of this page as a guide for completing this assignment.DirectionsSubmit your work:Commit a good-faith effort to address all items in the Prompt section below.Complete your assigned peer reviews:After you submit your initial good-faith attempt, continue to the ANSWER(S) page and review your instructor's response. But please do not submit your corrected work yet.Within three days after the due date, return to this assignment and complete your assigned peer reviews (directions (Links to an external site.)).Submit your corrected work:We all learn from mistakes (our own and our classmates' mistakes). So please do not immediately correct your own mistakes. If possible, wait until you receive feedback from at least one of your peers. If necessary, correct your work and resubmit the entire assignment. Your instructor will only review and grade your most recent submission, so please do not refer to a previous submission.PromptWhich provides a better estimate of the theoretical probability P(H) for the unfair coin: an empirical probability using 30 flips or 1000 flips? Why do you think so?