A research study in a big metropolitan area shows that 2% of individuals living within the city limits move to suburbs during one-year period while 1% of individuals living in the suburbs move to the city during a one-year period. 1. Define the approach that should be used to solve the problem and identify all your inputs of the model 2. Assume that a person is now living in the city, what is the probability that the person will move the the suburb after two year? Use a tree diagram to answer the question. 3. Assume that a person is now living in the suburbs, what is the probability that the person will stay there next year?

Assume the below life table was constructed from following individuals who were diagnosed with a slow-progressing form of prostate cancer and decided not to receive treatment of any form. Calculate the survival probability at year 2 using the Kaplan-Meir approach and interpret the results.   Time in Years Number at Risk, Nt Number of Deaths, Dt Number Censored, Ct Survival Probability 0 20     1 1 20 3     2 17   1   3 16 2 1

A sleep researcher is assessing the impact of melatonin supplements on time to fall asleep for individuals with insomnia. She recruited 30 participants with insomnia and assigned 14 of them to take melatonin before sleeping. The researcher then recorded time to fall asleep (in minutes) for each participant. The researcher's hypothesis was that participants in the melatonin group would fall asleep faster than participants in the control group. The data collected are displayed below together with some descriptive statistics. Melatonin- 72, 59, 76, 64, 40, 51, 39, 69, 69, 78, 66, 100, 43, 45,59,64,51 M = 62.21 SD = 17.33 Control- 52, 80, 113, 111, 103, 96, 64, 56, 112, 102, 100, 102, 101, 58, 117, 101,80,111,96,56,102 M = 91.75 SD = 22.16 a) Does the researcher have enough evidence to reject the null hypothesis at an alpha level of .01? Follow the steps involved in hypothesis testing and make a decision regarding the null hypothesis based on the comparison between the critical value and…

A clinician interested in agoraphobia (fear of public places) tests a new treatment method. She samples five agoraphobics from her clinic and has them report how many times they ventured out of their houses (on their own) in the past month. They then received relaxation training and were introduced to trips away from their homes at gradually increasing durations. After 2 months, subjects again reported how many times they ventured (on their own) out of their houses. The data are below. Assess whether there is a significant change in trips outside the home from before to after therapy. a. Report and interpret an effect size b. what type of error might you be making?

A firm that operates a​ large, direct-to-consumer sales force would like to implement a system to monitor the progress of new agents. A key task for agents is to open new​ accounts; an account is a new customer to the business. To build such a​ system, the firm has been monitoring sales of new agents over the past 2 years. The response of interest is the profit to the firm​ (in dollars) of contracts sold by agents over their first year. Among the possible predictors of this performance is the number of new accounts developed by the agent during the first 3 months of work.

en 000 Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. Complete parts (a) through (e) below. E Click the icon to view the data on program per-year tuition and mean starting salary. a. Construct a scatter plot. Choose the correct graph below. OA. O B. В. OC. OD. O D. Q 80,000- 80,000- TOLL 200,000- 200,000- 0- 0+ 04 200,000 Starting Salary (S) 80,000 200,000 Starting Salary (S) 80,000 Tuition ($) Tuition ($) b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients…

Based on predictive modeling, this upcoming Winter is going to have very unpredictable weather. The National Weather service is considering abolishing specific long-term forecasts, and instead will utilize a statistical model that predicts a mean of six significant snowfalls per month. Use this information to answer the following question correctly: Trying to be forward-thinking, I'm going to try planning my one month long Winter Break based around this model's predictions. I will only travel for the holidays if there is at most one significant snowfall over winter break. What is the probability of this happening? O 0.0174 O 0.0149 O 0.0025 O 0.0542

You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly more than 0.67. Your sample data produce the test statistic z=3.203. Find the p-value accurate to 4 decimal places. You are conducting a study to see if the probability of catching the flu this year is significantly different from 0.33. Your sample data produce the test statistic z=1.84 Find the p-value accurate to 4 decimal places.

The mango is considered the "king of fruits" in many parts of the world. Mangoes are generally harvested at the mature green stage and ripen up during the marketing process of transport, storage, and so on. During this process, about 30% of the fruit is wasted. Because of this, the impact of harvest stage and storage conditions on the postharvest quality are of interest. In this experiment, the fruit was harvested at 80, 95, or 110 days after the fruit setting (the transition from flower to fruit) and then stored at temperatures of 20∘C, 30∘C, or 40∘C. For each harvest time and storage temperature, a random sample of mangoes was selected, and the time to ripening was measured.     What are the factors, the treatments, and the response variables? Take each item from the answer bank and place into the appropriate category.

Management of a theater in a large city wants to know whether its popularity increased after it ran a popular musical. According to a previous study, 25% of city residents said they had been to the theater in the past year. A more recent study, conducted after the musical had run for a year, found that 156 of 536 residents sampled said they had been to the theater in the past year.  Is there evidence at the ? = 0.05 level that the number of residents who have been to the theater has increased in the last year?