2. You are given the following experience for 3 group policyholders: Year 1 Year 2 10 A Number of policies Average losses Number of policies Average losses CNumber of policies Average losses 15 5 10 B N/A 30 N/A 12 N/A 20 N/A 5 Using empirical Bayes non-parametric methods, calculate the credibility factor Z for policyholder B.
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- The sales for Sunflowers Apparel, a chain of upscale clothing stores for women, have increased during the past 12 years as the chain has expanded the number of stores open. Until now, Sunflowers managers selected sites based on subjective factors, such as the availability of a good lease or the perception that a location seemed ideal for an apparel store. As the new director of planning, you need to develop a systematic approach that will lead to making better decisions during the site selection process. As a starting point, you believe that the size of the store significantly contributes to store sales, and you want to use this relationship in the decision-making process. To examine the relationship, a sample of 14 stores was selected. The results are recorded in the accompanying table: Store Size (thousands of sq. ft) Annual Sales (millions of $) 1 1.7 3.7 2 1.6 3.9 3 2.8 6.7 4 5.6 9.5 5 1.3 3.4 6 2.2 5.6 7 1.3 3.7…Subject Risk Age Blood Pressure Smoker 1. 12 57 152 2 24 67 163 3 13 58 155 4 56 86 177 1 5) Determine using appropriate graphical methods whether older people at a higher 5 28 59 196 risk of stroke ie is there a corelation between age and risk of stroke? 51 76 189 1. 7 18 56 155 1 8 31 78 120 9 37 80 135 1 10 15 78 98 11 22 71 152 12 36 70 173 1. 13 15 67 135 14 48 77 209 1. 15 15 60 199 16 36 82 119 1. 17 8. 66 166 18 34 80 125 1. 19 3 62 117 20 37 59 207 1. 21 13 56 153 22 25 бб 162 23 14 57 156 24 57 85 176 1. 25 29 58 197 26 52 75 188 1 27 19 55 156 1 28 32 77 119 29 38 79 134 1. 30 16 77 99 31 23 70 151 32 37 69 174 1 33 16 66 134 1. 34 49 76 208 1 35 16 59 200 36 37 81 118 1 37 65 167 38 35 79 124 1 39 4 61 118 40 38 58 206 16. The DNR is planning a study to determine whether breakwaters help decrease erosion at a large lake. They divide the shoreline into 100-foot plots, installing some with breakwaters and some without. However, the east and west shorelines of this lake receive very different wave patterns due to the wind. The DNR suspects this will affect the responses to the breakwaters. Because of this, the DNR plans to treat each shoreline as a different group. This study is an example of (A) An uncontrolled experiment (B) A blocked design experiment. (C) A matched pairs experiment. (D) A stratified random sample (E) A randomized observational study
- A manager wonders if there is a relationship between customers' class (U1-U4) and their primary visit reason.Based on the Cross-tab analysis result in Table 1, what would you tell to the manager? see attached analysis tableWhat are the assumptions underlying the predator-prey model discussedin this section?variables and hypothesis section: The article reviews various aspects of network analysis and probabilistic inference to understand the complexities and dynamics of network analysis. It utilizes data from clinical education on diabetic foot and online social network software to analyze the relationships between network participants and the patterns related to their networking behavior. The data explored involve clinical education on diabetic foot and online and social network software for research. The variables being analyzed are the relationships between the network participants, as well as the patterns related to the networking behaviors. The hypotheses tested in the article are related to examining the effect of different forms of networks on the efficacy of clinical education, as well as the impact of online network relationships among people. The outcomes of the analysis and hypotheses in the article are used to explain the importance of different probabilistic inferences and…
- 11) Consider each of the following scenarios and state whether the variable in question is a confounder, or whether more information is needed to assess confounding. Choose from Yes / No / or Need more information, and provide a very brief explanation for your selection a) In a cohort study of liver cancer among males, incidence rates of liver cancer among men with unhealthy alcohol use are compared to incidence rates of liver cancer among non-drinkers. Is gender a confounder in this study? b) A case-control study of the risk of beer consumption and oral cancer among men (overall OR = 2.8). In this study, cigarette smoking is associated with beer consumption and is a risk factor for oral cancer among both beer drinkers (OR=3.6) and nondrinkers (OR=3.7). Is cigarette smoking a confounder in this study? c) In a study of the risk of pulmonary hypertension among women who take diet drugs to lose weight, the crude relative risk of pulmonary hypertension comparing diet drug users to…What is a dummy variable trap and how is it related to multicollinearity of regressors? What is the solution for this form of multicollinearity?Westminster Financial has released a summary of investor and investment package information from the past fiscal year. During this time, Westminster provided a choice among 12 pre-designed investment packages. The investment packages were classified according to two variables: riskiness of investment package chosen ("Risky", "Moderate/mixed", and "Conservative") and age of investor ("Under 35", "35-49", or "50+"). Suppose that we're interested in the possible relationship between the age of the investor and the riskiness of the investment package the investor chose. The following contingency table gives a summary of the information released by Westminster regarding age and riskiness of investment package for 150 investors. In the cells of the table are the respective observed frequencies, and three of the cells also have blanks. Fill in these blanks with the frequencies expected if the two variables, riskiness of investment package chosen and age of investor, are independent. Round…
- In a survey of statistics students, it is found that 54 use RStudio, 43 use SAS, and 32 use Stata, for data analysis. Moreover, 29 use both RStudio and SAS, 18 use both RStudio and Stata, and 21 use both SAS and Stata, for data analysis. Fifteen of these students use RStudio, SAS, and Stata, while nine of them use tools other than R Studio, SAS, and Stata. a. How many students use RStudio only for data analysis? b. How many students use at least two software for data analysis? c. How many students use SAS or Stata, but not both?Management of a major company has made the following assumptions regarding their consumer profile. Over 60% of all shoppers are women Less than 40% of our customer primarily make purchases through online resources The average age of the purchasers of product B is below 45 years. The average weekly purchase of the top selling product A exceeds $50. The company hired market researchers to determine the validity of their consumers' demographic assumptions. The researchers conducted survey and focus groups to evaluate the purchasing pattern of the company's current consumers. In a survey of 400 consumers, 252 respondents were women and 148yrespondents indicated they purchase the company's products online. The average age of the respondents was 44 years with standard deviation of 10 years. The average weekly purchase of top selling products A and B by the respondents were $52 with standard deviation of $10.5 and $60 with standard deviation of $22.0 respectively. Determine which of the…1. What is the independent variable? How is it operationally defined? 2. What type of variable is the independent variable (situational, response, participant, or mediating)? 3. What is the dependent variable? How is it operationally defined? 4. What type of variable is the dependent variable (situational, response, participant, or mediating)? 5. Is it a nonexperimental or experimental design? Why? For each of the kinds of validity below, what concerns about that type of validity do you have with this study? If you don’t have any concerns about that kind of validity, then explain why you think the study does a good job addressing it. If you would need additional information to evaluate that kind of validity, specify what you would need to know. A. Construct validity B. Internal validity C. External validity D. Statistical conclusion validity