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- The National Electronic Injury Surveillance System tracks injuries reported from hospital admissions across the United States (Consumer Product Safety Commission 2018). For the data in 2017, we extracted all incidences of hand injuries that referenced punching a wall. There were 1843 such cases. The surveillance system also records some of the properties of the patients, including gender. Of all cases where a person was admitted to a hospital for injuries from punching a wall, 1352 were recorded as male and 491 were recorded as female. a. Do an appropriate hypothesis test to ask whether the proportion of males among wall-punchers is 50%.uppose Laura, a facilities manager at a health and wellness company, wants to estimate the difference in the average amount of time that men and women spend at the company's fitness centers each week. Laura randomly selects 13 adult male fitness center members from the membership database and then selects 13 adult female members from the database. Laura gathers data from the past month containing logged time at the fitness center for these members. She plans to use the data to estimate the difference in the time men and women spend per week at the fitness center. The sample statistics are summarized in the table. Population Populationdescription Population mean(unknown) Samplesize Sample mean(min) Sample standarddeviation (min) 1 male ?1 ?1=13 ?⎯⎯⎯1=132.5 ?1=45.3 2 female ?2 ?2=13 ?⎯⎯⎯2=108.7 ?2=31.1 df=21.256 The population standard deviations are unknown and unlikely to be equal, based on the sample data. Laura plans to use the two-sample ?-procedures to estimate the…Write a report of the different research design with exceptional of experimental research design.
- A recent drug survey showed an increase in the use of drugs and alcohol among local high school seniors as compared to the national percent. Suppose that a survey of 100 local seniors and 100 national seniors is conducted to see if the proportion of drug and alcohol use is higher locally than nationally. Locally, 65 seniors reported using drugs or alcohol within the past month, while 60 national seniors reported using them.Several epidemiologists conducted a cohort study of the effect of mercury exposure on the development of brain cancer. Subjects were followed for ten years. There were a total of 150,000 people in the study. Among the subjects, 76,000 were exposed to mercury and the rest were not. 52,000 of those exposed to mercury developed brain cancer, and only 1,200 of those unexposed to mercury developed brain cancer. Please create a two-by-two table. Calculate the relative risk and interpret it in a sentence. Calculate the attributable risk and interpret. Calculate the percent attributable risk and interpret. Assume that 30% of people in Rhode Island are exposed to mercury, calculate and interpret the population attributable risk and calculate and interpret the percent population attributable risk.A study was performed to evaluate the support for increasing the speed limit between the residents. A random sample of 500 residents of Marietta - Georgia found that 385 were in favor of increasing the highway speed limit to 75 mph, while another sample of 400 residents of Kennesaw - Georgia found that 267 were in favor of the increased speed limit. Do these data indicate that there is a difference in the support for in increasing the speed limit between the residents of the two cities? Use a = 0.05. (a) Test the hypothesis Ho: P1 = p2 versus H1: P1 # P2. What is zo? (b) Is it reasonable to conclude that there is a difference in the support for increasing the speed limit between the residents of the two cities?
- The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 64.49590764.495907 5.9533305.953330 10.83358510.833585 0.0000370.000037 Hours Unsupervised −0.974079−0.974079 1.1097971.109797 −0.877709−0.877709 0.4138620.413862 Hours Playing Video Games 4.9768084.976808 1.0636721.063672 4.6788924.678892 0.0034000.003400 Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2: Indicate if any of the independent variables…The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Indicate if any of the independent variables could be eliminated at theThe following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Write the multiple regression equation for the computer output given. Round your answers to three decimal places.
- The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Intercept 64.821745 4.918050 13.180375 0.000012 Hours Unsupervised -1.691108 1.396989 -1.210538 0.271590 Hours Playing Video Games 6.796882 1.515248 4.485657 0.004167 Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2: Indicate if any of the independent variables could be eliminated at the 0.050.05 level of significance.One common system for computing a grade point average (GPA) assigns 4 points to an A, 3 points to a B, 2 points to a C, 1 point to a D, and 0 points to an F. What is the GPA of a student who gets an A in a 3-creditcourse, a B in each of two2-creditcourses, a C in a 4-credit course, and a D in a 3-3-credit course?Santa was interested in increasing toy productivity. He randomly assigned elves into 2 separate groups. In one group elves were given some special "go juice" (i.e., maple syrup) and in the other group they had candy cane flavored water. After a week, Santa measured toy productivity across the 2 groups. What test would Santa use to see if drink type (go juice vs, candy cane water) resulted in differences in toy productivity?