Due to the increase in S. Enteritidis in Trinidad and Tobago, CAREC focused their analyses on this serotype. The following data are for S. Enteritidis only. From 1995-97, 227 laboratory-confirmed cases of S. Enteritidis infection were reported in Trinidad and Tobago. Approximately, 76 cases were reported each year for an annual incidence of 6 per 100,000 population. In general, the geographic distribution of patients with S. Enteritidis infection reflected population distributions on the two islands. The largest numbers of cases were reported from the most populous counties of St. George and Victoria. A similar proportion of S. Enteritidis infections occurred among males (48%) and females (52%). However, the distribution of cases varied by age group (Figure 4) and month of diagnosis (Figure 5). Figure 4. Laboratory-confirmed cases of Salmonella Enteritidis (per 100,000 population) by age group and year of diagnosis, Trinidad and Tobago, 1995-1997. Age Group (years) > 50 20-49 10-19 5-9 0-4 0 30 40 Laboratory-confirmed Cases per 100,000 10 20 50 1997 1996 1995 Question 3: Interpret the grouped bar chart of laboratory-confirmed S. Enteritidis cases by age group. What age group(s) is at highest risk for infection?

A state fisheries commission wants to estimate the number of bass caught in a given lake during a season in order to restock the lake with the appropriate number of young fish. The commission could get a fairly accurate assessment of the seasonal catch by extensive “netting sweeps" of the lake before and after a season, but this technique is much too expensive to be done routinely. Therefore, the commission samples a number of lakes and record the seasonal catch (thousands of bass per square mile of lake area) and size of lake (square miles). A simple linear regression was performed and the following R output obtained. Estimate Std. Error t value Pr(>|t|) (Intercept) 2.5463 0.4427 5.7513 0.0000 size 0.0667 0.3672 0.1818 0.8578 If a scatterplot showed a non-linear relationship between the response and explanatory variables, what should be done? O Nothing. Continue the analysis as is. Stop the analysis. Perform a natural log transformation on the response variable first. O Perform a…

2) Consider the following data from a hypothetical case control study examining the relationship between tanning bed use in young adulthood and risk of melanoma Cases 688 196 History of Tanning Bed Use Yes No Controls 288 864 a) Name the appropriate measure of association for estimating the relative risk of melanoma, comparing tanning bed users (exposed) to nonusers (reference category). Calculate this measure and provide a brief interpretation of your answer b) Assume that this relationship is causal. Among young people who use tanning beds, what proportion of melanoma risk could be eliminated by banning tanning bed use in young adults? c) If 4% of all young adults use tanning beds, what proportion of melanoma risk could be eliminated from the overall general population by banning the use of tanning beds in young adults?

The National Association of Home Builders provided data on the cost of the most popular home remodeling projects. Sample data on cost in thousands of dollars for two types of remodeling projects are as follows. Excel File: data 10-41.xlsx Kitchen 25.2 17.4 22.8 21.9 19.7 Master Bedroom 18.0 22.9 26.4 24.8 26.9 Kitchen 23.0 19.7 16.9 21.8 23.6 Master Bedroom 17.8 24.6 21.0 a. Develop a point estimate of the difference between the population mean remodeling costs of kitchens and master bedrooms. (Enter negative values as negative numbers. Report in thousands of dollars with no commas in your answer.) Point estimate = $ thousand b. Develop a 90% confidence interval for the difference between the two population means. (to 1 decimal and enter negative values as negative numbers) ) in thousands of dollars.

A source table has the following information: Three treatment conditions with a sample of n =7 participants in each treatment. You know SS(BW) = 20 and MS(WI) = 2. What is the missing value for MS(BW)? Answer choices: 40, 10, 2, 5 You have an ANOVA source table with the following information: Three treatment groups with a sample of n = 10 participants in each treatment. You also know the SS(BW) =20 and F = 5.00. What is the missing value for SS(Total)? Answer choices: 74, 54, 30, 22 For an experiment involving 2 levels of factor A and 3 levels of factor B with a sample of n = 5 in each treatment condition, what is the value for df(WI)? Answer choices: 30, 29, 24, 20

The provided table shows the in-state undergraduate tuition in 2014 and 2018 for 33 public universities.Virginia's data was identified as an unusual observation. Remove it from the dataset before performing the following analysis.Year2014Year2018Year2014Year2018Year2014Year2018UniversityUniversityUniversityPenn State17,50218,454Ohio State10,03710,726Texas979810,606Pittsburgh17,77219,080Virginia12,99817,564Nebraska80709154Michigan13,48615,262Cal-Davis15,58914,463lowa80799267Rutgers14,29714,974Cal-Berkeley12,97214,184Colorado10,78912,532Michigan StateCal-Irvine14,75715,614Iowa State7731898813,81314,460Purdue10,0029992North Carolina83468987Maryland942710,595Illinois15,02015,094Cal-San Diego13,45614.199Kansas10,44811,148Minnesota13,62614,693Oregon991811.898Arizona10,95712,487Missouri11,02112,055Wisconsin10,41010,555Florida63136381Buffalo887110,099Washington12,39411,517Georgia Tech11,39412,424Indiana10,38810,681UCLA13,02913,774Texas A&M917910,968Click to download the data in your…

The table below shows the auto insurance quotes for two leading companies for a sample of 15 families. Assume the populations SDs are similar, but unknown. The President of the American Insurance Institute wants to compare the yearly costs of such insurance offered by the two companies. At the 0.10 level of significance, can we conclude that there is a difference in the amounts quoted? Families Southern Car American Mutual   ($) ($) 1 2090 1610 2 1683 1247 3 1402 2327 4 1830 1367 5 930 1461 6 697 1789 7 1741 1621 8 1129 1914 9 1018 1956 10 1881 1772 11 1571 1375 12 874 1527 13 1579 1767 14 1577 1636 15 860 1188

As part of a study on transportation safety, the U.S. Department of Transportation collected data on the number of fatal accidents per 1,000 licenses and the percentage of licensed drivers under the age of 21 in a sample of 42 cities. Prepare a managerial report that analyzes the data. Consider the complete data set collected over a one-year period. Safety Percent Under 21 Fatal Accidents per 1000 12 2.942 11 0.688 7 0.865 11 1.632 10 2.071 16 2.607 17 3.81 7 0.348 12 1.122 7 0.625 8 1.008 15 2.781 11 1.385 8 1.413 9 0.019 8 0.318 10 1.829 11 2.226 13 2.835 13 2.332 10 1.274 16 4.08 7 2.17 15 3.603 14 2.603 8 0.815 7 0.8 13 2.87 7 1.247 14 3.204 9 0.994 9 0.473 13 1.423 17 3.594 9 1.906 13 1.623 15 2.923 11 1.893 14 2.794 12 2.614 8 0.906 16 3.236 Find the mean and standard deviation of licensed drivers under the age of 21. (Round your answers to two decimal places.) MeanStandard deviation Find…

The fill size for a small bag of peanuts distributed by a popular airline is 50 grams. The producer wishes to set up a set of control charts for this process and collects the data shown in the table. Item #1 Sample 1 54.5 2 50.6 3 51.1 4 52.7 5 51.7 6 51.1 7 54.0 8 53.2 9 51.9 What is the sample size? a. 4 Ob.9 c. 13 d. 45 Item #2 54.3 53.5 54.3 52.1 51.2 51.5 52.3 50.4 50.2 Item #3 53.8 53.2 50.4 51.3 54.7 54.7 54.7 53.4 50.2 Item #4 50.4 54.9 50.7 51.0 54.3 50.4 51.4 51.4 52.9