ted to determine if there was an association between daily cantaloupe consumption and the occurrence of colon cancer. The researchers looked at 93,417 women and asked them to report their cantaloupe eating rchers also determined which of the women had adenocarcinoma. After their analysis, the researchers concluded that consumption of two or more servings of cantaloupe per day was associated with a reduction in Complete parts (a) through (c) below. of observational study was this? Explain as a cohort study because it identified a group of individuals to participate in the study and observed the group over a long period of time. was a cross-sectional study because all information about the individuals was collected at a specific point in time. was a case-control study because individuals that had a certain characteristic were matched with those that did not. he response variable in the study? Is the response variable qualitative or quantitative? What is the explanatory variable? response variable in the study? Is the response variable qualitative or quantitative? e response variable is consumption of cantaloupe. The response variable is quantitative. ne response variable is whether the woman has adenocarcinoma or not. The response variable is qualitative. he response variable is the number of individuals who participate in the study who eat two or more servings of cantaloupe per day. The response variable is quantitative. Next Sign out O us v O 10:47 hp Cc @ 24 % backs %3D 4 5 7 8. W e

. The number of nonconformities found on final inspection of a tape deck is shown in below table. Can you conclude that the process is in statistical control? What center line and control limits would you recommend for controlling future production? Deck Number of Deck Number of Number Nonconformities | Number Nonconformities 2412 0 2421 1 2413 1 2422 0 2414 1 2423 3 2415 0 2424 2 2416 2 2425 5 2417 1 2426 1 2418 1 2427 2 2419 3 2428 1 2420 2 2429 1 . Consider the data in Question 7. Suppose we wish to define a new inspection unit of four tape decks. ‘What are the center line and control limits for a control chart for monitoring future production based on the total number of defects in the new inspection unit?

Using age as the quantitative variable and marital status (married/not married) as the categorical. Develop two research questions.

Course/Year 1. Brian, a college administrator, claimed that there was no difference in averages of students coming from three nearby schools A, B, and C. Use the following data to test his claim with a 1% significance level. Ex A-420 2x² 253 Ex B 340 SANOVA Table: 4 Source of Variation Between - column Within - column Total A A. Ho: B. a: 0.01 C. B C 3 _M₁ = M₁₂₁ = M²3 Sum of Squares 2.25 Compute for sum of squares D. Compute for degrees of freedom 84 88 88 E. Compute for mean sum of squares F. Compute for F-value 82 83 80 df 2 Ha: STUDENTS 89 82 89 Mean Sum of Squares 85 83 80 F-value Mr & Mr & M²₂ n₁ = √=n²₁₂₁ = 3 - N = 12 7 Critical Value / Tabular Value Decision

This question refers to excavations at a national monument. One question the archaeologists asked was: Is raw material used by prehistoric Indians for stone tool manufacture independent of the archaeological excavation site? Two different excavation sites gave the information in the following table. Use a chi-square test with 5% level of significance to test the claim that raw material used for construction of stone tools and excavation site are independent. Stone Tool Construction Material Material Site B Row Total Basalt 768 547 1315 Obsidian 101 94 195 Pedernal chert Other Column Total 536 499 1035 179 1496 1228 2724 (a) What is the level of significance? State the null and alternate hypotheses. O Ho: Stone tool material and site are independent. H: Stone tool material and site are not independent. O Ho: Stone tool material and site are not independent. H: Stone tool material and site are independent. O Ho: Stone tool material and site are independent. H: Stone tool material and…

18.10 Anger and heart disease. A nonexperimental study looked at whether people who angered easily were more likely to develop coronary heart disease than those who angered less easily. Spielberger anger scale scores were classified into low, moderate, and high categories. Individuals were followed for up to 72 months (median follow-up time: 53 months). Table 18.9 shows cross-tabulated results for acute and fatal coronary incidents. Calculate incidence proportions for each group. Test the association for statistical significance. Report the chi-square statistic, its df, and P-value.

Please answer these questions  thanks

5.28 Risks and insurance. The idea of insurance is that we all face risks that are unlikely but carry high cost. Think of a fire destroying your home. So we form a group to share the risk: we all pay a small amount, and the insurance policy pays a large amount to those few of us whose homes burn down. An insurance company looks at the records for millions of homeowners and sees that the mean loss from fire in a year is μ = $250 per house and that the standard deviation of the loss is σ = $1000. (The distribution of losses is extremely right-skewed: most people have $0 loss, but a few have large losses.) The company plans to sell fire insurance for $250 plus enough to cover its costs and profit. If the company sells 25,000 policies, what is the approximate probability that the average loss in a year will be greater than $270?

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

Part 1 of 4 A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether the average life span of heart disease patients in Oklahoma City differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6, 0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7 Life Span of Patients Treated at Hospital 2: 17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9, 0.5, 9.2, 13.9, 10.9 Life Span of Patients Treated at Hospital 3: 8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1 Life Span of Patients Treated at Hospital 4:…