In murder trials in 20 Florida counties during 1976 and 1977, the death penalty was given in 19 out of 151 cases in which a white killed a white, in 0 out of 9 casesin which a white killed a black, in 11 out of 63 cases in which a black killed a white and in 6 out of 103 in which a black killed a black. (M. Radelet, Amer. Sociol. Rev.,46:918-927, 1981). These numbers are displayed in the following three-way contingency table (you should be able to create this contingency table yourself),stratified by victim's race.Victim's RaceWhiteBlackTOTALDefendant's RaceWhiteBlackWhiteBlackWhiteBlackDeath Penalty1911061917No death penalty13252997141149TOTAL151639103160166Calculate for white victims, the odds ration representing the odds of getting the death penalty for white as opposed to blacks. Give your answer to 3 decimal places.

Victim's RaceDefendant's RaceDeath PenaltyNo death…

Answered: In murder trials in 20 Florida counties…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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I. There are 8 different fruity flavors in Brach's Sweet and Sour Variety Mix. The manufacturer says that a package contains about 280 pieces. You bought a bag to give out for Halloween. a) Your favorite flavor is LemonHead – how many LemonHead pieces do you expect to find in this bag? b) If it turns out that there 40 LemonHeads in the bag do you think the difference between what occurred and what you would expect by chance is statistically significant? Explain. c) If it turns out that there are 70 LemonHeads in the bag do you the difference between what occurred and what you would expect by chance is statistically significant? Explain.
A skin patch contains a new drug to help people quit smoking. A group of 75 cigarette smokers have volunteered as subjects to test the new skin patch. For one month, 40 of the volunteers receive skin patches with the new drug. The other volunteers receive skin patches with no drugs. At the end of the two months, each subject is surveyed regarding his or her current smoking habits. (Select all that apply.) a) No placebo is being used.b) Then record the smoking habits of all volunteers to see if a difference exists between the two groups.c) Then record the smoking habits of the 40 volunteers to see if a difference exists between the two groups.d) Use random selection to pick 40 volunteers for the skin patch with the drug.e) Use random selection to pick 35 volunteers for the skin patch with the drug.f) A placebo patch is used for the remaining 35 volunteers in the second group.g) Then record the smoking habits of the 35 volunteers to see if a difference exists between the two groups.
We want to know if the average rating of attractiveness (1=homely, 5=stunning) of a typical person differs depending on the state they are located in. We believe that there will be significant differences in the average attractiveness of the people at each of the four states we examine. 1) Report (in words or statistical notation), our null and alternative hypothesis: Provided are the data we collected from four different states: OR, WA, ID, and CA (see below): OR WA ID CA X bar 3.01 3.07 2.88 3.7 SD 0.42 0.60 0.46 0.30 n 10 10 10 9 SS 92.19 97.47 84.84 123.95 2) Given that we have more than two samples, we need to conduct a one-way ANOVA. Conduct the test in order to calculate the F-statistic addressing our hypothesis. Be sure to calculate the grand mean and the between-groups & within-groups mean-squares first (also don’t forget to round to 2 decimal places and report the formulas!!): 3.) Calculate the degrees…
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The Alan Guttmacher Institute Abortion Provider Survey is a survey of all 358 known nonhospital abortion providers in the United States (Perspectives on Sexual and Reproductive Health, Jan./Feb. 2003). For one part of the survey, the 358 providers were classified according to case load (number of abortions performed per year) and whether they permit their patients to take the abortion drug misoprostol at home or require the patients to return to the abortion facility to receive the drug. The responses are summarized in the accompanying table. Suppose we select, at random, one of the 358 providers and observe the provider's case load (fewer than 50, or 50 or more) and home use of the drug (yes or no). Number of Abortions Permit Drug at Home Fewer than 50 50 or more Totals Yes 170 130 300 No 48 10 58 Totals 218 140 358 a. Find the probability that the case load of a provider is fewer than 50, given that the provider permits home use of the abortion drug. b. Find the…
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As part of a study on how people of different ages use mobile technology, each person in a sample of 258 cell phone users age 20 to 39 was asked if they use their cell phones to stay connected while they are in bed. The same question was also asked of each person in a sample of 129 cell phone users age 40 to 49. In the 20 to 39 years age group, 168 people indicated that they do stay connected while they are in bed, whilst in the 40 to 49 years old age group, 61 people stay connected while in bed.Let: ??̂ 1 = Proportion of cell phone users age 20 to 39 who stay connected while they are in bed ??̂ 2 = Proportion of cell phone users age 40 to 49 who stay connected while they are in bed ??̂= Pooled proportion of cell phone users who stay connected while they are in bed
a) Market research has shown that 60% of persons who are introduced to a certain product actually buy the product. A random sample of 15 persons were introduced to the product.
As part of a study on how people of different ages use mobile technology, each person in a sample of 258 cell phone users age 20 to 39 was asked if they use their cell phones to stay connected while they are in bed. The same question was also asked of each person in a sample of 129 cell phone users age 40 to 49. In the 20 to 39 years age group, 168 people indicated that they do stay connected while they are in bed, whilst in the 40 to 49 years old age group, 61 people stay connected while in bed.Let: ??̂ 1 = Proportion of cell phone users age 20 to 39 who stay connected while they are in bed ??̂ 2 = Proportion of cell phone users age 40 to 49 who stay connected while they are in bed ??̂= Pooled proportion of cell phone users who stay connected while they are in bed
5) Accounting data for sales showed that in randomly selected 15 stores the quantities of products sold are: 509, 517, 502, 629, 830, 911, 847, 803, 727, 853, 757, 730, 774, 718, 904 Unsatisfied with those results, a company decided to start advertising campaign. After the campaign finished, the number of products sold in these same stores were: 517, 508, 523, 730, 821, 940, 818, 821, 842, 842, 709, 688, 787, 780, 901 Did the advertising campaign produce statistically significant results?
As part of a study on how people of different ages use mobile technology, each person in a sample of 258 cell phone users age 20 to 39 was asked if they use their cell phones to stay connected while they are in bed. The same question was also asked of each person in a sample of 129 cell phone users age 40 to 49. In the 20 to 39 years age group, 168 people indicated that they do stay connected while they are in bed, whilst in the 40 to 49 years old age group, 61 people stay connected while in bed. Let: = Proportion of cell phone users age 20 to 39 who stay connected while they are in bed ??̂ 2 = Proportion of cell phone users age 40 to 49 who stay connected while they are in bed ??̂= Pooled proportion of cell phone users who stay connected while they are in bed

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