Big city Small town Rural Heart disease 35 38 24 The place of life 22 28 53 If one of these individuals is selected at random, find the а. Possibility of being someone who does not live in the countryside while known to be someone without a heart disease. b. Possibility of someone with heart disease, known to be someone who doesn't live in the big city.

Big city Small town Rural Heart disease 35 38 24 The place of life 22 28 53 If one of these individuals is selected at random, find the а. Possibility of being someone who does not live in the countryside while known to be someone without a heart disease. b. Possibility of someone with heart disease, known to be someone who doesn't live in the big city.

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

In a case-control study the association was examined between smoking and risk of Parkinson's disease. The table below provides the results. Find the following; Odds ratio Attributable Risk Risk Ratio Risk Difference Cancer No cancer Smokers 60 33 Non smokers 40 65
The mean birthweight of an infant is thought to be associated with the smoking status of the mother during the first trimester of the pregnancy. Consider the following data from mothers divided into four categories according to smoking habits, and the corresponding birthweights of their children. Group 1: Mother is a non smoker (NON): 7.5, 6.2, 6.9, 7.4, 9.2, 8.3, 7.6 Group 2: Mother is an ex-smoker (EX): 5.8, 7.3, 8.2, 7.1, 7.8 Group 3: Mother is a current smoker, smokes less than 1 pack per day (CUR < 1) 5.9, 6.2, 5.8, 4.7, 8.3, 7.2, 6.2 Group 4: Mother is a current smoker, smokes more than or equal to 1 pack per day (Cur ≥ 1) 6.2, 6.8, 5.7, 4.9, 6.2, 7.1, 5.8, 5.4 Using Stata test whether or not the mean birthweights are equal across all four groups at the alpha = 0.05 level. What is the corresponding p-value? O 0.0284 0.0137 O 0.05 O 0.737
Dr. Mutombo would like to assess the impact of using an online statistics service to help students study for the PSY 215 departmental final exam. A sample of 12 students is obtained. Half (n = 6) are given access to the new stats online service while the other half (n = 6) serves as a control group. Each group of students is eventually tested on an exam out of a 100. Below is the data obtained: Answer the following questions. Show your work for full credit and round to the third decimal whenever necessary. Control Group Experimental Group M1=63 M2=88 SS1=1250 SS2=1750 a. State your hypotheses b. Does the data indicate a ɔignificant difference between the treatments for a two-tailed test at the .05 level of significance? Please specify (1) the t statistic, (2) specify the boundaries of the critical region, (3) state your decision. Show your computations for full credit c. Compute r2 d. Write up your results in a sentence as you would for a research paper; use APA format.
Is gender independent of education level ? A random sample of 395 people were surveyed and each person was asked to report the highest education level they obtained .The data that resulted from the survey is summarized in the following table: High School Bachelors Masters PhD. Female 60 54 46 41 Male 40 44 53 57 Question: Are gender and education level dependent at 5percent level of significance ? In other words given the data collected above is there a relationship between the gender of an individual and the level of education that they have obtained ?
Seattle Grace Medical Center. As part of a long-term study of individuals 65 years of age or older, doctors at the Seattle Grace Medical Center in Washington state investigated the relationship between state of residence and depression. A sample of 60 individuals, all in reasonably good health, was selected; 20 individuals were residents of Texas, 20 were residents of Washington state, and 20 were residents of South Carolina. Each of the individuals sampled was given a standardized test to measure depression. The data collected follow; higher test scores indicate higher levels of depression. These data are contained in the attached data file SeattleGrace1. A second part of the study considered the relationship between state of residence and depression for individuals 65 years of age or older who had a chronic health condition such as diabetes and/or high blood pressure. A sample of 60 individuals with such conditions was identified. Again, 20 were residents of Texas, 20 were residents…
How young is too young to have a cell phone? A group of eighth-grade boys and girls were surveyed and asked if they had a cell phone, with the following results. Cell Phone No Cell Phone Boys 54 46 Girls 57 43 (a) Draw a stacked bar chart to describe the data. I Cell Phone I No Cell Phone 1 Cell Phone I No Cell Phone 1 Cell Phone I No Cell Phone Frequency Frequency Frequency 100 100 100 80 80 80 60 60 60 40 40 40 20 20 20 Gender- Gender- Gender Boys Girls Вoys Girls Воys Girls Cell Phone No Cell Phone Frequency 100 80 60 40 20
In a bumper test, three types of autos were deliberately crashed into a barrier at 5 mph, and the resulting damage (in dollars) was estimated. Five test vehicles of each type were crashed, with the results shown below. Research question: Are the mean crash damages the same for these three vehicles? Crash Damage ($) Goliath Varmint Weasel 1,660 1,290 1,000 770 1,440 2,120 880 1,320 1,850 1,960 1,820 1,210 1,240 960 1,960 Crash Damage in Dollars Goliath Varmint Weasel 1660 1290 1000 770 1440 2120 880 1320 1850 1960 1820 1210 1240 960 1960
Kindly assist with creating bar charts, or pie charts for the below results; The results of this study were based on interviews issued and completed by eleven (11) employees at the Hotel. This research study comprised 31.4% of the total workforce across the three departments, with a total of 35 employees who varied in age from 16 years to above 65 years. 63.6% of individuals who participated were female, while 36% were male. The interviews included participation from 30% of employees in the housekeeping department, 33% from Guest Services, and 31% from the Food and Beverage department. There is a higher representation of females across all departments, with a total of 7 females compared to 4 males. There is a range of tenure lengths, with some employees having just started (1 year) and others having been with the hotel for longer periods (up to 14.5 years).
Your statistics instructor often ponders the relationship between commute time and job satisfaction while driving back and forth to campus. Your instructor hypothesizes that people with a shorter commute time will have higher degrees of job satisfaction. Randomly sampling 600 Valley commuters, the instructor finds the following data listed in frequencies: Table 2: Commuters by Length of Commute and Job Satisfaction Job Satisfaction Number Who Commute 20 Minutes or Less Number Who Commute 21 to 40 Minutes Number Who Commute 41 Minutes or More Total Number for Each Level of Job Satisfaction Dissatisfied 10 60 140 210 Neutral 45 59 51 155 Satisfied 145 60 30 235 Total Number for Each Commute Time Range 200 179 221 1. Change frequencies to column percentages.
The following is data about the hemoglobin concentrations of volunteers collected at sea level and at an altitude of 11000 feet. sea level concentrations = [14.70 , 15.22, 15.28, 16.58, 15.10 , 15.66, 15.91, 14.41, 14.73, 15.09, 15.62, 14.92]11000 feet concentrations = [14.81, 15.68, 15.57, 16.59, 15.21, 15.69, 16.16, 14.68, 15.09, 15.30 , 16.15, 14.76] There are two alternative scenarios about the way the data were obtained. In scenario 1, there are 12 volunteers who lived for a month at sea level, at which time blood was drawn and the data in "sea level concentrations" dataset were obtained. Subsequently, all 12 volunteers were moved to 11000 ft and after a month the data in the "11000 feet concentrations" dataset obtained. There is a one to one correspondence between the numbers in the two datasets, that is the first numbers correspond to volunteer1, the second numbers to volunteer2 etc. In scenario 2, the "sea level concentrations" dataset is a random sample obtained from 12…
Need Help with this question and thank you! Here's the data: Occupation Frequency Hyp. Prop Management 1560 0.09 Business 3199 0.18 Sciences 1271 0.07 Health 1178 0.07 Social sci. 1621 0.09 Arts, rec, sports 560 0.03 Sales, service 4262 0.24 Trades, transport 2614 0.15 Unique to primary 560 0.03 Unique to processing 775 0.05 17600
A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1– population 2, the sample mean difference was d = $870, and the sample standard deviation was s,= $1,125. (a) Formulate the null and alternative hype to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. 0> Prt :°H 0 = Pri :ºH O O Ho: Hdso H: H=0 (b) Calculate the test statistic. (Round your answer to three decimal places.) What is the p-value? (Round your answer to four decimal places.) Can you conclude that the population…