6. A population study studied 22,000 male physicians who were assigned to either a low-dose aspirin treatment or a placebo. They followed the physicians for about 5 years and recorded whether or not they had a myocardial infarction (heart attack). The data is presented below. Heart Attack No Heart Attack Aspirin 139 10898 Placebo 239 10795 Note the data is real data from a real study. Conduct a chi-square test (Use a = clear about whether this is a Chi-Square Test for Independence or a Chi-Square Test of Homogeneity, and state you conclusions appropriately. 0.05). Be sure you are

6. A population study studied 22,000 male physicians who were assigned to either a low-dose aspirin treatment or a placebo. They followed the physicians for about 5 years and recorded whether or not they had a myocardial infarction (heart attack). The data is presented below. Heart Attack No Heart Attack Aspirin 139 10898 Placebo 239 10795 Note the data is real data from a real study. Conduct a chi-square test (Use a = clear about whether this is a Chi-Square Test for Independence or a Chi-Square Test of Homogeneity, and state you conclusions appropriately. 0.05). Be sure you are

Name: 6. A population study studied 22,000 male physicians who were assigne
Uploaded: 2024-03-20T07:06:27.000Z
Channel: Bartleby
Description: 6. A population study studied 22,000 male physicians who were assigned to either a low-dose aspirintreatment or a placebo. They followed the physicians for about 5 years and recorded whether or notthey had a myocardial infarction (heart attack). The

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Q: A union of restaurant and foodservice workers would like to estimate this year's mean hourly wage u…

A: Statistical hypothesis testing is an important method in inferential statistics. It is used to test…

Q: A company gives the variance in their production of a particular part as 0.051cm. Use the sample…

A: Given: σ02=0.051cmn=32s2=0.08 the significance level is taken as 0.05.

Q: As a researcher, you are interested in predictors of helping behaviors in adults. After consulting…

A: It is needed to determine the dependent and independent variable.

Q: What is the name of this hypothesis test? In a 2008 survey, people were asked their opinions on…

A: Z-statistic proportion: The z-statistic proportion is defined as the ratio of the ‘distance between…

Q: Which type of research would you be conducting on this research question? Select one.

A: Given: Among the types of nursing homes that have existed in my town over the past five years, which…

Q: If you are analyzing statistical data from a range of percentages of participant responses and…

A: If you are analyzing statistical data from a range of percentages of participant responses and…

Q: Which of the following correctly describes statistical process control (SPC) in healthcare? OA. SPC…

A: The SPC uses statistical tools to identify and eliminate special causes of variation, thereby…

Q: Researchers investigating the impact of prenatal care on newborn health collected data from 866…

A: The set or collection of all possible observations is defined as the population. The proper subset…

Q: A study on ovarian cancer observed the following pattern for the relationship between histologic…

A: Incidence density rate is the speed at which an at-risk population develops new cases of a disease…

Q: A value of r2=.09 is considered what for the effect size test of the percentage of variance…

A: Given, r2=0.09

Q: much customers buy is a direct result of how much time they spend in the store. A study of average…

A: We have given that Population mean =8.3 for female Population mean =4.5 for Male NOTE:- According…

Q: A study is run to estimate the incidence of atrial fibrillation (AF) in men and women over the age…

A: Given See the handwritten solution

Q: A statistical program is recommended. A study of emergency service facilities investigated the…

A: a) The independent variable is the number of facilities (x) and the dependent variable is the…

Q: were you able to answer D & E?

A: It has been estimated that only about 28% of residents in Ventura County have adequate earthquake…

Q: How Much Older Are Husbands? Exercise 2.213 introduces a dataset giving the ages of the two people…

A: 2.213

Q: 1. Compute the sum of squares due to treatment, SST, and the sum of squares due to error, SSE. 2.…

A: The data shows the three treatments x1, x2, x3.

Q: How might measurement and design errors affect respondent errors?

A: Design errors can lead to non response errors as the respondent is not sure how to answer a question…

Q: Given your decision, what type of error could you be making? Use data from Experiment 1 to answer…

A: STM capacity has, population mean , m = 7 items and population sd, s = 2 items. A random sample of…

Q: Provide an example of a research project in your hometown where the one-sample chi-square test would…

A: A chi square test is used to test the comparison between observed and expected results. The main…

Q: 10. What is the MSG for this study? 11. What is the MSE for this study? 12. What is the df, for this…

A: The women who first married in their twenties were randomly divided into three groups: A, B and C.…

Q: Is there a statistically significant difference between males and females in terms of hiring and…

A: Note: Hey there! Thank you for the question. As you have posted several sub-parts of a question,…

Q: Use the following ANOVA table to answer the question. Source Regression DF 2 17 SS 355.22 76.38…

A: Given a ANOVA table. We have to answer the question using the given ANOVA table.

Q: Consider the data below. Previous studies have shown that approximately 32% of women deliver…

A: Given information:Sample size (n) = 100Significance level = 0.05

Q: A medical researcher randomly assigns 100 high-risk heart patients into two groups. One group will…

A: Given info: A medical researcher randomly assigns 100 high-risk heart patients into two groups. One…

Q: What is it called when an article is written by a researcher who has conducted the study…

A: Empirical research : it is research that is based on observation and measurement of phenomena, as…

Q: A sample of 250 employees of a company is selected, and the average age is found to be 35 years.…

A: Given information, A sample of 250 employees of a company is selected, and the average age is found…

Q: Why do statisticians prefer experimental studies over observational studies?

A: Why do statisticians prefer experimental studies over observational studies?

Q: What was the power for this study?

A: We need to know the effect size, sample size, significance level, and alternative hypothesis in…

Concept explainers

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

Topic Video

Question

6. A population study studied 22,000 male physicians who were assigned to either a low-dose aspirin
treatment or a placebo. They followed the physicians for about 5 years and recorded whether or not
they had a myocardial infarction (heart attack). The data is presented below.
Heart Attack
No Heart Attack
Aspirin
139
10898
Placebo
239
10795
Note the data is real data from a real study. Conduct a chi-square test (Use =
clear about whether this is a Chi-Square Test for Independence or a Chi-Square Test of Homogeneity,
and state you conclusions appropriately.
0.05). Be sure you are

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step 3

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 3 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Data Collection, Sampling Methods, and Bias$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions

Suppose you are asked to toss a coin 16 times and calculate the proportion of the tosses that were heads. a. What shape would you expect this histogram to be and why? b. Where you do expect the histogram to be centered? c. How much variability would you expect among these proportions? d. Explain why a Normal model should not be used here.
You collect information on a random sample of women and obtain estimates on vitamin D exposure. However, the results that you find are different than those conducted at another study site. Should you be concerned? Explain your answer using the concept of sampling variability
How much customers buy is a direct result of how much time they spend in the store. A study of average shopping times in a large national houseware store gave the following information (Source: Why We Buy: The Science of Shopping by P. Underhill). Women with female companion: 8.3 min.Women with male companion: 4.5 min. Suppose you want to set up a statistical test to challenge the claim that a woman with a female friend spends an average of 8.3 minutes shopping in such a store. (a) What would you use for the null and alternate hypotheses if you believe the average shopping time is less than 8.3 minutes? Ho: ? = 8.3; H1: ? ≠ 8.3Ho: ? < 8.3; H1: ? = 8.3 Ho: ? = 8.3; H1: ? < 8.3Ho: ? = 8.3; H1: ? > 8.3 Is this a right-tailed, left-tailed, or two-tailed test? right-tailedtwo-tailed left-tailed (b) What would you use for the null and alternate hypotheses if you believe the average shopping time is different from 8.3 minutes? Ho: ? = 8.3; H1: ? > 8.3Ho: ? ≠ 8.3; H1: ? = 8.3…
Which of the following are the names commonly used for the variable Y in sample regression? 1. covariate variable 2. independent variable 3. predictor variable 4. Explained variable 5. Response variable 6. explanatory variable 7. Predicted variable 8. Dependent variable 9. Criterion variable
You conducted a study to assess the effect of smoking on systolic blood pressure. The results showed that there was a significant association between the two variables, with an odds ratio of 1.5. Explain this finding to someone who has no background in epidemiologic research.
One group's measure of math anxiety following a stress management seminar (pre and post test scores). A. T-test independent samples B. T-test dependent samples C. One-way ANOVA D. Correlation E. Chi square F. Simple Regression
News reports speak of an emerging crisis of childhood obesity in the United States. The National Health and Nutrition Examination Survey (NHANES) is a government survey run every several years recording a number of vital statistics on a random sample of Americans. A body mass index (BMI) is computed for each individual in the sample based on the individual's height and weight. Here are sample results for 8-year-old boys over the past 40 years. The table gives the sample size for 3 different surveys, the sample mean and sample standard deviation. Suppose we want to run an ANOVA to see if there is a difference in mean BMI for the three surveys. Assume each survey is a random sample and there are no extreme outliers.What is the sample standard deviations for each survey? ...the NHES II study? ...the NHANES II study? ...the NHANES study?
The age of first marriage for women who responded to a survey by the CDC between 2006 and 2010 is used here. The women who first married in their twenties were randomly divided into three groups: A, B, and C. The ANOVA output is supplied below: Count NAS (Missings) 3773 group Count A 1288 B 1246 C 1239 Frequency Source DF 2 group Residual 3770 28 26 24 Response Variable (age) Summary Mean 22 20 T 0 Group Variable Summary NAS Mean (Missings) 23.73787 A 0 23.76941 0 23.77929 0 23.66344 ANOVA Table: age-group Sum of Squares 10.283 26969 Mean Square Std. Dev. Std. Dev. 2.674442 B F Value Pr>F MSG 0.71875 0.48743 MSE Age of First Marriage in 20's 2.728097 2.664101 2.628699 C
What does statistically significance indicates?
An article in a Journal reports that 34% of American fathers take no responsibility for childcare. A researcher claims that the figure is higher for fathers in the town of Littleton. A random sample of 234 fathers from Littleton yielded 96 who did not help with childcare. How many populations? 01 What is the parameter? O Mean O Proportion O Difference between Means O Variance Standard Deviation
Denny studied factors affecting cardiovascular reactivity to a postural change in a sample of healthy men and women. Change in systolic blood pressure (SBP) from supine to standing position was used as the measure of cardiac reactivity in a sample of 842 adults. Supine measurement of blood pressure was taken after participants had lain on an examination table for 15 minutes. Blood pressure was determined every 30 seconds using a Dinamap device for 2 minutes, and the measurements were averaged. Participants then stood up immediately, and additional measurements were made for another 2 minutes. Below is a table describing the characteristics of Denny’s sample: Which measures of dispersion, if any, are presented in this table (Ranges, SDs)? If age is normally distributed, approximately what percent of the sample would be younger than 50? If BMI is normally distributed, approximately what percent of the sample would have a BMI higher than 33.1?
Check My Work (5 remaining) Each year, over 2 million people in the United States become infected with bacteria that are resistant to antibiotics. In particular, the Centers of Disease Control and Prevention has launched studies of drug-resistant gonorrhea (CDC.gov website). Of 142 cases tested in Alabama, 9 were found to be drug-resistant. Of 268 cases tested in Texas, 5 were found to be drug-resistant. Do these data suggest a statistically significant difference between the proportions of drug- resistant cases in the two states? Use a 0.02 level of significance. What is the p-value, and what is your conclusion? Test statistic = (to 2 decimals) p-value = (to 4 decimals) Conclusion: Reject the null hypothesis Choose the correct option. There is a significant difference in drug resistance between the two states. Alabama has the higher drug resistance rate. True