Introductory Statistics (2nd Edition)
2nd Edition
ISBN: 9780321978271
Author: Robert Gould, Colleen N. Ryan
Publisher: PEARSON
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Chapter 12, Problem 3SE
To determine
Determine whether or not the given study is a controlled experiment or an observational study.
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Research indicates that there may be a relationship between caffeinated coffee consumption and risk of depression in women. Provided is data on the amount of caffeinated coffee consumed and whether the woman was diagnosed with clinical depression. Of interest is to see if there is evidence of an association between caffeinated coffee intake and clinical depression in women. What are the hypotheses?
Caffeinated coffee
Depression
<1 cup/wk
>=1 cup/day
2-3 cups/day
4+ cups/day
Total
Yes
670
1278
564
95
2607
No
11545
22573
11726
2288
48132
Total
12215
23851
12290
2383
50739
A. H0: H0 is not true and there is no association between caffeine intake and depression in women
B. There is no association between caffeine intake and depression in women and H0 is not true
C. Research indicates that there may be a relationship between caffeinated coffee consumption and risk of depression in women
D. H0: There is an association between caffeine intake and…
Researchers have observed that high school
students who watched educational television
programs as young children tend to have
higher grades than their peers who did not
watch educational television. Is this an
observational study or a controlled
experiment? Explain why.
A cross-sectional survey of just high school dropouts would provide adequate data for testing a causal argument about what may cause dropping out.
True
False
Chapter 12 Solutions
Introductory Statistics (2nd Edition)
Ch. 12 - Dairy Products and Muscle The following two...Ch. 12 - Coffee and Depression The following two headlines...Ch. 12 - Prob. 3SECh. 12 - Prob. 4SECh. 12 - Prob. 5SECh. 12 - Prob. 6SECh. 12 - Niacin and Heart Disease The New England Journal...Ch. 12 - Prob. 8SECh. 12 - Prob. 9SECh. 12 - Prob. 10SE
Ch. 12 - Prob. 11SECh. 12 - Prob. 12SECh. 12 - Prob. 13SECh. 12 - Prob. 14SECh. 12 - Prob. 15SECh. 12 - Options on Global Warming People were asked...Ch. 12 - Prob. 17SECh. 12 - SAT Prep and Power Suppose an SAT tutoring company...Ch. 12 - Brain Games (Example 2) Researchers are interested...Ch. 12 - A Smile a Day Smiling is a sign of a good mood,...Ch. 12 - Swimsuits and Racing Speeds (Example 3) New, slick...Ch. 12 - Flu Vaccines and Age Suppose you want to compare...Ch. 12 - Preventing Heart Attacks with Aspirin Suppose that...Ch. 12 - Prob. 24SECh. 12 - Prob. 25SECh. 12 - Prob. 26SECh. 12 - Reading Colored Paper (Example 4) Some people...Ch. 12 - Prob. 28SECh. 12 - Prob. 29SECh. 12 - Prob. 30SECh. 12 - Prob. 31SECh. 12 - Prob. 32SECh. 12 - Prob. 33SECh. 12 - Prob. 34SECh. 12 - Prob. 35SECh. 12 - Prob. 36SECh. 12 - Prob. 37SECh. 12 - Prob. 38SECh. 12 - Prob. 39SECh. 12 - Prob. 40SECh. 12 - Prob. 41SECh. 12 - Prob. 42SECh. 12 - Prob. 43SECh. 12 - Prob. 44SECh. 12 - Prob. 45SECh. 12 - Prob. 46SECh. 12 - Prob. 47SECh. 12 - Prob. 48SECh. 12 - Prob. 49SECh. 12 - Prob. 50SECh. 12 - Alumni Donations The alumni office wishes to...Ch. 12 - Prob. 52SECh. 12 - Drug for Asthma (Example 7) Eosinophils are a form...Ch. 12 - Blood Sugar Refer to Exercise 12.50 on tight...Ch. 12 - Prob. 55SECh. 12 - Prob. 56SECh. 12 - Prob. 57CRECh. 12 - Prob. 58CRECh. 12 - Prob. 59CRECh. 12 - Prob. 60CRE
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- What is an experiment? Give two examples.arrow_forwardA research team is interested in determining if there is a relationship between death anxiety and religiosity. Subjects completed a death anxiety scale (high score = high anxiety) and also completed a checklist designed to measure an individual's degree of religiosity (belief in a particular religion, regular attendance at religious services, number of times per week they regularly pray, etc.) (high score = greater religiosity). What statistical test is most suitable to answer the research objective? a. Chi-Square Test b. Correlation Coefficient c. t-test d. ANOVAarrow_forwardStudies have suggested that alcohol abuse and disorders are found to be more prevalent during early adulthood than in any other age group, with about 9% of young adults (age 18 to 29 years) meeting the criteria to be labeled as alcoholic. In addition, surveys have shown that college students tend to drink more than their peers who do not attend college. You want to test to see if there are differences in excessive alcohol use in young adults that attend college versus those who do not, so you surveyed 405 young adults, age 19 to 22, about their alcohol use by asking the question, "Have you consumed alcohol to the point of intoxication at least once within the past month?" with the following results. Young Adults Attending College Young Adults Not Attending College n1 = 255 n2 = 150 y1 = 96 said "yes" y2 = 44 said "yes" p̂1 = 96 255 p̂2 = 44 150 (a) Calculate the test statistic. (Round your answer to two decimal places.) (b) If H0:…arrow_forward
- Distinguish between observational and experimental types of studies?arrow_forwardA researcher notes that there seems to be a difference in the prevalence of high cholesterol among individuals who smoke and consume diets high in processed food and the prevalence of high cholesterol among individuals who do not smoke and do not consume diets high in processed foods. Use the appropriate hypothesis to determine if diet and smoking status are related (independent) at the 5%. This is the first step in determining if confounding has influenced the study’s results. Then interpret your response. Diet Low in Processed Foods Normal Cholesterol High Cholesterol Total Non-smoker 124 55 179 Smoker 69 152 221 Total 193 207 400 Diet High in Processed Foods Normal Cholesterol High Cholesterol Total Non-smoker 64 85 149 Smoker 98 153 251 Total 162 238 400 A) The chi square value of 4.65 is higher than the chi square value of 3.84, therefore we can accept H0 at the 5% level and reject…arrow_forwardU.S. Department of Transportation As an auto insurance risk analyst, it is your job to research risk profiles for various types of drivers. One common area of concern for auto insurance companies is the risk involved when offering policies to younger, less experienced drivers. The U.S. Department of Transportation recently conducted a study in which it analyzed the relationship between 1) the number of fatal accidents per 1000 licenses, and 2) the percentage of licensed drivers under the age of 21 in a sample of 42 cities. Your first step in the analysis is to construct a scatterplot of the data. FIGURE. SCATTERPLOT FOR U.S. DEPARTMENT OF TRANSPORATION PROBLEM U.S. Department of Transportation The Relationship Between Fatal Accident Frequency and Driver Age 4.5 4. 3.5 3. 2.5 1.5 0.5 0. 6. 8 10 12 14 16 18 20 Percentage of drivers under age 21 pon visual inspection, you determine that the variables do have a linear relationship. After a linear pattern has been established visually, you…arrow_forward
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