Question

In: Statistics and Probability

Frequency of individuals in 3 categories of smoking at baseline by age group. Age Group Extent...

Frequency of individuals in 3 categories of smoking at baseline by age group.

Age Group

Extent to Which People Smoke

Non-

Smoker

Light-

Smoker

Heavy-

Smoker

30-39

302

186

58

40-49

684

367

565

50-59

812

230

319

Im having trouble determining the type of study design, correct variables and variable types, as well as correct predictor and outcome variables.

Solutions

Expert Solution

(1)

Type of Study: One Way Analysis of Variance (ANOVA) to find out whether there is significant difference between mean Extent to Which People Smoke among the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59 as follows:

H0: Null Hypothesis: (There is no significant difference between mean Extent to Which People Smoke among the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59)

HA: Alternative Hypothesis: (There is a significant difference between mean Extent to Which People Smoke among the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59)

(2)

Correct Variablues:

Independent Variable: the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59. Variable type: Categorical

Dependent Variable: Extent to Which People Smoke Variable type: Quantitative

(3)

Predictor Variable: the 3 Age Groups: 30 - 39, 40 - 49 and 50 - 59. Variable type: Categorical

Outcome Variable: Extent to Which People Smoke Variable type: Quantitative


Related Solutions

A researcher intended to investigate the potential association between Age Group and Smoking Status. He collected...
A researcher intended to investigate the potential association between Age Group and Smoking Status. He collected data from 575 participants. The data was summarized in Table 2. Was the data in support of a statistically significant association between Age Group and Smoking Status? The significance level was 0.05. How do you determine the expected levels in the chi test? Table . Age Group and Smoking Status Non smoker Occasional smoker Frequent smoker Younger than 35 23 45 35 35~50-years-old 33...
2. The extent to which an infant’s health is affected by parent’s smoking is an important...
2. The extent to which an infant’s health is affected by parent’s smoking is an important public concern. Measurements were taken both from a random sample of infants who had been exposed to household smoke and from a sample of unexposed infants. The following table lists data consists of observations on urinary concentration of cotinine, a major metabolite of nicotine. Unexposed 8 11 12 14 20 43 111 Exposed 35 56 83 92 128 150 176 208 a. Assuming that...
The expected frequency value for a cell in a One-Way Frequency Table in which the categories...
The expected frequency value for a cell in a One-Way Frequency Table in which the categories are equally likely is: The ratio between the total number of subjects in the sample and the number of categories The probability for that cell The product between the observed frequency value and the probability for that cell The same as the observed frequency value
E-Cigarettes and Smoking Age who are the stakeholders
E-Cigarettes and Smoking Age who are the stakeholders
Organize the following list of items into 3 main categories. Then group related ideas under those...
Organize the following list of items into 3 main categories. Then group related ideas under those categories. Finally put all items in logical order. When your outline is complete, rationalize/explain why you chose the ordering you chose. Qualifications No physical examination or health questions Guaranteed acceptance for all applicants Hospitalization Benefit is $100 a day Paid when hospitalization is the result of a motor vehicle or a common carrier accident Cash paid in addition to any other insurance carried Costs...
The following frequency distribution shows the ages of India’s 53 richest individuals. One of these individuals...
The following frequency distribution shows the ages of India’s 53 richest individuals. One of these individuals is selected at random. Ages Frequency 30 up to 40 8 40 up to 50 12 50 up to 60 11 60 up to 70 13 70 up to 80 9 a. What is the probability that the individual is between 50 and 60 years of age? (Round your answer to 3 decimal places.) Probability:_______ b. What is the probability that the individual is...
What would be the frequency of AABBCC individuals from a mating of two AaBbCc individuals? Select...
What would be the frequency of AABBCC individuals from a mating of two AaBbCc individuals? Select one: a. 1/64 b. 1/32 c. 1/8 d. 3/16 e. 1/4 f. 1/16
Choose a relevant public health topic of interest (e.g., HIV, smoking, obesity). Report the extent to...
Choose a relevant public health topic of interest (e.g., HIV, smoking, obesity). Report the extent to which this risk factor or health condition affects a specified population (e.g., males in the U.S.) using incidence and prevalence. Then find and report these measures to describe its burden in another population of your choice. Comment on potential differences; for instance, consider reasons for these differences or similarities and/or the implications of such.
to what extent was the period between 1870-1914 an age of anxiety
to what extent was the period between 1870-1914 an age of anxiety
Imagine that we conducted a survey and asked individuals about their education and their smoking habits....
Imagine that we conducted a survey and asked individuals about their education and their smoking habits. The results are below. Are these two variables correlated? If so, what are two potential confounding variables that would explain a statistically significant correlation between education and smoking habits? Explain. LESS EDUCATED MORE EDUCATED HEAVY SMOKER 15 3 LIGHT SMOKER 40 17 NON SMOKER 48 74
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT