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7nadin3 [17]
3 years ago
7

Many studies have found an association between red meat consumption and an increased risk of chronic diseases. What is the relat

ionship between red meat consumption and mortality? A large study followed 120,000 men and women who were free of coronary heart disease and cancer at the beginning of the study. Participants were asked detailed questions about their eating habits every four years, and the study spanned almost 30 years. It was found that the risk of dying at an early age—from heart disease, cancer, or any other cause, rises with the amount of red meat that they consumed.
A. Is this an observational study or an experiment?This is an observational studyThis is an experimentB. What are the explanatory and response variables?The explanatory variable is:____A. Red meat consumption.B. Whether or not a subject dies.The response variable is:____A. Red meat consumption.B. Whether or not a subject dies.
Mathematics
1 answer:
hoa [83]3 years ago
5 0

Answer:

1. This is an observational study.

2. The explanatory variable is A. red meat consumption

3. The response variable is B. Whether or not a subject dies.

Step-by-step explanation:

1. An observational study is a type of study where the researcher would observe the effects and he would also make no attempt to change the outcome

2. The explanatory variable is also called the independent variable and in this case it is red meat consumption because it is what would be used to predict the dependent variable

3. The response variable is known as the dependent variable it is our variable of interest. It is what the researcher is trying to find out. In this case the answer is whether or not the subject dies

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Step-by-step explanation:

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3 years ago
A researcher wishes to​ estimate, with 9090​% ​confidence, the proportion of adults who have​ high-speed Internet access. Her es
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Answer:  a) Required minimum sample size= 219

b) Required minimum sample size= 271

Step-by-step explanation:

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Margin of error : E= 5% =0.05

Critical z-value for 90% confidence interval : z_{\alpha/2}=1.645

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Formula to find the sample size :-

n=p(1-p)(\dfrac{z_{\alpha/2}}{E})^2\\\\=0.28(1-0.28)(\dfrac{1.645}{0.05})^2\\\\=218.213856\approx219

Required minimum sample size= 219

b) If no estimate of true proportion is given , then we assume p= 0.5

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