SophiaPretty

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    Strayer,Devery,Harvard University
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    WalMart
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Category > Engineering Posted 14 Oct 2017 My Price 8.00

I need help solving this problem using the programming language R.

Problem 3 Import the full lead study data from the comma separated file lead.csv, available on the course website, into R. 1. Use R to determine how many subjects there are, that is, how many different subject ids. 2. Using R commands, display the record (row of the data frame) for subject id 202. 3. Find the median, 25th and 75th percentiles, and interquartile range for the ages of the subjects in the study. Problem 4 This problem uses the the birthwt data from the MASS package in R. The variable low is a 0/1 indicator for low birth weight (below 2.5 kg). 1. Use R to make a frequency table for low birthweight (low==1) versus normal birthweight (low==0). 2. Make a relative frequency table for low versus normal birthweight. 3. Make a barplot of the relative frequencies of low versus normal birthweight. Problem 5 Identify the flaw or flaws in reasoning in the following scenarios. Explain what the individuals conducting the study could have done differently if they wanted to make such strong conclusions. 1. Students at an elementary school are given a questionnaire that they are asked to return after their parents have completed it. One of the questions asked is, “Do you find that your work schedule makes it difficult for you to spend time with your kids after school?” Of the parents who replied, 85% said “no”. Based on these results, the school officials conclude that a great majority of the parents have no difficulty spending time with their kids after school. 2. An orthopedist administers a questionnaire to 30 of his patients who do not have any joint problems and finds that 20 of them regularly go running. He concludes that running decreases the risk of joint problems. 2

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SophiaPretty
(5)
Status NEW Posted 14 Oct 2017 11:10 AM My Price 8.00

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