QUESTION 1

1. I am attempting to calculate Body Mass Index.  To collect the persons weight, I construct the following variable.

“Please report your height ___________”

Provide at least two different sources of error that are related to the manner in which the data is collected. (Think about what is being asked, and how the data is being collected.)

QUESTION 2

1. Given the following data      regarding lead-levels collected from a sample of houses in Flint, MI:

x=lead-levels   (ppb)

19.5

29.6

11.8

6.7

12.9

4.4

9.6

17.1

16.5

5.8

9.6

1. Calculate and report:
2. Mean
   Median
   Mode
   Range 

QUESTION 3

1. Based on your findings regarding the Mean, Median, and Mode, is it likely that our data is normally distributed or skewed?  If skewed, what direction?  Explain your reasoning (Do not insert into SPSS and run the descriptive statistics).

QUESTION 4

1. Given the data from the      previous question (q2), and assuming a normal distribution, 
   1. Determine the percentage of households in       Flint with lead levels exceeding the federal action level of 15 (ppb).

2. Identify the proportion of cities with lead levels between the federal action level and the state average of 10.52. 

There are, approximately, 40,362 households in Flint.  Of those households, how many would we anticipate to have lead levels below the federal action level?

QUESTION 5

1. We randomly select ten (10) surveys from a much larger, representative sample of older (65 and older) residents in United States.  What is the probability that two (2) of those surveys will indicate that the respondent has been diagnosed with Alzheimer’s, recognizing that 11.3% of all US residents 65 or older are living with Alzheimer”s dementia?

QUESTION 6

1. Determine the scale of      measurement (nominal, ordinal, interval, ratio) for each of the following      variables, and indicate whether (and how) you would code the variable      prior to data entry.
   1. Are you foreign-born resident?

       

   2. Satisfaction with COVID vaccine roll-out (very unsatisfied,       unsatisfied, indifferent, satisfied, very satisfied) ,,, Ordinal