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  1. Classify each variable as discrete or continuous:
    a. Lifetimes of batteries in a flashlight
    b. Weights of newborn infants at a certain hospital
    c. Number of pies baked each week at a bakery
    d. Number of pizzas sold in 2021 in Canada
    e. Incomes of single parents who attend York University
    f. Frequency of students shorter than 175 cm
  2. Identify an example for each of the following and explain your reasoning:
    a. Nominal data
    b. Ordinal data
    c. Interval data
    d. Ratio data
  3. In many advertisements for weight loss products, it is common to see small print claiming: “These results are not typical”. What does this say about the advertised product? Provide your answer in a short paragraph using appropriate statistical terminology.
  4. For the following studies, identify a potential confounding variable:
    a. A researcher at a busy intersection examines whether automobile colour is related to
    driving through red lights.
    b. A veterinarian divides a population of 30 dogs into two groups and has the owners feed
    their dogs diets specific to their group. After 6 months, the veterinarian wants to test for
    obesity differences between the two groups.
    c. Trees growing on a slope near a wetland are sampled for growth rate (biomass accumulation) to test whether there are differences among tree species.
  5. Describe cluster sampling and suggest a situation where this might be a viable option. Do not use the same examples as in your textbook’s definition. Provide an illustration.
  6. Compute the minimum, maximum, median, and mean values for the three variables in the
    assignment data and add them to the Worksheet in an appropriate manner with labels. Be sure to have the equations in your worksheet such that your TA can assess what you did. Where possible, create the equation from scratch rather than use the built-in forms.
  7. Produce a histogram for pore area using a bin size of 1000. Label appropriately and submit along with a paragraph describing the distribution.
  8. Produce a cumulative histogram for pore perimeter using an appropriate bin size. Label
    appropriately and submit along with a paragraph describing the distribution.

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