Chapter 1: Q.34 (page 52)
Is a sample size of 1,000 a reliable measure for a population of 5,000?
Yes, for a population of 5000, a sample size of 1000 is a reliable metric.
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For the following exercises, identify the type of data that would be used to describe a response (quantitative discrete, quantitative continuous, or qualitative), and give an example of the data. number of students enrolled at Evergreen Valley College.
A local radio station has a fan base of listeners. The station wants to know if its audience would prefer
More music or more talk shows. Asking all listeners is an almost impossible task.
The station uses convenience sampling and surveys the first people they meet at one of the station’s music concert events. people said they’d prefer more talk shows, and 176 people said they’d prefer more music.
Do you think that this sample is representative of (or is characteristic of) the entire listener population?
A study was done to determine the age, number of times per week, and the duration (amount of time) of residents using a local park in San Jose. The first house in the neighborhood around the park was selected randomly and then every eighth house in the neighborhood around the park was interviewed. The sampling method was:
a. simple random
b. systematic
c. stratified
d. cluster
What type of measure scale is being used? Nominal, ordinal, interval or ratio.
a. High school soccer players classified by their athletic ability: Superior, Average, Above average
b. Baking temperatures for various main dishes: 350, 400, 325, 250, 300
c. The colors of crayons in a 24-crayon box
d. Social security numbers
e. Incomes measured in dollars
f. A satisfaction survey of a social website by number: 1 = very satisfied, 2 = somewhat satisfied, 3 = not satisfied
g. Political outlook: extreme left, left-of-center, right-of-center, extreme right
h. Time of day on an analog watch
i. The distance in miles to the closest grocery store
j. The dates 1066, 1492, 1644, 1947, and 1944
k. The heights of 21–65 year-old women
l. Common letter grades: A, B, C, D, and F
Design an experiment. Identify the explanatory and response variables. Describe the population being studied and the experimental units. Explain the treatments that will be used and how they will be assigned to the experimental units. Describe how blinding and placebos may be used to counter the power of suggestion.
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