Chapter One Homework Assignment
1. A _ includes all items of interest in a statistical problem.
2. Match each type of variable in the left column with its corresponding example
from the right
INTRODUCTION TO PROBABILITY QUIZ I
1. For an experiment in which a single die is rolled, the sample space may be cfw_1, 1, 2,
3, 4, 5.
2. Events are exhaustive if they do not share common outcomes of a sample space.
Chapter One Homework Two
1. The interval scale of measurement
-Is used to measure certain types of qualitative data
-Allows for the use of negative values*
-Is a weaker scale of measurement as compared to the nominal scale
-Allows for the construction of
Introduction to Probability Quiz II
The intersection of events A and B, denoted by
-Contains outcomes that are either in A or B
-Contains outcomes that are both in A and B*
-Does not contain outcomes that are either in A or B
-Does not contain out
1. A random variable is a function that assigns numerical values to the outcomes of
a random experiment.
2. A discrete random variable X may assume an (infinitely) uncountable number of
1. Exhibit 5-1. Consider the following discrete probability distribution.
Refer to Exhibit 5-1. What is the probability that X is less than 5?
2. Exhibit 5-5. The number of homes sold by a realtor during a month has the
1. Exhibit 5-6. The number of cars sold by a car salesman during each of the last 25 weeks is the following:
Refer to Exhibit 5-6. What is the expected number of cars sold by the salesman during a week?
2. Exhibit 5-6. The number of c
1. The median is not always the 50th percentile.
2. The MAD is a less effective measure of variation when compared with the average
deviation from the mean.
3. Is it possible for a data set to have no mode?
-Yes, if two
Students in Professor Smith's Business Statistics course have evaluated the overall effectiveness of the
professor's instruction on a five-point scale, where a score of 1 indicates very poor performance and a score
of 5 indicates outstanding per
1. Cross-sectional data contain values of a characteristic of one subject collected over
2. A professor's gender (male, female) as well as rank (assistant, associate, full)
represent ordinal data.
3. A profes