1. Define statistics.
2. Explain the difference between descriptive statistics and inferential
1. Distinguished between population and sample.
2. Determine whether the following statement is a population or a sample:
3. Which of each is a variable, element and measurement? List the data for the variable.
4. Determine whether the given value is a statistics or a parameter.
1. Distinguish between quantitative variables and qualitative variables. Provide one example for each variable.
2. Discuss the difference between discrete variables and continuous variables.
3. Classify the qualitative and quantitative variables:
4. Determine whether the given values are from discrete or continuous data set/variable.
5. What is the level of measurement reflected by the following data?
a) The age of each person in a sample of 50 adults who listen to one of the 1,230 talk radio stations in the United States is:
b) In a survey of 200 luxury-car owners, 100 were from California, 50 from New York, 30 from Illinois, and 20 from Ohio.
6. What is the level of measurement for each of the following variables?
a) Student IQ ratings.
b) Distance students travel to class.
c) Student scores on the first statistics test.
d) A classification of students by state of birth.
e) A ranking of students by freshman, sophomore, junior, and senior.