Question

1-A runs plot is a graphical technique for displaying data collected over different time periods.

Select one:

a. False

b. True

2 - ________________ is the science of using a sample to make generalizations about the important aspects of a population.

Select one:

a. Statistical Process Control

b. Random Sample

c. Statistical Inference

d. Descriptive Statistics

3- The two types of quantitative variables are:

Select one:

a. interval and ordinal.

b. ordinal and ratio.

c. nominative and ordinal.

4- Time series data are collected at the same or approximately the same point in time.

Select one:

a. True

b. False

d. nominative and interval.

5- ____________ are collected at the same or approximately the same point in time.

Select one:

a. Time series data

b. Cross-sectional data

c. Categorical data

d. Quantitative data

e. interval and ratio.

6- Which of the following is a quantitative variable?

Select one:

a. A person's gender

b. Whether a person is a college graduate

c. Whether a person has a charge account

d. The mileage of a car

e. The make of a TV

7- A subset of the elements of a population is a:

Select one:

a. sample.

b. variable.

c. census.

d. frame.

8- Any characteristic of a population unit is called a(n):

Select one:

a. variable.

b. observation.

c. measurement.

d. sample.

9- A person's telephone area code is an example of a(n) _______________ variable.

Select one:

a. nominative

b. ratio

c. ordinal

d. interval

10- Measurements from a population are called:

Select one:

a. variables.

b. observations.

c. statistics.

d. inferences.

Answer 1

1. A runs plot is a graphical technique for displaying data collected over different time periods - True

2. Statistical Inference is the science of using a sample to make generalizations about the important aspects of a population.

3. The two types of quantitative variables are: interval and ratio and two types of qualitative variables are nominative and ordinal.

4. Time series data are collected at the same or approximately the same point in time - False

5. Cross-sectional data are collected at the same or approximately the same point of time

6. The mileage of a car is a quantitative variable.

7. A subset of the elements of a population is a sample.

8. Any characteristic of a population unit is called a(n): variable.

9. A person's telephone area code is an example of a(n) nominative variable.

10. Measurements from a population are called observations.