“Number of times per week” is what type of data?

a. qualitative(categorical); b. quantitative discrete; c. quantitative continuous

Short Answer

Expert verified

“Number of times per week” is a quantitative discrete type of data, hence, option b is the correct answer.

Step by step solution

01

Concept Introduction

A variable is a type of data and it can be of qualitative, quantitative discrete, or quantitative continuous type based on the given data in statistics.

02

Explanation

A qualitative variable is one that assigns categories to the variable as a value. The variable gender, for example, is a qualitative variable since it assigns male or female categories to the variable gender.

A quantitative discrete variable is one that assigns values that has a definite number of values. Quantitative discrete variables include things like the number of students in a class and the number of days in a month.

A quantitative continuous variable is one that assigns values that have an infinite number of possible values. A quantitative continuous variable is, for example, the weight of students in a class or the distance between two cities.

"Number of times per week" is the variable in the given question.

As a week has a definite number of days which is 7, the given data is a quantitative discrete variable.

03

Final answer

The given data “Number of times per week” is of a quantitative discrete type.

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Most popular questions from this chapter

In advance of the 1936Presidential Election, a magazine titled Literary Digest released the results of an opinion poll predicting that the republican candidate Alf Landon would win by a large margin. The magazine sent post cards to approximately 10,000,000prospective voters. These prospective voters were selected from the subscription list of the magazine, from automobile registration lists, from phone lists, and from club membership lists. Approximately 2,300,000people returned the postcards.

a. Think about the state of the United States in 1936. Explain why a sample chosen from magazine subscription lists, automobile registration lists, phone books, and club membership lists was not representative of the population of the United States at that time.

b. What effect does the low response rate have on the reliability of the sample?

c. Are these problems examples of sampling error or non sampling error?

d. During the same year, George Gallup conducted his own poll of 30,000prospective voters. These researchers used a method they called "quota sampling" to obtain survey answers from specific subsets of the population. Quota sampling is an example of which sampling method described in this module?

Describe the unethical behavior, if any, in each example and describe how it could impact the reliability of the resulting data. Explain how the problem should be corrected. A study is commissioned to determine the favorite brand of fruit juice among teens in California.

  1. The survey is commissioned by the seller of a popular brand of apple juice.
  2. There are only two types of juice included in the study: apple juice and cranberry juice.
  3. Researchers allow participants to see the brand of juice as samples are poured for a taste test.
  4. Twenty-five percent of participants prefer Brand X, 33% prefer Brand Y and 42% have no preference between the two brands. Brand X references the study in a commercial saying "Most teens like Brand X as much as or more than Brand Y."

A marketing company is interested in the proportion of people who will buy a particular product.

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. time in line to buy groceries.

A “random survey” was conducted of 3,274people of the “microprocessor generation” (people born since 1971, the year the microprocessor was invented). It was reported that 48% of those individuals surveyed stated that if they had $2,000to spend, they would use it for computer equipment. Also, 66%of those surveyed considered themselves relatively savvy computer users.

a. Do you consider the sample size large enough for a study of this type? Why or why not?

b. Based on your “gut feeling,” do you believe the percents accurately reflect the U.S. population for those individuals born since 1971? If not, do you think the percents of the population are actually higher or lower than the sample statistics? Why? Additional information: The survey, reported by Intel Corporation, was filled out by individuals who visited the Los Angeles Convention Center to see the Smithsonian Institute's road show called “America’s Smithsonian.”

c. With this additional information, do you feel that all demographic and ethnic groups were equally represented at the event? Why or why not?

d. With the additional information, comment on how accurately you think the sample statistics reflect the population parameters

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