Germs. In a Wakefield Research survey, 1003 subjects were asked if they ever hesitated to give a handshake because of a fear of germs. Of these respondents, 41.0% answered “yes.” a. What is the number of respondents who answered “yes”? b. If 24 of the respondents said that they were not sure, what is the percentage of “not sure” responses? c. Given that the possible responses are “yes,” “no,” and “not sure,” are the data considered quantitative or qualitative? What is the level of measurement of those responses (nominal, ordinal, interval, or ratio)? d. Given that the survey was sponsored by Purell, a manufacturer of hand sanitizer products, is there any reason to question the results?

Question

Want to see more full solutions like this?

Answer 1

Textbook Question

Chapter 2, Problem 1CRE

Germs. In a Wakefield Research survey, 1003 subjects were asked if they ever hesitated to give a handshake because of a fear of germs. Of these respondents, 41.0% answered “yes.”

a. What is the number of respondents who answered “yes”?
b. If 24 of the respondents said that they were not sure, what is the percentage of “not sure” responses?
c. Given that the possible responses are “yes,” “no,” and “not sure,” are the data considered quantitative or qualitative? What is the level of measurement of those responses (nominal, ordinal, interval, or ratio)?
d. Given that the survey was sponsored by Purell, a manufacturer of hand sanitizer products, is there any reason to question the results?

a.

Expert Solution

To determine

Find the number of respondents who answered “yes”.

Answer to Problem 1CRE

The number of respondents who answered “yes” is 412.

Explanation of Solution

Calculation:

In a Wakefield Research survey, of 1,003 subjects 41% said “yes” for the question “if ever hesitated to give handshake because of a fear of germs”.

Denote x as the actual number of respondents.

The actual number of respondents is:

x=Percentage×Sample size=41%×1,003=41100×1,003=41,123100=411.23≈412

Thus, the actual number of respondents is 412.

b.

Expert Solution

To determine

Find the percentage of respondents who answered “not sure”.

Answer to Problem 1CRE

The percentage of respondents who answered “not sure” is 2.4%.

Explanation of Solution

Calculation:

The of the respondents said that they were not sure.

The percentage of respondents who answered “not sure” is:

Percentage=xsample size×100%=241,003×100%=0.024×100%≈2.4%

Thus, the percentage of respondents who answered “not sure” is 2.4.

c.

Expert Solution

To determine

State whether the data considered as quantitative or qualitative.

Identify the measurement level as nominal, ordinal, interval or ratio for the given responses.

Answer to Problem 1CRE

The data is considered as qualitative.

The level of measurement is nominal.

Explanation of Solution

The given responses are, “yes”, “no” and “not sure”.

Qualitative data:

Qualitative data are those in which the data values contains non-numerical entries or categories such as gender, eye color, left handed or right handed etc.

Quantitative data:

Quantitative data are basically numerical values and those values are the representation of counts or measurements.

Here, the given data is qualitative because the responses are categorical and non-numeric. That is, the given responses, “yes”, “no” and “not sure” are not counted or measured.

Thus, the data is considered as qualitative.

Nominal measurement:

Nominal measurement is the most basic form of measurement that names or categorizes or classifies data. It is the weakest and easiest form of measurement.

Ordinal measurement:

Ordinal measurement is the measurement that ranks the data in a logical manner. It can be used when a natural ordering is present in the data to give the relative position of one object with respect to another. Numerical values can be assigned to the orders of the data, even when the data values are not naturally numerical. The properties of nominal measurement are applicable for ordinal measurement.

Interval measurement:

Interval measurement is the measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement does not have a meaningful “zero” value. However, the difference between any two points on the scale is meaningful. The operations of addition and subtraction on this scale are meaningful. The properties of nominal and ordinal measurements are applicable for interval measurement.

Ratio measurement:

Ratio measurement is the strongest form of measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement has a meaningful “zero” value. The operations of addition, subtraction, multiplication and division on this scale are meaningful. The properties of nominal, ordinal and interval measurements are applicable for ratio measurement.

The responses of the individuals are categorized into “yes”, “no” and “not sure”. The responses cannot be ranked in any logical order.

Hence, the data has nominal measurement level.

d.

Expert Solution

To determine

Explain whether there is any reason to question the obtained results.

Answer to Problem 1CRE

Yes, there is reason for the sponsor to question the obtained results.

Explanation of Solution

It is given that the survey was sponsored by Purell, a manufacturer of hand sanitizer.

The sponsor may have possibilities to have favorable results. Because somehow the sponsor may have the financial interest in the results obtained in favor to hand sanitizer products.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Students have asked these similar questions

According to an economist from a financial company, the average expenditures on "furniture and household appliances" have been lower for households in the Montreal area than those in the Quebec region. A random sample of 14 households from the Montreal region and 16 households from the Quebec region was taken, providing the following data regarding expenditures in this economic sector. It is assumed that the data from each population are distributed normally. We are interested in knowing if the variances of the populations are equal. a) Perform the appropriate hypothesis test on two variances at a significance level of 1%. Include the following information: i. Hypothesis / Identification of populations ii. Critical F-value(s) iii. Decision rule iv. F-ratio value v. Decision and conclusion b) Based on the results obtained in a), is the hypothesis of equal variances for this socio-economic characteristic measured in these two populations upheld? c) Based on the results obtained in a),…

A major company in the Montreal area, offering a range of engineering services from project preparation to construction execution, and industrial project management, wants to ensure that the individuals who are responsible for project cost estimation and bid preparation demonstrate a certain uniformity in their estimates. The head of civil engineering and municipal services decided to structure an experimental plan to detect if there could be significant differences in project evaluation. Seven projects were selected, each of which had to be evaluated by each of the two estimators, with the order of the projects submitted being random. The obtained estimates are presented in the table below. a) Complete the table above by calculating: i. The differences (A-B) ii. The sum of the differences iii. The mean of the differences iv. The standard deviation of the differences b) What is the value of the t-statistic? c) What is the critical t-value for this test at a significance level of 1%?…

Compute the relative risk of falling for the two groups (did not stop walking vs. did stop). State/interpret your result verbally.

Answer 2

Textbook Question

Chapter 2, Problem 1CRE

Germs. In a Wakefield Research survey, 1003 subjects were asked if they ever hesitated to give a handshake because of a fear of germs. Of these respondents, 41.0% answered “yes.”

a. What is the number of respondents who answered “yes”?
b. If 24 of the respondents said that they were not sure, what is the percentage of “not sure” responses?
c. Given that the possible responses are “yes,” “no,” and “not sure,” are the data considered quantitative or qualitative? What is the level of measurement of those responses (nominal, ordinal, interval, or ratio)?
d. Given that the survey was sponsored by Purell, a manufacturer of hand sanitizer products, is there any reason to question the results?

a.

Expert Solution

To determine

Find the number of respondents who answered “yes”.

Answer to Problem 1CRE

The number of respondents who answered “yes” is 412.

Explanation of Solution

Calculation:

In a Wakefield Research survey, of 1,003 subjects 41% said “yes” for the question “if ever hesitated to give handshake because of a fear of germs”.

Denote x as the actual number of respondents.

The actual number of respondents is:

x=Percentage×Sample size=41%×1,003=41100×1,003=41,123100=411.23≈412

Thus, the actual number of respondents is 412.

b.

Expert Solution

To determine

Find the percentage of respondents who answered “not sure”.

Answer to Problem 1CRE

The percentage of respondents who answered “not sure” is 2.4%.

Explanation of Solution

Calculation:

The of the respondents said that they were not sure.

The percentage of respondents who answered “not sure” is:

Percentage=xsample size×100%=241,003×100%=0.024×100%≈2.4%

Thus, the percentage of respondents who answered “not sure” is 2.4.

c.

Expert Solution

To determine

State whether the data considered as quantitative or qualitative.

Identify the measurement level as nominal, ordinal, interval or ratio for the given responses.

Answer to Problem 1CRE

The data is considered as qualitative.

The level of measurement is nominal.

Explanation of Solution

The given responses are, “yes”, “no” and “not sure”.

Qualitative data:

Qualitative data are those in which the data values contains non-numerical entries or categories such as gender, eye color, left handed or right handed etc.

Quantitative data:

Quantitative data are basically numerical values and those values are the representation of counts or measurements.

Here, the given data is qualitative because the responses are categorical and non-numeric. That is, the given responses, “yes”, “no” and “not sure” are not counted or measured.

Thus, the data is considered as qualitative.

Nominal measurement:

Nominal measurement is the most basic form of measurement that names or categorizes or classifies data. It is the weakest and easiest form of measurement.

Ordinal measurement:

Ordinal measurement is the measurement that ranks the data in a logical manner. It can be used when a natural ordering is present in the data to give the relative position of one object with respect to another. Numerical values can be assigned to the orders of the data, even when the data values are not naturally numerical. The properties of nominal measurement are applicable for ordinal measurement.

Interval measurement:

Interval measurement is the measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement does not have a meaningful “zero” value. However, the difference between any two points on the scale is meaningful. The operations of addition and subtraction on this scale are meaningful. The properties of nominal and ordinal measurements are applicable for interval measurement.

Ratio measurement:

Ratio measurement is the strongest form of measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement has a meaningful “zero” value. The operations of addition, subtraction, multiplication and division on this scale are meaningful. The properties of nominal, ordinal and interval measurements are applicable for ratio measurement.

The responses of the individuals are categorized into “yes”, “no” and “not sure”. The responses cannot be ranked in any logical order.

Hence, the data has nominal measurement level.

d.

Expert Solution

To determine

Explain whether there is any reason to question the obtained results.

Answer to Problem 1CRE

Yes, there is reason for the sponsor to question the obtained results.

Explanation of Solution

It is given that the survey was sponsored by Purell, a manufacturer of hand sanitizer.

The sponsor may have possibilities to have favorable results. Because somehow the sponsor may have the financial interest in the results obtained in favor to hand sanitizer products.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 3

Textbook Question

Chapter 2, Problem 1CRE

Germs. In a Wakefield Research survey, 1003 subjects were asked if they ever hesitated to give a handshake because of a fear of germs. Of these respondents, 41.0% answered “yes.”

a. What is the number of respondents who answered “yes”?
b. If 24 of the respondents said that they were not sure, what is the percentage of “not sure” responses?
c. Given that the possible responses are “yes,” “no,” and “not sure,” are the data considered quantitative or qualitative? What is the level of measurement of those responses (nominal, ordinal, interval, or ratio)?
d. Given that the survey was sponsored by Purell, a manufacturer of hand sanitizer products, is there any reason to question the results?

a.

Expert Solution

To determine

Find the number of respondents who answered “yes”.

Answer to Problem 1CRE

The number of respondents who answered “yes” is 412.

Explanation of Solution

Calculation:

In a Wakefield Research survey, of 1,003 subjects 41% said “yes” for the question “if ever hesitated to give handshake because of a fear of germs”.

Denote x as the actual number of respondents.

The actual number of respondents is:

x=Percentage×Sample size=41%×1,003=41100×1,003=41,123100=411.23≈412

Thus, the actual number of respondents is 412.

b.

Expert Solution

To determine

Find the percentage of respondents who answered “not sure”.

Answer to Problem 1CRE

The percentage of respondents who answered “not sure” is 2.4%.

Explanation of Solution

Calculation:

The of the respondents said that they were not sure.

The percentage of respondents who answered “not sure” is:

Percentage=xsample size×100%=241,003×100%=0.024×100%≈2.4%

Thus, the percentage of respondents who answered “not sure” is 2.4.

c.

Expert Solution

To determine

State whether the data considered as quantitative or qualitative.

Identify the measurement level as nominal, ordinal, interval or ratio for the given responses.

Answer to Problem 1CRE

The data is considered as qualitative.

The level of measurement is nominal.

Explanation of Solution

The given responses are, “yes”, “no” and “not sure”.

Qualitative data:

Qualitative data are those in which the data values contains non-numerical entries or categories such as gender, eye color, left handed or right handed etc.

Quantitative data:

Quantitative data are basically numerical values and those values are the representation of counts or measurements.

Here, the given data is qualitative because the responses are categorical and non-numeric. That is, the given responses, “yes”, “no” and “not sure” are not counted or measured.

Thus, the data is considered as qualitative.

Nominal measurement:

Nominal measurement is the most basic form of measurement that names or categorizes or classifies data. It is the weakest and easiest form of measurement.

Ordinal measurement:

Ordinal measurement is the measurement that ranks the data in a logical manner. It can be used when a natural ordering is present in the data to give the relative position of one object with respect to another. Numerical values can be assigned to the orders of the data, even when the data values are not naturally numerical. The properties of nominal measurement are applicable for ordinal measurement.

Interval measurement:

Interval measurement is the measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement does not have a meaningful “zero” value. However, the difference between any two points on the scale is meaningful. The operations of addition and subtraction on this scale are meaningful. The properties of nominal and ordinal measurements are applicable for interval measurement.

Ratio measurement:

Ratio measurement is the strongest form of measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement has a meaningful “zero” value. The operations of addition, subtraction, multiplication and division on this scale are meaningful. The properties of nominal, ordinal and interval measurements are applicable for ratio measurement.

The responses of the individuals are categorized into “yes”, “no” and “not sure”. The responses cannot be ranked in any logical order.

Hence, the data has nominal measurement level.

d.

Expert Solution

To determine

Explain whether there is any reason to question the obtained results.

Answer to Problem 1CRE

Yes, there is reason for the sponsor to question the obtained results.

Explanation of Solution

It is given that the survey was sponsored by Purell, a manufacturer of hand sanitizer.

The sponsor may have possibilities to have favorable results. Because somehow the sponsor may have the financial interest in the results obtained in favor to hand sanitizer products.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 4

Textbook Question

Chapter 2, Problem 1CRE

Germs. In a Wakefield Research survey, 1003 subjects were asked if they ever hesitated to give a handshake because of a fear of germs. Of these respondents, 41.0% answered “yes.”

a. What is the number of respondents who answered “yes”?
b. If 24 of the respondents said that they were not sure, what is the percentage of “not sure” responses?
c. Given that the possible responses are “yes,” “no,” and “not sure,” are the data considered quantitative or qualitative? What is the level of measurement of those responses (nominal, ordinal, interval, or ratio)?
d. Given that the survey was sponsored by Purell, a manufacturer of hand sanitizer products, is there any reason to question the results?

a.

Expert Solution

To determine

Find the number of respondents who answered “yes”.

Answer to Problem 1CRE

The number of respondents who answered “yes” is 412.

Explanation of Solution

Calculation:

In a Wakefield Research survey, of 1,003 subjects 41% said “yes” for the question “if ever hesitated to give handshake because of a fear of germs”.

Denote x as the actual number of respondents.

The actual number of respondents is:

x=Percentage×Sample size=41%×1,003=41100×1,003=41,123100=411.23≈412

Thus, the actual number of respondents is 412.

b.

Expert Solution

To determine

Find the percentage of respondents who answered “not sure”.

Answer to Problem 1CRE

The percentage of respondents who answered “not sure” is 2.4%.

Explanation of Solution

Calculation:

The of the respondents said that they were not sure.

The percentage of respondents who answered “not sure” is:

Percentage=xsample size×100%=241,003×100%=0.024×100%≈2.4%

Thus, the percentage of respondents who answered “not sure” is 2.4.

c.

Expert Solution

To determine

State whether the data considered as quantitative or qualitative.

Identify the measurement level as nominal, ordinal, interval or ratio for the given responses.

Answer to Problem 1CRE

The data is considered as qualitative.

The level of measurement is nominal.

Explanation of Solution

The given responses are, “yes”, “no” and “not sure”.

Qualitative data:

Qualitative data are those in which the data values contains non-numerical entries or categories such as gender, eye color, left handed or right handed etc.

Quantitative data:

Quantitative data are basically numerical values and those values are the representation of counts or measurements.

Here, the given data is qualitative because the responses are categorical and non-numeric. That is, the given responses, “yes”, “no” and “not sure” are not counted or measured.

Thus, the data is considered as qualitative.

Nominal measurement:

Nominal measurement is the most basic form of measurement that names or categorizes or classifies data. It is the weakest and easiest form of measurement.

Ordinal measurement:

Ordinal measurement is the measurement that ranks the data in a logical manner. It can be used when a natural ordering is present in the data to give the relative position of one object with respect to another. Numerical values can be assigned to the orders of the data, even when the data values are not naturally numerical. The properties of nominal measurement are applicable for ordinal measurement.

Interval measurement:

Interval measurement is the measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement does not have a meaningful “zero” value. However, the difference between any two points on the scale is meaningful. The operations of addition and subtraction on this scale are meaningful. The properties of nominal and ordinal measurements are applicable for interval measurement.

Ratio measurement:

Ratio measurement is the strongest form of measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement has a meaningful “zero” value. The operations of addition, subtraction, multiplication and division on this scale are meaningful. The properties of nominal, ordinal and interval measurements are applicable for ratio measurement.

The responses of the individuals are categorized into “yes”, “no” and “not sure”. The responses cannot be ranked in any logical order.

Hence, the data has nominal measurement level.

d.

Expert Solution

To determine

Explain whether there is any reason to question the obtained results.

Answer to Problem 1CRE

Yes, there is reason for the sponsor to question the obtained results.

Explanation of Solution

It is given that the survey was sponsored by Purell, a manufacturer of hand sanitizer.

The sponsor may have possibilities to have favorable results. Because somehow the sponsor may have the financial interest in the results obtained in favor to hand sanitizer products.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 5

Textbook Question

Answer 6

Textbook Question

Answer 7

a.

Expert Solution

To determine

Find the number of respondents who answered “yes”.

Answer to Problem 1CRE

The number of respondents who answered “yes” is 412.

Explanation of Solution

Calculation:

In a Wakefield Research survey, of 1,003 subjects 41% said “yes” for the question “if ever hesitated to give handshake because of a fear of germs”.

Denote x as the actual number of respondents.

The actual number of respondents is:

x=Percentage×Sample size=41%×1,003=41100×1,003=41,123100=411.23≈412

Thus, the actual number of respondents is 412.

b.

Expert Solution

To determine

Find the percentage of respondents who answered “not sure”.

Answer to Problem 1CRE

The percentage of respondents who answered “not sure” is 2.4%.

Explanation of Solution

Calculation:

The of the respondents said that they were not sure.

The percentage of respondents who answered “not sure” is:

Percentage=xsample size×100%=241,003×100%=0.024×100%≈2.4%

Thus, the percentage of respondents who answered “not sure” is 2.4.

c.

Expert Solution

To determine

State whether the data considered as quantitative or qualitative.

Identify the measurement level as nominal, ordinal, interval or ratio for the given responses.

Answer to Problem 1CRE

The data is considered as qualitative.

The level of measurement is nominal.

Explanation of Solution

The given responses are, “yes”, “no” and “not sure”.

Qualitative data:

Qualitative data are those in which the data values contains non-numerical entries or categories such as gender, eye color, left handed or right handed etc.

Quantitative data:

Quantitative data are basically numerical values and those values are the representation of counts or measurements.

Here, the given data is qualitative because the responses are categorical and non-numeric. That is, the given responses, “yes”, “no” and “not sure” are not counted or measured.

Thus, the data is considered as qualitative.

Nominal measurement:

Nominal measurement is the most basic form of measurement that names or categorizes or classifies data. It is the weakest and easiest form of measurement.

Ordinal measurement:

Ordinal measurement is the measurement that ranks the data in a logical manner. It can be used when a natural ordering is present in the data to give the relative position of one object with respect to another. Numerical values can be assigned to the orders of the data, even when the data values are not naturally numerical. The properties of nominal measurement are applicable for ordinal measurement.

Interval measurement:

Interval measurement is the measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement does not have a meaningful “zero” value. However, the difference between any two points on the scale is meaningful. The operations of addition and subtraction on this scale are meaningful. The properties of nominal and ordinal measurements are applicable for interval measurement.

Ratio measurement:

Ratio measurement is the strongest form of measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement has a meaningful “zero” value. The operations of addition, subtraction, multiplication and division on this scale are meaningful. The properties of nominal, ordinal and interval measurements are applicable for ratio measurement.

The responses of the individuals are categorized into “yes”, “no” and “not sure”. The responses cannot be ranked in any logical order.

Hence, the data has nominal measurement level.

d.

Expert Solution

To determine

Explain whether there is any reason to question the obtained results.

Answer to Problem 1CRE

Yes, there is reason for the sponsor to question the obtained results.

Explanation of Solution

It is given that the survey was sponsored by Purell, a manufacturer of hand sanitizer.

The sponsor may have possibilities to have favorable results. Because somehow the sponsor may have the financial interest in the results obtained in favor to hand sanitizer products.

Answer 8

a.

Expert Solution

To determine

Find the number of respondents who answered “yes”.

Answer to Problem 1CRE

The number of respondents who answered “yes” is 412.

Explanation of Solution

Calculation:

In a Wakefield Research survey, of 1,003 subjects 41% said “yes” for the question “if ever hesitated to give handshake because of a fear of germs”.

Denote x as the actual number of respondents.

The actual number of respondents is:

x=Percentage×Sample size=41%×1,003=41100×1,003=41,123100=411.23≈412

Thus, the actual number of respondents is 412.

Answer 9

a.

Expert Solution

Answer 10

a.

Expert Solution

Answer 11

Expert Solution

Answer 12

To determine

Find the number of respondents who answered “yes”.

Answer 13

Answer to Problem 1CRE

The number of respondents who answered “yes” is 412.

Answer 14

Explanation of Solution

Calculation:

In a Wakefield Research survey, of 1,003 subjects 41% said “yes” for the question “if ever hesitated to give handshake because of a fear of germs”.

Denote x as the actual number of respondents.

The actual number of respondents is:

x=Percentage×Sample size=41%×1,003=41100×1,003=41,123100=411.23≈412

Thus, the actual number of respondents is 412.

Answer 15

b.

Expert Solution

To determine

Find the percentage of respondents who answered “not sure”.

Answer to Problem 1CRE

The percentage of respondents who answered “not sure” is 2.4%.

Explanation of Solution

Calculation:

The of the respondents said that they were not sure.

The percentage of respondents who answered “not sure” is:

Percentage=xsample size×100%=241,003×100%=0.024×100%≈2.4%

Thus, the percentage of respondents who answered “not sure” is 2.4.

Answer 16

b.

Expert Solution

Answer 17

b.

Expert Solution

Answer 18

Expert Solution

Answer 19

To determine

Find the percentage of respondents who answered “not sure”.

Answer 20

Answer to Problem 1CRE

The percentage of respondents who answered “not sure” is 2.4%.

Answer 21

Explanation of Solution

Calculation:

The of the respondents said that they were not sure.

The percentage of respondents who answered “not sure” is:

Percentage=xsample size×100%=241,003×100%=0.024×100%≈2.4%

Thus, the percentage of respondents who answered “not sure” is 2.4.

Answer 22

c.

Expert Solution

To determine

State whether the data considered as quantitative or qualitative.

Identify the measurement level as nominal, ordinal, interval or ratio for the given responses.

Answer to Problem 1CRE

The data is considered as qualitative.

The level of measurement is nominal.

Explanation of Solution

The given responses are, “yes”, “no” and “not sure”.

Qualitative data:

Qualitative data are those in which the data values contains non-numerical entries or categories such as gender, eye color, left handed or right handed etc.

Quantitative data:

Quantitative data are basically numerical values and those values are the representation of counts or measurements.

Here, the given data is qualitative because the responses are categorical and non-numeric. That is, the given responses, “yes”, “no” and “not sure” are not counted or measured.

Thus, the data is considered as qualitative.

Nominal measurement:

Nominal measurement is the most basic form of measurement that names or categorizes or classifies data. It is the weakest and easiest form of measurement.

Ordinal measurement:

Ordinal measurement is the measurement that ranks the data in a logical manner. It can be used when a natural ordering is present in the data to give the relative position of one object with respect to another. Numerical values can be assigned to the orders of the data, even when the data values are not naturally numerical. The properties of nominal measurement are applicable for ordinal measurement.

Interval measurement:

Interval measurement is the measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement does not have a meaningful “zero” value. However, the difference between any two points on the scale is meaningful. The operations of addition and subtraction on this scale are meaningful. The properties of nominal and ordinal measurements are applicable for interval measurement.

Ratio measurement:

Ratio measurement is the strongest form of measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement has a meaningful “zero” value. The operations of addition, subtraction, multiplication and division on this scale are meaningful. The properties of nominal, ordinal and interval measurements are applicable for ratio measurement.

The responses of the individuals are categorized into “yes”, “no” and “not sure”. The responses cannot be ranked in any logical order.

Hence, the data has nominal measurement level.

Answer 23

c.

Expert Solution

Answer 24

c.

Expert Solution

Answer 25

Expert Solution

Answer 26

To determine

State whether the data considered as quantitative or qualitative.

Identify the measurement level as nominal, ordinal, interval or ratio for the given responses.

Answer 27

Answer to Problem 1CRE

The data is considered as qualitative.

The level of measurement is nominal.

Answer 28

Explanation of Solution

The given responses are, “yes”, “no” and “not sure”.

Qualitative data:

Qualitative data are those in which the data values contains non-numerical entries or categories such as gender, eye color, left handed or right handed etc.

Quantitative data:

Quantitative data are basically numerical values and those values are the representation of counts or measurements.

Here, the given data is qualitative because the responses are categorical and non-numeric. That is, the given responses, “yes”, “no” and “not sure” are not counted or measured.

Thus, the data is considered as qualitative.

Nominal measurement:

Nominal measurement is the most basic form of measurement that names or categorizes or classifies data. It is the weakest and easiest form of measurement.

Ordinal measurement:

Ordinal measurement is the measurement that ranks the data in a logical manner. It can be used when a natural ordering is present in the data to give the relative position of one object with respect to another. Numerical values can be assigned to the orders of the data, even when the data values are not naturally numerical. The properties of nominal measurement are applicable for ordinal measurement.

Interval measurement:

Interval measurement is the measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement does not have a meaningful “zero” value. However, the difference between any two points on the scale is meaningful. The operations of addition and subtraction on this scale are meaningful. The properties of nominal and ordinal measurements are applicable for interval measurement.

Ratio measurement:

Ratio measurement is the strongest form of measurement that can be applied to data that naturally occur in the numerical form and counting of these values is logical. This scale of measurement has a meaningful “zero” value. The operations of addition, subtraction, multiplication and division on this scale are meaningful. The properties of nominal, ordinal and interval measurements are applicable for ratio measurement.

The responses of the individuals are categorized into “yes”, “no” and “not sure”. The responses cannot be ranked in any logical order.

Hence, the data has nominal measurement level.

Answer 29

d.

Expert Solution

To determine

Explain whether there is any reason to question the obtained results.

Answer to Problem 1CRE

Yes, there is reason for the sponsor to question the obtained results.

Explanation of Solution

It is given that the survey was sponsored by Purell, a manufacturer of hand sanitizer.

The sponsor may have possibilities to have favorable results. Because somehow the sponsor may have the financial interest in the results obtained in favor to hand sanitizer products.

Answer 30

d.

Expert Solution

Answer 31

d.

Expert Solution

Answer 32

Expert Solution

Answer 33

To determine

Explain whether there is any reason to question the obtained results.

Answer 34

Answer to Problem 1CRE

Yes, there is reason for the sponsor to question the obtained results.

Answer 35

Explanation of Solution

It is given that the survey was sponsored by Purell, a manufacturer of hand sanitizer.

The sponsor may have possibilities to have favorable results. Because somehow the sponsor may have the financial interest in the results obtained in favor to hand sanitizer products.