In a study, you ask the subjects their gender. Is this data qualitative or quantitative?

glamrockqueen7
2020-11-16
Answered

In a study, you ask the subjects their gender. Is this data qualitative or quantitative?

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izboknil3

Answered 2020-11-17
Author has **99** answers

Step 1

Qualitative and quantitative data:

Qualitative data:

Qualitative variable categories each individual to corresponding groups. It is used for classification of individuals based on some attributes or qualities or characteristics. Categorical variable is also called as qualitative variable or nominal variable. In other words it can be said that, a variable that is used for classification of individuals based on some attributes or qualities or characteristics are called categorical or qualitative variable.

Qualitative data are non-numerical measures such as characteristics, attributes or labels.

Quantitative data:

A variable that provides numerical values of individual and Arithmetic operations such as addition and subtraction produce meaningful results are called quantitative variables. A quantitative data contains measured numerical values with measurement units.

Step 2

Justify whether the data corresponding to gender of the subjects is a qualitative or quantitative data:

Here, the investigator asks the subjects about their gender and notes the gender of the respective subjects.

In general it is known that the gender will be in three types. That is: male, female and transgender.

The investigator categorizes the gender, which do not take natural numerical values. Even if some numerical values are assigned to this variable gender, such as (0 for transgender, 1 for male, 2 for female), arithmetic operations (addition, subtraction) on these values are meaningless. Thus, the variable gender is categorical or qualitative. The dataset of the qualitative variable will be qualitative dataset.

The entire dataset of the investigator contains male, female or transgender.This is a characteristic of the subjects.

Hence, the data corresponding to gender of the subjects is a qualitative.

Step 3

Answer:

The data corresponding to gender of the subjects is a qualitative data.

Qualitative and quantitative data:

Qualitative data:

Qualitative variable categories each individual to corresponding groups. It is used for classification of individuals based on some attributes or qualities or characteristics. Categorical variable is also called as qualitative variable or nominal variable. In other words it can be said that, a variable that is used for classification of individuals based on some attributes or qualities or characteristics are called categorical or qualitative variable.

Qualitative data are non-numerical measures such as characteristics, attributes or labels.

Quantitative data:

A variable that provides numerical values of individual and Arithmetic operations such as addition and subtraction produce meaningful results are called quantitative variables. A quantitative data contains measured numerical values with measurement units.

Step 2

Justify whether the data corresponding to gender of the subjects is a qualitative or quantitative data:

Here, the investigator asks the subjects about their gender and notes the gender of the respective subjects.

In general it is known that the gender will be in three types. That is: male, female and transgender.

The investigator categorizes the gender, which do not take natural numerical values. Even if some numerical values are assigned to this variable gender, such as (0 for transgender, 1 for male, 2 for female), arithmetic operations (addition, subtraction) on these values are meaningless. Thus, the variable gender is categorical or qualitative. The dataset of the qualitative variable will be qualitative dataset.

The entire dataset of the investigator contains male, female or transgender.This is a characteristic of the subjects.

Hence, the data corresponding to gender of the subjects is a qualitative.

Step 3

Answer:

The data corresponding to gender of the subjects is a qualitative data.

asked 2020-12-24

True or False

1.The goal of descriptive statistics is to simplify, summarize, and organize data.

2.A summary value, usually numerical, that describes a sample is called a parameter.

3.A researcher records the average age for a group of 25 preschool children selected to participate in a research study. The average age is an example of a statistic.

4.The median is the most commonly used measure of central tendency.

5.The mode is the best way to measure central tendency for data from a nominal scale of measurement.

6.A distribution of scores and a mean of 55 and a standard deviation of 4. The variance for this distribution is 16.

7.In a distribution with a mean of M = 36 and a standard deviation of SD = 8, a score of 40 would be considered an extreme value.

8.In a distribution with a mean of M = 76 and a standard deviation of SD = 7, a score of 91 would be considered an extreme value.

9.A negative correlation means that as the X values decrease, the Y values also tend to decrease.

10.The goal of a hypothesis test is to demonstrate that the patterns observed in the sample data represent real patterns in the population and are not simply due to chance or sampling error.

1.The goal of descriptive statistics is to simplify, summarize, and organize data.

2.A summary value, usually numerical, that describes a sample is called a parameter.

3.A researcher records the average age for a group of 25 preschool children selected to participate in a research study. The average age is an example of a statistic.

4.The median is the most commonly used measure of central tendency.

5.The mode is the best way to measure central tendency for data from a nominal scale of measurement.

6.A distribution of scores and a mean of 55 and a standard deviation of 4. The variance for this distribution is 16.

7.In a distribution with a mean of M = 36 and a standard deviation of SD = 8, a score of 40 would be considered an extreme value.

8.In a distribution with a mean of M = 76 and a standard deviation of SD = 7, a score of 91 would be considered an extreme value.

9.A negative correlation means that as the X values decrease, the Y values also tend to decrease.

10.The goal of a hypothesis test is to demonstrate that the patterns observed in the sample data represent real patterns in the population and are not simply due to chance or sampling error.

asked 2020-11-10

a) Overall, for what percent of patients was discharge delayed?

b) Were the percentages different for major and minor surgery?

c) Overall, what were the discharge delay rates at each hospital?

b) Were the percentages different for major and minor surgery?

c) Overall, what were the discharge delay rates at each hospital?

asked 2021-01-22

Consider the following research questions/study scenarios. For each study, discuss the most appropriate methods for describing the data (graphically and numerically). What statistical method would be most appropriate for addressing the research questions? Be sure to provide justification of the statistical method. Provide the appropriate regression model and statistical test when appropriate.

1.A study was performed to determine the differences in pain experienced by children with sickle cell disease (SCD) in inpatient and outpatient settings. Pain intensity (visual analog scale) was the primary outcome of interest, but potential confounders include age and physical activity.

1.A study was performed to determine the differences in pain experienced by children with sickle cell disease (SCD) in inpatient and outpatient settings. Pain intensity (visual analog scale) was the primary outcome of interest, but potential confounders include age and physical activity.

asked 2020-12-15

Data that can be sorted into distinct groups is called quantitative

1. True

2.False

1. True

2.False

asked 2020-11-26

Show whether the following is quantitative or qualitative data

i) Gender of students at a college

ii) Weight of babies at a hospital

iii) Colour of sweets in a box

iv) Number of students in a class

v) Colour of sweets in a box

i) Gender of students at a college

ii) Weight of babies at a hospital

iii) Colour of sweets in a box

iv) Number of students in a class

v) Colour of sweets in a box

asked 2021-01-06

In an exit poll during the 2004 presidential election, voters were asked to name the issue that most affected their vote for a candidate for presidency. The following table summarizes their responses.

Moral Values: 22%

Economy/jobs: 20%

Terrorism: 19%

Iraq: 15%

Health Care: 8%

Taxes: 5%

Education: 4%

As you will notice, these percentages add up to 93%. Assume that the remaining 7% of these voters names other issues and let us denote these issues as Other. Draw a bar graph to display these data.

Moral Values: 22%

Economy/jobs: 20%

Terrorism: 19%

Iraq: 15%

Health Care: 8%

Taxes: 5%

Education: 4%

As you will notice, these percentages add up to 93%. Assume that the remaining 7% of these voters names other issues and let us denote these issues as Other. Draw a bar graph to display these data.

asked 2021-02-25

Discuss the differences between quantitative and qualitative data, as well as the advantages and disadvantages of each. As a part of your response, describe one type of quantitative data.