Question

In: Statistics and Probability

2. For each of the following variables, indicate if it is quantitative or categorical and also...

2. For each of the following variables, indicate if it is quantitative or categorical and also indicate the scale of measurement used for each:

The Gender of an individual

The Weight(pounds) of a package

The Income(dollars) of an individual

The Distance(miles) between two cities

Solutions

Expert Solution

ANSWER

1.The Gender of an Individual is a categorical variable

Here, Gender has the following categories, namely-

  • MALE
  • FEMALES
  • Others

For example- A boy named Ravi would fall under the MALE category, while a girl named Aasha would fall under the FEMALE category.

The scale of measurement used for Gender of an individual is Nominal Scale.

2.The Weight(pounds) of a package is a Quantitative variable.

Weight generally, is represented as a Numerical value.

Example- The weight of a package is 20 pounds.

The scale of measurement is ratio scale.

3.The Income(dollars) of an Individual is a Quantitative Variable. It can be expressed in Numericals.

For Example- Mr. Jefferson earns 40$ per month.

The Scale of measurement used is Ratio Scale

4.The Distance(miles) between two cities is a Quantitative variable. It is expressed in numericals. Example- The distance between city A and city B is 21 miles

The scale of measurement used is Ratio Scale.

(Note that: Weight, Income and Distance is measured under the Ratio Scale as it has a a defined Zero.)


Related Solutions

2. Identify the variables mentioned in the narrative paragraph and determine which are categorical and quantitative?...
2. Identify the variables mentioned in the narrative paragraph and determine which are categorical and quantitative? 3. Create one variable to hold a subset of your data set that contains only the Regular Section and one variable for the Sports Section. 4. Use the Plot function to plot each Sections scores and the number of students achieving that score. Use additional Plot Arguments to label the graph and give each axis an appropriate label. Once you have produced your Plots...
Hair Color and Job Title are examples of: continuous variables categorical variables quantitative variables ordinal variables...
Hair Color and Job Title are examples of: continuous variables categorical variables quantitative variables ordinal variables numerical variables discrete variables none of the above
What are the SPSS procedures for: 4A Categorical and Categorical 4B Categorical with Quantitative 4C Quantitative...
What are the SPSS procedures for: 4A Categorical and Categorical 4B Categorical with Quantitative 4C Quantitative with Quantitative
For each of the following variables, determine whether the variable is categorical or numerical. If the...
For each of the following variables, determine whether the variable is categorical or numerical. If the variable is numerical, determine whether the variable is discrete or continuous. In addition, determine the measurement scale. a. Number of times the individual changed jobs in the last 5 years b.Fragrance that the individual wears most frequently c. Amount of gasoline used for driving per month d.Day on which the person is most likely to shop online(Monday, Tuesday, etc.)
classify each variable as quantitative or categorical. for categorical- state whether its ordinal or nominal for...
classify each variable as quantitative or categorical. for categorical- state whether its ordinal or nominal for quantitative- state whether its continuous or discrete and whether the level of measurement is ratio or interval VARIABLES: Marital Status Happiness Cholestoral Change Blood Pressure Change Vision Change Age Male
1 For each of the following variables, identify the type of variable (numeric or categorical) and...
1 For each of the following variables, identify the type of variable (numeric or categorical) and level of measurement (nominal, ordinal, interval, or ratio). a. Business size (micro, small, medium, large) b. Airplane ticket price 2 Consider the following sample of data: 1.2 28.4 32.6 17.0 13.5 2.2 38.0 41.4 1.9 14.4 21.8 23.8 a. Calculate the quartiles. b. Calculate the average c. Calculate the standard deviation. 3  Given the following five-number summary, are there any outliers in the data? Min:...
3.For each of the following variables, determine whether the variable is categorical or numerical. If the...
3.For each of the following variables, determine whether the variable is categorical or numerical. If the variable is numerical, determine whether the variable is discrete or continuous. In addition, determine the measurement scale. a. Time comma in hours comma spent surfing the Internet per week b. Whether the individual uses a mobile phone to connect to the Internet c. Number of hamburgers ordered in a week d. Where the individual uses social networks to find sought dash after information e....
3. Classify each of the following variables as either qualitative, quantitative discrete, or quantitative continuous. (a)...
3. Classify each of the following variables as either qualitative, quantitative discrete, or quantitative continuous. (a) The amount of time it takes to assemble a piece of furniture from IKEA. (b) The number students who identify as female in STAT 2507 B during the Summer 2020 semester. (c) The province or territory where somebody lives in Canada. (d) The weight of a newborn infant. (e) A person’s lucky number. (e.g. My lucky number is 5.)
Briefly explain specifically why categorical and quantitative variables require different methods in order to describe their...
Briefly explain specifically why categorical and quantitative variables require different methods in order to describe their distributions. A correct answer will accurately address BOTH types of variables and clearly explain the REASONS these two types of variables REQUIRE different methods. Be sure to address WHY the methods differ not just WHAT methods are used in each case.
Label the type of each variable listed in the dataset as either quantitative or categorical, and...
Label the type of each variable listed in the dataset as either quantitative or categorical, and denote its scale of measurement (ratio, interval, ordinal, nominal). Wage (average hourly earnings) Education (years of education) Experience (years of experience) Tenure (length of time employed) Race Gender Married Dependents
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT