Variables are quality characteristics that are always nominal types of data measured on a continuous scale...
Variables are quality characteristics that are
always nominal types of data
measured on a continuous scale
counted using whole numbers
usually independent variables
Homework Answers
Measured on a continuous scale can be said about variables which are quality characteristics. The continuous scale can include height, weight, length, concentration, etc.
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Variables are quality characteristics that are
always nominal types of data
measured on a continuous scale...
The two types of critical-to-quality characteristics are a. Quality control and quality assurance b. Variables and...
The two types of critical-to-quality characteristics are a. Quality control and quality assurance b. Variables and attributes c. Quality of design and quality of conformance d. Reliability and maintainability
We use histograms for data measured on a continuous scale and bar charts for data measured...
We use histograms for data measured on a continuous scale and bar charts for data measured on a categorical scale. a) True b) False
Your data include a measure of air pollution that is measured on a continuous scale, as...
Your data include a measure of air pollution that is measured on a continuous scale, as well as another variable that measures the location of that air pollution in five counties. Which test statistic should you use to examine whether mean pollution levels vary across counties? Why should you use this test statistic?
Discuss two data characteristics that could invalidate the use of linear correlation and regression to show the relationship between two ratio scale variables.
Discuss two data characteristics that could invalidate the use of linear correlation and regression to show the relationship between two ratio scale variables.
Question One State if the following are true or false and explain. A nominal scale and...
Question One State if the following are true or false and explain. A nominal scale and ordinal scale both have difference properties. [2 marks] The Classical linear regression model assumptions assume a model must linear in parameters and never in variables. [2 marks] Time series data is similar to panel data as both have varying observations or characteristics. [2 marks] A moving average process and an autoregressive process have the same specification. [2 marks] The confidence interval approach...
Classify each of the following variables as either measurable (continuous) or categorical. If a v...
Classify each of the following variables as either measurable (continuous) or categorical. If a variable is categorical, indicate whether it is nominal or ordinal. Justify your answer. (Note: No marks will be given without justifications.) a. The level of impurity in water (measured in milligrams per liter). b. The various political parties in Singapore. c. The education level of employees of a certain company. (2 marks) (2 marks) (2 marks) d. 5-point Likert scale used in surveys. The 5 points...
Objects are to classes as __________ are to _______________. A) variables … primitive data types B)...
Objects are to classes as __________ are to _______________. A) variables … primitive data types B) characters … strings C) integers … numbers D) squares … cubes
11. Quantitative variables are also referred to as continuous or interval variables. 12. Categorical variables consist...
11. Quantitative variables are also referred to as continuous or interval variables. 12. Categorical variables consist of separate, indivisible categories. 13. Categorical variables may also be refered to as nominal, ordinal, discrete, or qualitativ 14. A dichotomous variable is one that has only two possible levels or categories 15. Age is a quantitative variable, but one could recode the values so that it would be transformed into a dichotomous variable 16. When conducting a multivariate analysis, the best recommendation is...
When is a regression analysis not suitable? Two variables have been measured on a ratio scale....
When is a regression analysis not suitable? Two variables have been measured on a ratio scale. There is a high error ratio. There is heteroscedasticity in the scatter plot. The data plot is a diagonal through the origin The number of twentieth-century US presidential elections is not a discrete random variable. Why not? There is no integer The integer does not vary and is not random. It results from random process. Another reason.
For each of the following, indicate whether the data is measured on a nominal, ordinal, interval,...
For each of the following, indicate whether the data is measured on a nominal, ordinal, interval, or ratio scale- 1. The ages of college students 2. Amount of sodium in a Soda drink 3. The languages spoken by college students 4. waist size of men who attend Weight Watchers every week 5. Speed categories of college student in English class (Very high, high, low, very low...etc) 6. Scores on an SAT exams- 7. Races of student at college.“
11. Quantitative variables are also referred to as continuous or interval variables. 12. Categorical variables consist of separate, indivisible categories. 13. Categorical variables may also be refered to as nominal, ordinal, discrete, or qualitativ 14. A dichotomous variable is one that has only two possible levels or categories 15. Age is a quantitative variable, but one could recode the values so that it would be transformed into a dichotomous variable 16. When conducting a multivariate analysis, the best recommendation is...
When is a regression analysis not suitable? Two variables have been measured on a ratio scale. There is a high error ratio. There is heteroscedasticity in the scatter plot. The data plot is a diagonal through the origin The number of twentieth-century US presidential elections is not a discrete random variable. Why not? There is no integer The integer does not vary and is not random. It results from random process. Another reason.
For each of the following, indicate whether the data is measured on a nominal, ordinal, interval, or ratio scale- 1. The ages of college students 2. Amount of sodium in a Soda drink 3. The languages spoken by college students 4. waist size of men who attend Weight Watchers every week 5. Speed categories of college student in English class (Very high, high, low, very low...etc) 6. Scores on an SAT exams- 7. Races of student at college.“
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