1. In the language of science, a variable that is thought to be causal is calleda. an independent variableb. a hypothetical variablec. a primary variabled. a dependent variable2. An hypothesis states that "as a person's education increases their income is likely to increase". In this statement, income isa. the dependent variableb. the independent variablec. the hypothetical variabled. the secondary variable3. "Ninety percent of dorm residents approved a proposed ban on smoking". This statement is an example of the use ofa. inferential statisticsb. descriptive statisticsc. multivariate statistics|d. inductive statistics4. Which of the following is a discrete variable?a. heightb. agec. miles per gallond. number of children 5. Which of the following is NOT a nominal level variable?a. level of education|b. zip codec. occupation|d. make of auto6. The ordinal level of measurement allows us to|a. order categories from high to low|b. measure the distance between high and low|c. say that one case is more or less than anotherd. both a and e7. Computation of a mean (or average) is completely justified when a variable is measured at which level?a. interval-ratiob. ordinalc. nominal|d. discrete8. To calculate a proportion, the number of cases in any category (f) is divided bya. the total number of categories (k)|b. the number of cases in all categories (n)c. the cases in that category (f)d. the number of cases in adjacent categories (k-1)

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1. In the language of science, a variable that is thought to be causal is called a. an independent variable |b. a hypothetical variable c. a primary variable d. a dependent variable 2. An hypothesis states that "as a person's education increases their income is likely to increase". In this statement, income is a. the dependent variable b. the independent variable c. the hypothetical variable d. the secondary variable 3. “Ninety percent of dorm residents approved a proposed ban on smoking". This statement is an example of the use of a. inferential statistics b. descriptive statistics c. multivariate statistics |d. inductive statistics

1. In the language of science, a variable that is thought to be causal is called a. an independent variable |b. a hypothetical variable c. a primary variable d. a dependent variable 2. An hypothesis states that "as a person's education increases their income is likely to increase". In this statement, income is a. the dependent variable b. the independent variable c. the hypothetical variable d. the secondary variable 3. “Ninety percent of dorm residents approved a proposed ban on smoking". This statement is an example of the use of a. inferential statistics b. descriptive statistics c. multivariate statistics |d. inductive statistics

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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Question

1. In the language of science, a variable that is thought to be causal is called
a. an independent variable
b. a hypothetical variable
c. a primary variable
d. a dependent variable
2. An hypothesis states that "as a person's education increases their income is likely to increase". In this statement, income is
a. the dependent variable
b. the independent variable
c. the hypothetical variable
d. the secondary variable
3. "Ninety percent of dorm residents approved a proposed ban on smoking". This statement is an example of the use of
a. inferential statistics
b. descriptive statistics
c. multivariate statistics
|d. inductive statistics
4. Which of the following is a discrete variable?
a. height
b. age
c. miles per gallon
d. number of children

5. Which of the following is NOT a nominal level variable?
a. level of education
|b. zip code
c. occupation
|d. make of auto
6. The ordinal level of measurement allows us to
|a. order categories from high to low
|b. measure the distance between high and low
|c. say that one case is more or less than another
d. both a and e
7. Computation of a mean (or average) is completely justified when a variable is measured at which level?
a. interval-ratio
b. ordinal
c. nominal
|d. discrete
8. To calculate a proportion, the number of cases in any category (f) is divided by
a. the total number of categories (k)
|b. the number of cases in all categories (n)
c. the cases in that category (f)
d. the number of cases in adjacent categories (k-1)

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