Question 1

To test for normality, the ____________________ hypothesis specifies probabilities of certain intervals within the normal distribution.

Accepted Answer

The answer of To test for normality, the ____________________ hypothesis...

Question 2

A test statistic that lies in the far right tail of the chi-squared distribution indicates you will ____________________ H0.

Accepted Answer

Question 3

A chi-squared test statistic in a test of a contingency table that is equal to zero means:

Accepted Answer

A) The two nominal variables are equal. 
B) The two nominal variables are independent. 
C) The two nominal variables have the same proportions listed in H0. 
D) All of these choices. 
A) The two nominal variables are equal. 
B) The two nominal variables are independent. 
C) The two nominal variables have the same proportions listed in H0. 
D) All of these choices.

Question 4

The chi-squared goodness-of-fit test compares the ____________________ frequencies in the table to the ____________________ frequencies based on the null hypothesis.

Accepted Answer

The answer of The chi-squared goodness-of-fit test compares the ____________________...

Question 5

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and $\alpha$ = 0.05. $$\begin{array} { | l | l l l | } 
\hline & \boldsymbol { B } _ { 1 } & \boldsymbol { B } _ { \mathbf { 7 } } & \boldsymbol { B } _ { \mathbf { 3 } } \
\hline A _ { 1 } & 35 & 25 & 20 \
A _ { 7 } & 25 & 20 & 25 \
\hline
\end{array}$$

Accepted Answer

H₀: The two variables are independent vs.

Question 6

NARRBEGIN: Students Absenteeism
Student Absenteeism
Consider a multinomial experiment involving n = 200 students of a large high school. The attendance department recorded the number of students who were absent during the weekdays. The null hypothesis to be tested is: HS1U1B10S1U1B0: pS1U1B11S1U1B0 = 0.10, pS1U1B12S1U1B0 = 0.25, pS1U1B13S1U1B0 = 0.30, pS1U1B14S1U1B0 = 0.20, pS1U1B15S1U1B0 = 0.15.NARREND
-{Student Absenteeism Narrative} Test the hypothesis at the 5% level of significance with the following frequencies:
 $$\begin{array} { | l | c c c c c | } 
\hline \text { Day of the Week } & \text { Mon. } & \text { Tues. } & \text { Wed. } & \text { Thurs. } & \text { Fri. } \
\hline \text { Number Absent } & 4 & 11 & 14 & 12 & 9 \
\hline
\end{array}$$

Accepted Answer

Rejection region: @#LAT-DLM&² > @#LAT-DLM&²_0.05,4 = 9.488

Question 7

A Deli proposes to serve 4 main Sandwiches. For planning purposes, the manager expects that the proportions of each that will be selected by her customers will be:
 $$\begin{array} { | l | c | } 
\hline \text { Selection } & \text { Proportion } \
\hline \text { Turkey } & 0 .50 \
\text { Roast Beef } & 0 .20 \
\text { Pastrami } &0 .10 \
\text { Tuna } &0 .20 \
\hline
\end{array}$$ Of a random sample of 100 customers, 44 selected chicken, 24 selected roast beef, 13 selected Pastrami, and 10 selected tuna. Should the manager revise her estimates? Use $\alpha$ = 0.01.

Accepted Answer

H₀: p₁ = 0.50, p₂ = 0.20, p₃ = 0.10, p₄ = 0.2

Question 8

The values of a chi-squared distribution are always ____________________ zero.

Accepted Answer

greater th

Question 9

The human resources manager of a consumer product company asked a random sample of employees how they felt about the work they were doing. The following table gives a breakdown of their responses by whether the employee is part time or full time (aka work status). Do the data provide sufficient evidence to conclude that the level of job satisfaction is related to their work status? Use $\alpha$ = 0.10. $$\begin{array}{l}
\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\text { Response }\
\begin{array} { | l | c c c | } 
\hline \text { Gender } & \text { Very Interesting } & \text { Fairly Interesting } & \text { Not Interesting } \
\hline \text { Full time } & 70 & 41 & 9 \
\text { Part time } & 35 & 34 & 11 \
\hline
\end{array}
\end{array}$$

Accepted Answer

H₀: Job satisfaction and work status are

Question 10

If there are only two categories, the chi-squared goodness-of-fit test is the same as the z-test for p, the population proportion (as long as the sample/cell sizes meet the conditions).

Accepted Answer

A) True 
 B)False

Question 11

NARRBEGIN: Students Absenteeism
Student Absenteeism
Consider a multinomial experiment involving n = 200 students of a large high school. The attendance department recorded the number of students who were absent during the weekdays. The null hypothesis to be tested is: HS1U1B10S1U1B0: pS1U1B11S1U1B0 = 0.10, pS1U1B12S1U1B0 = 0.25, pS1U1B13S1U1B0 = 0.30, pS1U1B14S1U1B0 = 0.20, pS1U1B15S1U1B0 = 0.15.NARREND
-{Student Absenteeism Narrative} Test the hypothesis at the 5% level of significance with the following frequencies:
 $$\begin{array} { | l | c c c c c | } 
\hline \text { Day of the Week } & \text { Mon. } & \text { Tues. } & \text { Wed. } & \text { Thurs. } & \text { Fri } \
\hline \text { Number Absent } & 16 & 44 & 56 & 48 & 36 \
\hline
\end{array}$$

Accepted Answer

Rejection region: @#LAT-DLM&² > @#LAT-DLM&²_0.05,4 = 9.488

Question 12

There are two critical factors in identifying the technique used when the data are nominal. The first is the problem objective. The second is the number of ____________________ that nominal variable can assume.

Accepted Answer

The answer of There are two critical factors in identifying...

Question 13

The number of degrees of freedom in a chi-squared test for normality, where the number of standardized intervals is 5 and there are 2 population parameters to be estimated from the data, is equal to:

Accepted Answer

A) 5 
B) 4 
C) 3 
D) 2 
A) 5 
B) 4 
C) 3 
D) 2

Question 14

In a goodness-of-fit test, H0 lists specific values for proportions and the test of a contingency table does not.

Accepted Answer

A) True 
 B)False

Question 15

The rule of five states that in order to conduct the chi-squared goodness-of-fit test, the ____________________ value for each cell must be five or more.

Accepted Answer

The answer of The rule of five states that in...

Question 16

Mathematical statisticians have established that if we square the value of z, the test statistic for the test of one proportion p, we produce the $\chi$2 statistic. That is, z2 = $\chi$2.

Accepted Answer

A) True 
 B)False

Question 17

A small chi-squared test statistic in a goodness-of-fit test supports the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 18

A chi-squared distribution is symmetric.

Accepted Answer

A) True 
 B)False

Question 19

The rule of ____________________ states that in order to conduct the chi-squared goodness-of-fit test, the expected value for each cell must be ____________________ or more.

Accepted Answer

The answer of The rule of ____________________ states that in...

Question 20

To test for normality, the ____________________ hypothesis is that at least two proportions differ from their specified values.

Accepted Answer

The answer of To test for normality, the ____________________ hypothesis...

To test for normality, the ____________________ hypothesis specifies probabilities of certain intervals within the normal distribution.

A test statistic that lies in the far right tail of the chi-squared distribution indicates you will ____________________ H₀.

A chi-squared test statistic in a test of a contingency table that is equal to zero means:

The chi-squared goodness-of-fit test compares the frequencies in the table to the frequencies based on the null hypothesis.

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and $\alpha$ = 0.05. 35 25 20 25 20 25

The values of a chi-squared distribution are always ____________________ zero.

If there are only two categories, the chi-squared goodness-of-fit test is the same as the z-test for p, the population proportion (as long as the sample/cell sizes meet the conditions).

There are two critical factors in identifying the technique used when the data are nominal. The first is the problem objective. The second is the number of ____________________ that nominal variable can assume.

The number of degrees of freedom in a chi-squared test for normality, where the number of standardized intervals is 5 and there are 2 population parameters to be estimated from the data, is equal to:

In a goodness-of-fit test, H₀ lists specific values for proportions and the test of a contingency table does not.

The rule of five states that in order to conduct the chi-squared goodness-of-fit test, the ____________________ value for each cell must be five or more.

Mathematical statisticians have established that if we square the value of z, the test statistic for the test of one proportion p, we produce the $\chi$ ² statistic. That is, z² = $\chi$ ².

A small chi-squared test statistic in a goodness-of-fit test supports the null hypothesis.

A chi-squared distribution is symmetric.

The rule of states that in order to conduct the chi-squared goodness-of-fit test, the expected value for each cell must be or more.

To test for normality, the ____________________ hypothesis is that at least two proportions differ from their specified values.

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Simple Linear Regression and Correlation

Multiple Regression

Filters

Exam 15: Chi-Squared Tests Optional

To test for normality, the ____________________ hypothesis specifies probabilities of certain intervals within the normal distribution.

A test statistic that lies in the far right tail of the chi-squared distribution indicates you will ____________________ H0.

A chi-squared test statistic in a test of a contingency table that is equal to zero means:

The chi-squared goodness-of-fit test compares the ____________________ frequencies in the table to the ____________________ frequencies based on the null hypothesis.

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and α\alphaα = 0.05. 35 25 20 25 20 25

The values of a chi-squared distribution are always ____________________ zero.

If there are only two categories, the chi-squared goodness-of-fit test is the same as the z-test for p, the population proportion (as long as the sample/cell sizes meet the conditions).

There are two critical factors in identifying the technique used when the data are nominal. The first is the problem objective. The second is the number of ____________________ that nominal variable can assume.

The number of degrees of freedom in a chi-squared test for normality, where the number of standardized intervals is 5 and there are 2 population parameters to be estimated from the data, is equal to:

In a goodness-of-fit test, H0 lists specific values for proportions and the test of a contingency table does not.

The rule of five states that in order to conduct the chi-squared goodness-of-fit test, the ____________________ value for each cell must be five or more.

Mathematical statisticians have established that if we square the value of z, the test statistic for the test of one proportion p, we produce the χ\chiχ 2 statistic. That is, z2 = χ\chiχ 2.

A small chi-squared test statistic in a goodness-of-fit test supports the null hypothesis.

A chi-squared distribution is symmetric.

The rule of ____________________ states that in order to conduct the chi-squared goodness-of-fit test, the expected value for each cell must be ____________________ or more.

To test for normality, the ____________________ hypothesis is that at least two proportions differ from their specified values.

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Simple Linear Regression and Correlation

Multiple Regression

Filters

A test statistic that lies in the far right tail of the chi-squared distribution indicates you will ____________________ H₀.

The chi-squared goodness-of-fit test compares the frequencies in the table to the frequencies based on the null hypothesis.

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and $\alpha$ = 0.05. 35 25 20 25 20 25

In a goodness-of-fit test, H₀ lists specific values for proportions and the test of a contingency table does not.

Mathematical statisticians have established that if we square the value of z, the test statistic for the test of one proportion p, we produce the $\chi$ ² statistic. That is, z² = $\chi$ ².

The rule of states that in order to conduct the chi-squared goodness-of-fit test, the expected value for each cell must be or more.