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For the linear equation Y = 2X – 3, which of the following points will not be on

ID: 3228615 • Letter: F

Question

For the linear equation Y = 2X 3, which of the following points will not be on the line?

0, -3

2, 1

3, 0

4, 5

4 points   

QUESTION 2

An analysis of regression is used to test the significance of a linear regression equation based on a sample of n = 20 individuals. What are the df values for the F-ratio?

1, 18

1, 19

2, 18

2, 19

4 points   

QUESTION 3

For linear regression calculated for a sample of n = 20 pairs of X and Y values, what is the value for degrees of freedom for the predicted portion of the Y-score variance, MSregression?

1

2

19

18

4 points   

QUESTION 4

A set of n = 10 pairs of scores has SX = 20, SY = 30, and SXY = 74. What is the value of SP for these data?

74

24

14

–14

4 points   

QUESTION 5

A researcher obtains a Pearson correlation of r = 0.60 for a sample of n = 6 pairs of X and Y scores. If the researcher tests the significance of the correlation, what value will be obtained for the t statistic?

0.6/0.16 = 3.75

0.6/0.4 = 1.50

0/6/0.8 = 0.77

0.6/1.0 = 0.6

4 points   

QUESTION 6

What would the scatter plot show for data that produce a Pearson correlation of r = +0.88?

Points clustered close to a line that slopes up to the right

Points clustered close to a line that slopes down to the right

Points widely scattered around a line that slopes up to the right

Points widely scattered around a line that slopes down to the right

4 points   

QUESTION 7

For a two-tailed hypothesis test evaluating a Pearson correlation, what is stated by the null hypothesis?

There is a non-zero correlation for the general population

The population correlation is zero

There is a non-zero correlation for the sample

The sample correlation is zero

4 points   

QUESTION 8

Under what circumstances is the phi-coefficient used?

When one variable consists of ranks and the other is regular, numerical scores

When both variables consists of ranks

When both X and Y are dichotomous variables

When one variable is dichotomous and the other is regular, numerical scores

4 points   

QUESTION 9

The scatter plot for a set of X and Y values shows the data points clustered in a nearly perfect circle. For these data, what is the most likely value for the Pearson correlation?

A positive correlation near 0

A negative correlation near 0

Either positive or negative near 0

A value near +1.00 or -1.00

4 points   

QUESTION 10

Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight can be explained by the relationship with height?

40%

60%

16%

84%

4 points   

QUESTION 11

A chi-square test for goodness of fit has df = 2. How many categories were used to classify the individuals in the sample?

2

3

4

Cannot be determined without additional information

4 points   

QUESTION 12

What happens to the critical value for a chi-square test if the number of categories is increased?

The critical value increases.

The critical value decreases.

The critical value depends on the sample size, not the number of categories.

The critical value is determined entirely by the alpha level.

4 points   

QUESTION 13

Which of the following accurately describes the expected frequencies for a chi-square test?

They are always whole numbers.

They can contain fractions or decimal values.

They can contain both positive and negative values.

They can contain fractions and negative numbers.

4 points   

QUESTION 14

A chi-square test for independence is being used to evaluate the relationship between two variables. If the test has df = 1, what can you conclude about the two variables?

One variable consists of 2 categories and the other consists of 3 categories

One variable consists of 2 categories and the other consists of 4 categories

Both variables consist of 2 categories

Both variables consist of 3 categories

4 points   

QUESTION 15

Which of the following accurately describes the chi-square test for goodness of fit?

It is similar to a single-sample t test because it uses one sample to test a hypothesis about one population.

It is similar to a correlation because it uses one sample to evaluate the relationship between two variables.

It is similar to an independent-measures t test because it uses separate samples to evaluate the difference between separate populations.

It is similar to both a correlation and an independent-measures t test because it can be used to evaluate a relationship between variables or a difference between populations.

4 points   

QUESTION 16

A researcher obtains a negative value for chi-square statistic. What can you conclude because the value is negative?

The observed frequencies are consistently larger than the expected frequencies.

The expected frequencies are consistently larger than the observed frequencies.

There are large differences between the observed and expected frequencies.

The researcher made a mistake; the value of chi-square cannot be negative.

4 points   

QUESTION 17

A chi-square test for goodness of fit is used to examine the distribution of individuals across three categories, and a chi-square test for independence is used to examine the distribution of individuals in a 2´3 matrix of categories. Which test has the larger value for df?

The test for goodness of fit

The test for independence

Both tests have the same df value.

The df value depends on the sizes of the samples that are used.

4 points   

QUESTION 18

A researcher selects a sample of 100 people to investigate the relationship between gender (male/female) and registering to vote. The sample consists of 40 females, of whom 30 are registered voters, and 60 males, of whom 40 are registered voters. If these data were used for a chi-square test for independence, what is the observed frequency for registered males?

12

28

40

42

4 points   

QUESTION 19

When the data form a 2x2 matrix, the phi-coefficient is used to measure effect size for the chi-square test for independence. If other factors are held constant, how does sample size influence the values for phi and chi-square?

A larger sample increases both phi and chi-square.

A larger sample increases phi but has no effect on chi-square.

A larger sample increases chi-square but has no effect on phi.

Sample size does not influence either phi or chi-square.

4 points   

QUESTION 20

What is stated by the null hypothesis for the chi-square test for independence?

There is a relationship between the two variables.

There is no relationship between the two variables.

Both variables have the same frequency distribution.

The two variables have different frequency distributions.

4 points   

QUESTION 21

Which of the following is always true for a chi-square test for goodness of fit or a test for independence?

Sfe = n

Sfe = Sfo

Both Sfe = n and Sfe = Sfo

Neither Sfe = n nor Sfe = Sfo

4 points   

QUESTION 22

Which of the following accurately describes the observed frequencies for a chi-square test?

They are always whole numbers.

They can contain fractions or decimal values.

They can contain both positive and negative values.

They can contain fractions and negative numbers.

4 points   

QUESTION 23

A sample of 100 people is classified by gender (male/female) and by whether or not they are registered voters. The sample consists of 80 females and 20 males, and has a total of 60 registered voters. If these data were used for a chi-square test for independence, what is the expected frequency for males who are registered voters?

12

20

40

Cannot determine without additional information

4 points   

QUESTION 24

A researcher selects a sample of 100 people to investigate the relationship between gender (male/female) and registering to vote. The sample consists of 40 females, of whom 30 are registered voters, and 60 males, of whom 40 are registered voters. If these data were used for a chi-square test for independence, what is the expected frequency for registered females?

12

28

40

42

4 points   

QUESTION 25

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

There is a good fit between the sample data and the null hypothesis.

There is a large discrepancy between the sample data and the null hypothesis.

All of the expected frequencies must also be close to zero.

The researcher made a mistake because chi-square can never be close to zero.

For the linear equation Y = 2X 3, which of the following points will not be on the line?

0, -3

2, 1

3, 0

4, 5

4 points   

QUESTION 2

An analysis of regression is used to test the significance of a linear regression equation based on a sample of n = 20 individuals. What are the df values for the F-ratio?

1, 18

1, 19

2, 18

2, 19

4 points   

QUESTION 3

For linear regression calculated for a sample of n = 20 pairs of X and Y values, what is the value for degrees of freedom for the predicted portion of the Y-score variance, MSregression?

1

2

19

18

4 points   

QUESTION 4

A set of n = 10 pairs of scores has SX = 20, SY = 30, and SXY = 74. What is the value of SP for these data?

74

24

14

–14

4 points   

QUESTION 5

A researcher obtains a Pearson correlation of r = 0.60 for a sample of n = 6 pairs of X and Y scores. If the researcher tests the significance of the correlation, what value will be obtained for the t statistic?

0.6/0.16 = 3.75

0.6/0.4 = 1.50

0/6/0.8 = 0.77

0.6/1.0 = 0.6

4 points   

QUESTION 6

What would the scatter plot show for data that produce a Pearson correlation of r = +0.88?

Points clustered close to a line that slopes up to the right

Points clustered close to a line that slopes down to the right

Points widely scattered around a line that slopes up to the right

Points widely scattered around a line that slopes down to the right

4 points   

QUESTION 7

For a two-tailed hypothesis test evaluating a Pearson correlation, what is stated by the null hypothesis?

There is a non-zero correlation for the general population

The population correlation is zero

There is a non-zero correlation for the sample

The sample correlation is zero

4 points   

QUESTION 8

Under what circumstances is the phi-coefficient used?

When one variable consists of ranks and the other is regular, numerical scores

When both variables consists of ranks

When both X and Y are dichotomous variables

When one variable is dichotomous and the other is regular, numerical scores

4 points   

QUESTION 9

The scatter plot for a set of X and Y values shows the data points clustered in a nearly perfect circle. For these data, what is the most likely value for the Pearson correlation?

A positive correlation near 0

A negative correlation near 0

Either positive or negative near 0

A value near +1.00 or -1.00

4 points   

QUESTION 10

Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight can be explained by the relationship with height?

40%

60%

16%

84%

4 points   

QUESTION 11

A chi-square test for goodness of fit has df = 2. How many categories were used to classify the individuals in the sample?

2

3

4

Cannot be determined without additional information

4 points   

QUESTION 12

What happens to the critical value for a chi-square test if the number of categories is increased?

The critical value increases.

The critical value decreases.

The critical value depends on the sample size, not the number of categories.

The critical value is determined entirely by the alpha level.

4 points   

QUESTION 13

Which of the following accurately describes the expected frequencies for a chi-square test?

They are always whole numbers.

They can contain fractions or decimal values.

They can contain both positive and negative values.

They can contain fractions and negative numbers.

4 points   

QUESTION 14

A chi-square test for independence is being used to evaluate the relationship between two variables. If the test has df = 1, what can you conclude about the two variables?

One variable consists of 2 categories and the other consists of 3 categories

One variable consists of 2 categories and the other consists of 4 categories

Both variables consist of 2 categories

Both variables consist of 3 categories

4 points   

QUESTION 15

Which of the following accurately describes the chi-square test for goodness of fit?

It is similar to a single-sample t test because it uses one sample to test a hypothesis about one population.

It is similar to a correlation because it uses one sample to evaluate the relationship between two variables.

It is similar to an independent-measures t test because it uses separate samples to evaluate the difference between separate populations.

It is similar to both a correlation and an independent-measures t test because it can be used to evaluate a relationship between variables or a difference between populations.

4 points   

QUESTION 16

A researcher obtains a negative value for chi-square statistic. What can you conclude because the value is negative?

The observed frequencies are consistently larger than the expected frequencies.

The expected frequencies are consistently larger than the observed frequencies.

There are large differences between the observed and expected frequencies.

The researcher made a mistake; the value of chi-square cannot be negative.

4 points   

QUESTION 17

A chi-square test for goodness of fit is used to examine the distribution of individuals across three categories, and a chi-square test for independence is used to examine the distribution of individuals in a 2´3 matrix of categories. Which test has the larger value for df?

The test for goodness of fit

The test for independence

Both tests have the same df value.

The df value depends on the sizes of the samples that are used.

4 points   

QUESTION 18

A researcher selects a sample of 100 people to investigate the relationship between gender (male/female) and registering to vote. The sample consists of 40 females, of whom 30 are registered voters, and 60 males, of whom 40 are registered voters. If these data were used for a chi-square test for independence, what is the observed frequency for registered males?

12

28

40

42

4 points   

QUESTION 19

When the data form a 2x2 matrix, the phi-coefficient is used to measure effect size for the chi-square test for independence. If other factors are held constant, how does sample size influence the values for phi and chi-square?

A larger sample increases both phi and chi-square.

A larger sample increases phi but has no effect on chi-square.

A larger sample increases chi-square but has no effect on phi.

Sample size does not influence either phi or chi-square.

4 points   

QUESTION 20

What is stated by the null hypothesis for the chi-square test for independence?

There is a relationship between the two variables.

There is no relationship between the two variables.

Both variables have the same frequency distribution.

The two variables have different frequency distributions.

4 points   

QUESTION 21

Which of the following is always true for a chi-square test for goodness of fit or a test for independence?

Sfe = n

Sfe = Sfo

Both Sfe = n and Sfe = Sfo

Neither Sfe = n nor Sfe = Sfo

4 points   

QUESTION 22

Which of the following accurately describes the observed frequencies for a chi-square test?

They are always whole numbers.

They can contain fractions or decimal values.

They can contain both positive and negative values.

They can contain fractions and negative numbers.

4 points   

QUESTION 23

A sample of 100 people is classified by gender (male/female) and by whether or not they are registered voters. The sample consists of 80 females and 20 males, and has a total of 60 registered voters. If these data were used for a chi-square test for independence, what is the expected frequency for males who are registered voters?

12

20

40

Cannot determine without additional information

4 points   

QUESTION 24

A researcher selects a sample of 100 people to investigate the relationship between gender (male/female) and registering to vote. The sample consists of 40 females, of whom 30 are registered voters, and 60 males, of whom 40 are registered voters. If these data were used for a chi-square test for independence, what is the expected frequency for registered females?

12

28

40

42

4 points   

QUESTION 25

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

There is a good fit between the sample data and the null hypothesis.

There is a large discrepancy between the sample data and the null hypothesis.

All of the expected frequencies must also be close to zero.

The researcher made a mistake because chi-square can never be close to zero.

0, -3

2, 1

3, 0

4, 5

Explanation / Answer

the linear equation Y = 2X 3

If a point is on the line then it will satisfy the equation

C. (3,0) is the answer because it doesnt satisfy the equation

Please ask each question seperately