What is the null hypothesis for Levene’s Test for Equality of
Variances?
Tested at a .05 level of significance, the Levene’s F-test in the
output shows that
a.Means are significantly different
b.Means are not significantly different
c.Variances are significantly different
d.Variances are not significantly different
What is the null hypothesis to test the statement that the average
amount of days spent doing homework is different for males and
females?
What is the alternative hypothesis to test the statement that the
average amount of days spent doing homework is different for males
and females?
On the SPSS output above, what the test statistic and significance
value used to assess the hypothesis that the average amount of days
spent doing homework is different for males and females?
Summarize the findings of the independent-samples t-test
(?=.05?=.05).
a.Males spent significantly more time doing homework than
females.
b.Males spent more time doing homework than females, but the
difference was not significant.
c.Females spent significantly more time doing homework than
males.
d.Females spent more time doing homework than males, but the
difference was not significant.
What is the probability that a Type I error was made?
a. .00
b.Between .00 and .05
c.Between .00 and .05
d.Greater than .10
What is the effect size of the difference?
a.0.000
b.0.012
c.0.019
d.0.110
Homework Answers
Add Answer to:
What is the null hypothesis for Levene’s Test for Equality of
Variances?
Tested at a .05...
Do males and females have significant different GPAs? Following is the output of analysis for 26...
Do males and females have significant different GPAs? Following is
the output of analysis for 26 males and 25 females.
1. Which of the following statements are true regarding
Levene’s F-test using a .05 level of significance?
a. Means are significantly different
b. Means are not significantly different
c. Variances are significantly different
d.Variances are not significantly different
2. From the chart above, what is the correct t-value, df, and Sig.
used for the t-test:
a. t(49)=0.326, p>0.05
b.t(49)=0.330, p>0.05...
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The output below is for a t-test for the hypothesis: Individuals
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provides you with the average number of crimes committed by
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Scenario for 2-5: Research question: Is there a difference in the infant mortality rates of states above and below the mean income? Use the SPSS output below. Test the mean difference and the assumption of equal variances at the .05 level. Group Statistics N INCGROUP INFMORT Infant mortalit 1.00 below mean rate (per 1000 live births) 2.00 above mear 28 23 Mean 7.9464 6.7435 Std. Deviation 2.0224 1.1878 Std. Error Mean .3822 2477 Lovene's Test for Equality of Variances t-test...
Let’s test, with our student data, whether online students spend a different amount of time on...
Let’s test, with our student data, whether online students spend
a different amount of time on their study plan than face-to-face
students. Use an α=0.05. Do not assume population standard
deviations are equal.
Write the probability statement for your p-value with the
correct. (Hint: Double check what the p-value given in the SPSS
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Make your decision.
Draw conclusions.
Using all of the previous Real World problems, write a brief
description of what you have...
Scenario for 2-5: Research question: Is there a difference in the infant mortality rates of states...
Scenario for 2-5: Research question: Is there a difference in the infant mortality rates of states above and below the mean income? Use the SPSS output below. Test the mean difference and the assumption of equal variances at the .05 level. Group Statistics N INCGROUP INFMORT Infant mortalit 1.00 below mean rate (per 1000 live births) 2.00 above mear 28 23 Mean 7.9464 6.7435 Std. Deviation 2.0224 1.1878 Std. Error Mean .3822 .2477 Levene's Test for Equality of Variances t-test...
1. ANOVA is a statistical method for verifying the equality between some sample means b. a....
1. ANOVA is a statistical method for verifying the equality between some sample means b. a. some sample standard deviations c. some population standard deviations d some population means Salary information regarding male and female employees of a large company is shown below Sample Size Male (Pop. 1) Female (Pop. 2) 49 47 Sample Mean Salary (in $1,000) , Population Variance 2. The point estimate of the difference μ-μ, between the two population means is Y 7-44-3.0 3. The margin...
What can you conclude from these results? Is Betty’s hypothesis supported? Betty has the following hypothesis:...
What can you conclude from these results? Is Betty’s
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Betty has the following hypothesis: Women are more likely to believe that hard work leads to success than men are. Betty ran a comparison of means test on survey data and had the following results from SPSS. The variable about "hard work" ranges from 1 to 10 with 1 being the strongest belief that hard work brings success and 10 being the strongest belief that hard work does NOT...
spss output for questions 34, 35 & 36 Group Statistics Gender Mean Std. Deviation Std. Error Mean Loneliness Female 112 35.0000 86394 44 35.0000 7.95335 Independent Samples Test Levene's...
spss output for questions 34, 35 & 36 Group Statistics Gender Mean Std. Deviation Std. Error Mean Loneliness Female 112 35.0000 86394 44 35.0000 7.95335 Independent Samples Test Levene's Test for Equality of Variances Hest for Equality of Means 95% Confdence Interval of the Sig. (2 Mean Std. Emor Ditlerence df taled) Difference DiflerenceLower Upper Sig. Loneliness Equal variances 1021 .0001 1541 10여 .000001100707|-329329 320320 2.7 assumed 091.000 00000 151867301416 3.01416 Equal variances not assumed 34. For the above SPSS...
Do males and females have significant different GPAs? Following is
the output of analysis for 26 males and 25 females.
1. Which of the following statements are true regarding
Levene’s F-test using a .05 level of significance?
a. Means are significantly different
b. Means are not significantly different
c. Variances are significantly different
d.Variances are not significantly different
2. From the chart above, what is the correct t-value, df, and Sig.
used for the t-test:
a. t(49)=0.326, p>0.05
b.t(49)=0.330, p>0.05...
Imagine that you are next interested in discovering whether or
not there are differences in minutes spent exercising per day
between males (coded as “1”) and females (coded as “2”) in your
sample. You hypothesize that males exercise more minutes per day
than females. You performed descriptive analyses and found that
minutes spent exercising was approximately normally distributed in
both groups (skewness = .26 for males, skewness = .07 for females).
You therefore decided to perform an independent samples t...
The output below is for a t-test for the hypothesis: Individuals
living in bad neighborhoods commit more crime than those living in
good neighborhoods. The data in the Group Statistics section
provides you with the average number of crimes committed by
individuals living in good and bad neighborhoods and the standard
deviation of this same variable. The findings of significance are
located in the Independent Samples Test section. Pay particular
attention to the "t" column and the "Sig (2-tailed)"column. The...
Scenario for 2-5: Research question: Is there a difference in the infant mortality rates of states above and below the mean income? Use the SPSS output below. Test the mean difference and the assumption of equal variances at the .05 level. Group Statistics N INCGROUP INFMORT Infant mortalit 1.00 below mean rate (per 1000 live births) 2.00 above mear 28 23 Mean 7.9464 6.7435 Std. Deviation 2.0224 1.1878 Std. Error Mean .3822 2477 Lovene's Test for Equality of Variances t-test...
Let’s test, with our student data, whether online students spend
a different amount of time on their study plan than face-to-face
students. Use an α=0.05. Do not assume population standard
deviations are equal.
Write the probability statement for your p-value with the
correct. (Hint: Double check what the p-value given in the SPSS
output is for, how many tails?)
Make your decision.
Draw conclusions.
Using all of the previous Real World problems, write a brief
description of what you have...
Scenario for 2-5: Research question: Is there a difference in the infant mortality rates of states above and below the mean income? Use the SPSS output below. Test the mean difference and the assumption of equal variances at the .05 level. Group Statistics N INCGROUP INFMORT Infant mortalit 1.00 below mean rate (per 1000 live births) 2.00 above mear 28 23 Mean 7.9464 6.7435 Std. Deviation 2.0224 1.1878 Std. Error Mean .3822 .2477 Levene's Test for Equality of Variances t-test...
1. ANOVA is a statistical method for verifying the equality between some sample means b. a. some sample standard deviations c. some population standard deviations d some population means Salary information regarding male and female employees of a large company is shown below Sample Size Male (Pop. 1) Female (Pop. 2) 49 47 Sample Mean Salary (in $1,000) , Population Variance 2. The point estimate of the difference μ-μ, between the two population means is Y 7-44-3.0 3. The margin...
What can you conclude from these results? Is Betty’s
hypothesis supported?
Betty has the following hypothesis: Women are more likely to believe that hard work leads to success than men are. Betty ran a comparison of means test on survey data and had the following results from SPSS. The variable about "hard work" ranges from 1 to 10 with 1 being the strongest belief that hard work brings success and 10 being the strongest belief that hard work does NOT...
spss output for questions 34, 35 & 36 Group Statistics Gender Mean Std. Deviation Std. Error Mean Loneliness Female 112 35.0000 86394 44 35.0000 7.95335 Independent Samples Test Levene's Test for Equality of Variances Hest for Equality of Means 95% Confdence Interval of the Sig. (2 Mean Std. Emor Ditlerence df taled) Difference DiflerenceLower Upper Sig. Loneliness Equal variances 1021 .0001 1541 10여 .000001100707|-329329 320320 2.7 assumed 091.000 00000 151867301416 3.01416 Equal variances not assumed 34. For the above SPSS...
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