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
c. t(49)=2.692, p>0.05
d. t(39.108)=0.326, p>0.05
e. t(39.108)=0.330, p>0.05
f. t(39.108)=2.692, p>0.05
Homework Answers
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Do males and females have significant different GPAs? Following is
the output of analysis for 26...
What is the null hypothesis for Levene’s Test for Equality of Variances? Tested at a .05...
What is the null hypothesis for Levene’s Test for Equality of
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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
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a
researcher wants to know whether males and females consider
personality or looks ate more important in mate selection. He
decides to run a 2X2 ANOVA to examine the differences between what
quality attracts people more( personality/looks) and whether gender
(male/female) impacts the difference anwer the following questions
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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...
a
researcher wants to know whether males and females consider
personality or looks ate more important in mate selection. He
decides to run a 2X2 ANOVA to examine the differences between what
quality attracts people more( personality/looks) and whether gender
(male/female) impacts the difference anwer the following questions
df Score (M Equal variances assumed 036 8494.584 233 Equal variances not 4.657 182.973 Independent Samples Test Hest for Equality of Means 95% Mean Std. Error Difference しDifference Sig (2-tailed) Lower Score...
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...
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For the 2015 General Social Survey, a comparison of females and males on the number of hours a day that the subject watched TV gave the following results. Group Females 510 3.10 Males 396 2.90 (a) Set up the hypotheses of a significance test to analyze whether the population means differ for females and males. Ho: -Select 2 H: --Select-- 12 (b) Conduct all parts of the significance test if df - 509 and standard error = 0.163. Interpret the...
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...
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