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 test to examine your hypothesis.
a) To interpret this test correctly, should we assume that there is equal variance across the two groups or not?
b) How do you know?
c) How many minutes on average do males spend exercising per day? Females?
d) Interpret the findings. In your own words, explain whether or not your hypothesis was supported.
a) Yes, we can assume that there is equal variances across the two groups.
b) Explanation: For testing equality of variances we have to use levene's F test. From the given output table, we can observe that levene's F test 'p' value found to be, p = 0.471 > 0.05
Hence we have to assume equality of variances between two groups.
c) On average males are spending more (46.2857) minutes than females (44.3750) on exercising per day.
d) Here we are not supporting the hypothesis. ( Fail to reject the null hypothesis)
Explanation: From the output table, the t statistic 'p' value was 0.787
Therefore p=0.787 > 0.05
Hence we fail to reject the null hypothesis.
Conclusion: There was not enough evidence that, males exercise more minutes per day than females
Imagine that you are next interested in discovering whether or not there are differences in minutes...
Suppose you are interested in whether or not there are
differences between males and females in time spent per day talking
on the phone. You hypothesize that females spend more time per day
(in minutes) talking on the phone than males. After you entered
your data, you performed descriptive statistics.
Based on the output from the descriptive statistics below, what
analysis should you perform to test your hypothesis? Explain why
you chose that test.
1. Suppose you are interested in...
you want to know whether or not minutes spent exercising per day
is correlated with minutes spent talking on the phone per day. You
performed descriptive analyses and found that minutes spent talking
on the phone was skewed for the overall sample (skewness = 2.81)
and minutes spent exercising was approximately normally distributed
for the overall sample (skewness = .30). You decided to perform a
Spearman Rho correlation.
a) Explain why Spearman Rho was the best test to choose for...
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...
You are interested in the effects of witnessing sexual victimization in prison on trauma symptoms. You asked prisoners if they have ever witnessed another prisoner be sexually assaulted (measured no/yes). You also administer the Trauma Symptoms Checklist (TSC) scale, which has a maximum score of 90 (higher scores equal more trauma symptoms experienced). You hypothesize that prisoners who did not witness sexual victimization will have lower TSC score than prisoners who did witness sexual victimization. Below are the data that...
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...
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...
QUESTION 17 (B. 4/4) Answer the following questions using data from the Police-Public Contact Survey. Are there differences between time of day and how long a police- stop lasts? Group Statistics Was stop during the day or at night? N Day 84 Night 124 Mean How many minutes did the stops Std Deviation 25.624 17.588 Sed. Error Mean 2.796 1.579 15.05 12.12 Independent Samples Test Levene's Test for Equality of Variances t-test for quality of Means Sig. - talled df...
A researcher is interested to see if there is an average difference in the age of male v. female CJ381 students. To examine this, she conducts a t-test. The SPSS output is shown below: Group Statistics sex N age in years 224 HL Mean 19.83 256 19.86 female male Std. Deviation 2.063 1.965 Std. Error Mean 138 123 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means sia Mean Difference 95% Confidence interval of the...
A behavioral psychologist would like to see if average
high school GPA depends on whether the student is a user of
e-cigarettes (such as a JUUL) or not. She conducted an independent
samples t-test comparing the means of high school GPA between
students who have used an e-cigarette within the past 7 days and
students who have not used an e-cigarette within the past 7
days.
The results of this hypothesis test Ho: µ1 = μ2 vs. Ha:
µ1 ≠...