The null hypothesis states there will be no difference in scores on the ADS between face-to-face counseling and video conference counseling.
The results are t(38) = 0.258, p = .798.
Group Statistics
|
Group |
N |
Mean |
Std. Deviation |
Std. Error Mean |
|
ADS face to face video |
20 20 |
9.2500 9.0000 |
3.14350 2.97357 |
.70291 .66491 |
Independent Samples Test
|
Levene’s Test for Equality of variance |
t-test for Equality of Means |
|||||||||
|
F |
Sig. |
t |
df |
Sig. (2-tailed) |
Mean Difference |
Std. Error Difference |
95% Confidence Interval of the difference |
|||
|
lower |
Upper |
|||||||||
|
ADS Equal variances assume Equal variances not assumed |
.108 |
.744 |
.258 .258 |
38 37.883 |
.798 .798 |
.25000 .25000 |
.96757 96757 |
-1.70874 -1.70893 |
2.20874 2.20893 |
|
What type of study design is used? Please explain.
Does the study design accurately test the null hypothesis?
Is the correct statistical test used to analyze the data? Why? Why not?
Regardless of whether or not the correct statistical test was used, are the results statistically significant? Social science research uses a p-value of .05 to determine statistical significance.
Does the researcher reject or fail to reject the null hypothesis?
The null hypothesis states there will be no difference in scores on the ADS between face-to-face...
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...
Need help to write the Explain the output results and null
hypothesis between two variables below.
Below are the two variables
that I use for the Output above.
Q1
Overall, how would you rate the quality of life for you and your
family today? Would you say it is... excellent, very good, good,
fair or poor?
1 Excellent
2 Very good
3 Good
4 Fair
5 Poor
8 (DO NOT
READ) Don’t know
9 (DO NOT
READ) Refused
SEX
RECORD...
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...
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 moar 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 P-test...
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...
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...
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...
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 moar 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 -test...
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...
Use SPSS and work the difference of two means problem Your task is to determine if Weight Lifters of Group B have more weight gain than Weight Lifters of Group A. Translate your computer readout into the 6 step hypothesis testing model. Test the assumption at 5% error. Remember, is this a one-tailed or two-tailed alternative hypotheses? What type of test does SPSS conduct (one or two- tailed)? Pay attention to your critical value. Weight Gain Weight Lifters - Group...