Determine the following descriptive statistics:

No Invisibility Cloak Invisibility Cloak

N = _________ n = ________

Mean = _________ acts Mean = _________ acts

s = _________ acts s = _________ acts

Ignore the independent samples test provided automatically when you open the data set and instead run a single sample t-test on the Mischief variable to determine at a = 0.05, is there a significant difference in acts committed while wearing an invisibility cloak compared to the general population.

(Click the pull down arrow next to T-Test One Sample T-Test Select Mischief from the variable list and drag or click to arrow to place it in the test column on the right)

*Please also select the additional statistic of Effect Size and ensure that you are using the correct null hypothesis (is this one-tailed or two, directional or non-directional?)

Write the results of this analysis in APA format: ____________________________________________

What does this mean?

Provide the estimate of effect size (Cohens D) or provide an argument why it would not be appropriate:

+ Descriptives T-Tests ANOVA Mixed Models Regression Frequencies Factor Participant Cloak Mischief + 1 1 1 0 3 2 2 2 1 1 3 3 0 5 4 4 0 4 5 5 5 6 6 0 4 7. 7 0 5 8 e 0 2 2 9 9 0 0 10 10 0 5 11 11 0 4 12 12 0 0 5 13 13 1 1 4 14 14 1 3 Double click to edit data 15 15 1 6 16 16 1 1 17 17 1 B 1B 18 1 5 5 19 19 1 5 20 20 1 1 4 21 21 1 1 2 22 22 1 5 23 23 1 7 24 24 1 5 III + Descriptives T-Tests - ANOVA Mixed Models Regression Regression Frequencies Factor V One Sample T-Test Results Known bug: computed effect sizes ignore the test value. One Sample T-Test Participant Cloak 14 Variables al Mischiel One Sample T-Test T- t df P Mischler 11.519 23 <.001 note. for the student t-test alternative hypothesis specifies that mean is different from note t test. tests wilcoxon signed-rank z test value: additional statistics location estimate cantidence interval effect size canfidence std.deviation: alt.hypothesis o value descriptives plats confidence vovk-sellke maximum p-ratia> Test value Test value