With the following data, how can we determine No Invisibility CloakN = Mean = _______acts α = ______ acts Invisibility cloak N = Mean = _______acts S = ______ acts Invisibility Cloak: Independent samples t-testThis data set, "Invisibility Cloak", provides the number of mischievous acts committed by two groups of people, those with and those withoutand invisibility cloak.Variables:Participant - Identification number of a participant.Cloak - Experimental group (0 = withouth a cloak of invisibility. 1 = with a cloack of invisibility).- Mischief - the number of mischievous acts committed by a participant.%3D%3DThis example JASP file demonstrates the use of an independent samples t-test. Specifically, we examine the adequacy of the null hypothesisthat the Invisibility Cloak has no effect on the number mischievous acts committed.Reference:Field, A. P. (2017). Discovering Statistics Using IBM SPSS Statistics (5th ed.). London: Sage. [Fictional data set]The data set was constructed by Andy Field who therefore owns the copyright. Andy Field generously agreed that we can include the dataset in the JASP data library. This data set is also publicly available on the website that accompanies Andy Field's book,https://edge.sagepub.com/field5e. Without Andy Field's explicit consent, this data set may not be distributed for commercial purposes, thisdata set may not be edited, and this data set may not be presented without acknowledging its source (i.e., the terms of a CC BY-NC-NDlicense).Independent Samples T-TestIn order to run the analysis select Independent t-test under T-Tests. Drag your independent variable. e.g, Group membership, into the box"Grouping Variable", and drag your dependent variable into the box "Dependent Variables" This will automatically start the analysis. Seefurther notes for a closer explanation.Independent Samples T-TestTestStatisticdfMean DifferenceSE DifferenceCohen's dMischiefStudent-171322.0000.101-1.2500 7300.101-0.700-0.700Welch-1.71321.541-1.2500.730StudentWelchParticipant-8 152-8.15222 00022.000* 001

Question

With the following data, how can we determine No Invisibility Cloak​​​N = Mean = _______acts α = ______ acts Invisibility cloak N = Mean = _______acts S = ______ acts Invisibility Cloak: Independent samples t-testThis data set, &#34;Invisibility Cloak&#34;, provides the number of mischievous acts committed by two groups of people, those with and those withoutand invisibility cloak.Variables:Participant - Identification number of a participant.Cloak - Experimental group (0 = withouth a cloak of invisibility. 1 = with a cloack of invisibility).- Mischief - the number of mischievous acts committed by a participant.%3D%3DThis example JASP file demonstrates the use of an independent samples t-test. Specifically, we examine the adequacy of the null hypothesisthat the Invisibility Cloak has no effect on the number mischievous acts committed.Reference:Field, A. P. (2017). Discovering Statistics Using IBM SPSS Statistics (5th ed.). London: Sage. [Fictional data set]The data set was constructed by Andy Field who therefore owns the copyright. Andy Field generously agreed that we can include the dataset in the JASP data library. This data set is also publicly available on the website that accompanies Andy Field's book,https://edge.sagepub.com/field5e. Without Andy Field's explicit consent, this data set may not be distributed for commercial purposes, thisdata set may not be edited, and this data set may not be presented without acknowledging its source (i.e., the terms of a CC BY-NC-NDlicense).Independent Samples T-TestIn order to run the analysis select Independent t-test under T-Tests. Drag your independent variable. e.g, Group membership, into the box&#34;Grouping Variable&#34;, and drag your dependent variable into the box &#34;Dependent Variables&#34; This will automatically start the analysis. Seefurther notes for a closer explanation.Independent Samples T-TestTestStatisticdfMean DifferenceSE DifferenceCohen's dMischiefStudent-171322.0000.101-1.2500 7300.101-0.700-0.700Welch-1.71321.541-1.2500.730StudentWelchParticipant-8 152-8.15222 00022.000* 001<001-12 0001.472-3.328-3.328-12.0001.472This table shows the output for the independent samples t-test both the Student t-test and Welch version are shown. The differencesbetween the groups are not statistically significant at the 05 level, which means that the data do not provide much motivation to reject the FactorAssumption ChecksThe assumption checks are not statistically significant at the .05 level.Test of Normality (Shapiro-Wilk)WMischief0.9130.2310.9730.936Participant0.9670.8760.9670.876Note. Significant results suggest a deviation fromnormality.Test of Equality of Variances (Levene's)FdfMischief0 4680.5457.593e-311Participant1.000DescriptivesClick here to add textGroup DescriptivesGroupMeanSDSEMischief123.7505.0001.9130.5521121.6510.477Participant126.5003.6061.0411218.5003.6061.041Descriptives PlotsClick nere to add te

Accepted Answer

Independent samples t-test is a useful inferential procedure in statistics.

With the following data, how can we determine No Invisibility Cloak​​​N = Mean = _______acts α = ______ acts Invisibility cloak N = Mean = _______acts S = ______ acts

With the following data, how can we determine No Invisibility CloakN = Mean = ___acts α = acts Invisibility cloak N = Mean = _acts S = __ acts