To make a bar chart: Analyse—˃ desсrіptive stats —˃ frequency—˃ put your IV’s in

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To make a bar chart: Analyse—˃ desсrіptive stats —˃ frequency—˃ put your IV’s in

To make a bar chart: Analyse—˃ desсrіptive stats —˃ frequency—˃ put your IV’s in the dependent list (your profiling) —˃ charts —˃ bar chart —˃ continue —˃ ok —˃ save to word doc a picture – If your bar chart only has two bars, no need to report it. Only three or more need to report To add a percentage to the pie chart: Double click graph —˃ right click —˃ show data label —˃ close —˃ save to word doc a picture – Screenshot your results and values, but remember to only use your graphs for the report. When you screenshot the graph, do not screenshot the title. – You can decide which graph you wish to use to represent your data.
For research hypothesis: Analyse —˃ desсrіptive statistics —˃ explore —˃ dv to dependent list —˃ iv to factor list —˃ plots —˃ click histogram —˃ click show normality —˃ ok —˃ copy all desсrіptive statistics to word doc With your results double click the histogram —˃ put your IV in brackets next to your DV at the bottom —˃ click the bell icon at the top (far left) —˃ do the same for the second histogram —˃ save to word doc a picture
T test: Analyse —˃ compare mean —˃ independent sample t test —˃ dv to test variable —˃ iv to grouping variable —˃ define group (1, 2) —˃ ok —˃ screenshot – look at Lavene’s test (larger than 0.5 is pooled t, less is unpooled t) – Look at one-sided/two-sided p (larger than .5 is no significant evidence, less is significant) – If your test is significant, report effect size (look at Cohen’s d)
Profiling: 1) your tables for your profiling and iv 2) two charts if you have two profiling, one chart if you have one profiling RH: 1) Should have mean and standard dev 2) box plot 3) two histograms with bell curve 4) normality test result 5) independent t test result (3 tables)

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