Statistics Project Part3: Comparing Means
Statistics Project Part3: Comparing Means
**PLEASE USE ATTACHMENTS**
As you get closer to the final project in Week 6, you should have a better idea of the role of statistics in research. This week, you calculate your first inferential stats on your data set. You may calculate an independent ttest or a oneway ANOVA for the independent groups. Reading and interpreting the output correctly is highly important. Most people never see the actual output or data; they read the results statements by the researcher, so your summary must be accurate.
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Calculate the independent groups’ ttest or a oneway ANOVA.
Summarize the results of the calculation in 45 to 90 words.

PSYCH625WK2StatisticsProjectPart1ImportingDataintoIBMSPSSSoftware.doc
Statistics Project, Part 1: Importing Data into IBM SPSS Software 1
Frequencies Table
College no college some college Caffeine Caffeine yes no yes no Count Count Count Count Gender Male Test Prep no preparation 3 0 3 0 moderate preparation 2 0 1 1 high preparation 0 0 0 1 Female Test Prep no preparation 3 1 1 1 moderate preparation 1 0 4 1 high preparation 0 0 1 0 College associate’s degree bachelor’s degree Caffeine Caffeine yes no yes no Count Count Count Count Gender Male Test Prep no preparation 0 0 0 0 moderate preparation 5 1 2 1 high preparation 1 2 1 0 Female Test Prep no preparation 1 0 1 0 moderate preparation 6 0 2 0 high preparation 1 0 2 0 The number of males that had no preparation in the test took caffeine. Those who had moderate preparation only three did not take caffeine, which were one from some college, one from associate’s degree and one from bachelor’s degree. Majority of males had moderate preparation were under associates degree and bachelor’s degree and most took caffeine. There is a low number of males who had high preparations and majority of them took caffeine. Majority of females took caffeine and were highly prepared. Statistics Project Part3: Comparing Means

PSYCH625WK3StatisticsProjectPart2DescriptiveStatisticsandHypothesis.doc
Statistics Project, Part 2: Descriptive Statistics and Hypothesis 2
Statistics Project, Part 2: Descriptive Statistics and Hypothesis
Marcela Montoya
PSYCH 625
Dr. Washington
November 16, 2017
Statistics Age Math Score Reading Score Total Score N Valid 50 50 50 50 Missing 0 0 0 0 Mean 32.02 75.00 75.78 150.78 Std. Error of Mean .614 1.793 1.633 3.044 Std. Deviation 4.340 12.675 11.550 21.522 Variance 18.836 160.653 133.400 463.196 Skewness .189 .699 .793 .803 Std. Error of Skewness .337 .337 .337 .337 Histogram
H0: The Total score is proportional to the math score
H1: Anything else.
We reject the null hypothesis since the math test scores do not seem to have an effect on the total scores. The normal curves of both the math scores and total score are different. The skewness of the math score is also less than the skewness of the total score .699<.803.

PSYCH625WK2Dataset_Option_1.xls
Data
Gender Age College Caffeine Test Prep Math Score Reading Score Total Score 1 29 1 1 2 75 78 153 2 32 4 1 3 90 96 186 1 39 1 1 1 45 50 95 1 25 2 1 2 50 79 129 1 27 1 1 1 55 45 100 2 33 3 1 2 67 80 147 2 36 3 1 2 78 70 148 1 28 3 1 3 92 75 167 1 34 3 2 3 84 82 166 2 32 2 1 2 56 79 135 2 31 1 1 1 67 53 120 2 38 1 1 1 60 80 140 2 27 3 1 2 72 88 160 2 29 4 1 2 83 92 175 1 26 4 1 2 81 75 156 1 39 4 1 3 90 82 172 1 40 1 1 1 64 78 142 2 37 2 1 1 69 95 164 2 37 3 1 1 88 69 157 1 29 3 2 2 74 80 154 1 29 3 1 2 86 70 156 1 30 2 1 1 57 67 124 2 36 3 1 3 90 85 175 1 30 3 1 2 66 70 136 2 30 2 1 2 79 72 151 2 35 4 1 2 83 80 163 1 27 3 2 3 87 85 172 2 31 2 1 3 84 80 164 2 38 1 1 2 65 75 140 2 38 3 1 2 79 75 154 1 34 2 1 1 52 60 112 2 28 3 1 2 91 85 176 1 29 2 2 2 74 77 151 1 32 4 2 2 82 80 162 1 35 2 2 3 86 85 171 1 35 3 1 2 72 67 139 2 37 2 1 2 81 85 166 2 29 3 1 2 84 81 165 1 40 4 1 2 87 83 170 2 27 4 1 1 79 74 153 1 27 2 1 1 82 60 142 1 34 1 1 2 78 75 153 2 34 1 2 1 67 50 117 2 25 2 2 2 86 80 166 2 25 1 1 1 49 58 107 2 29 2 1 2 76 82 158 1 30 3 1 2 87 90 177 1 30 3 1 2 72 75 147 2 35 2 2 1 59 64 123 2 34 4 1 3 90 93 183 Information
Variable Description of Values Gender Sex (1= Male, 2=Female) Age Chronological Age (in years) College College Experience (1=no college, 2=some college, 3=associate’s degree, 4=bachelor’s degree Caffeine Regular Caffeine Use (1=yes, 2=no) Test Preparation Level of Preparation (1=no preparation, 2=moderate preparation, 3=high preparation) Math Score Scale= 0100 Reading Score Scale= 0100 Total Score Scale= 0200
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