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Statistics Project Part3: Comparing Means

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 t-test or a one-way 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’ t-test or a one-way ANOVA.

Summarize the results of the calculation in 45 to 90 words.

  • attachment

    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

  • attachment

    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

    image1.png

    image2.png

    image3.png

    image4.png

    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.

  • attachment

    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= 0-100
    Reading Score Scale= 0-100
    Total Score Scale= 0-200
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