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For this assignment, I chose the variables Section and Grade. Within SPSS I recoded the grade data to get the data from string-like to numeric.

For this assignment, I chose the variables Section and Grade. Within SPSS I recoded the grade data to get the data from string-like to numeric. However, I feel like I have done a million T-tests and correlations and still have no idea if my variables correlate. I think the fact that my results don't have an asterisk when it normally does. I am completely thrown off. Could somebody please please help me figure out what tests I need to run to determine if these variables correlate? I have posted the question below along with a picture of the results I received. PLEASE HELP ME! I may be overthinking this but I am beyond stuck and don't know where to go or what to do.

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Variables Throughout this course, you will work on developing a research project using data from the "gradessav" dataset, which contains archival data. Archival data is preexisting data that has been collected by another individual or organization, and is available to be analyzed enabling us to draw new conclusions about the data. In Assessment 2, you will begin to create your research proposal. Begin by selecting two variables of your choice from the following list of variables from the gradessav dataset. View the Data Set Instructions [M] that includes information on the variables in the data set including their scale of measurement. These are the variables that you will use throughout the course in your research project. section Class section Nominal Previous gpa grade point Scale average Did extra 1 = no; 2 = extcr credit Nominal yes project? Attended 1 = no; 2 = review review Nominal yes sessions? Quiz 1: number of quiz 1 Scale correct answers Quiz 2: number of quiz2 Scale correct answers Quiz 3: number of quiz3 Scale correct answers Quiz 4: number of quiz4 Scale correct answers Quiz 5: number of quiz5 Scale correct answers Final exam: final number of Scale correct answers Total number of total Scale points earned percent Final percent Scale grade Final grade NominalGroup AIndependent Variables from the table above include: - Gender. 0 Ethnicity. . Year. - Lowup. - Section. - Extcr. - Quiz1. I Quiz 2. 0 Quiz 3. 0 Quiz 4. 0 Quiz 5. Group BDependent Variables from the table above include: 0 Final 0 Total. 0 Percent. 0 Grade. 0 Passfail. Bar Chart 20 section 15 Count 5 1 2 3 4 5 grade Symmetric Measures Asymptotic Approximat Approximat Standard e Tb e Error Significanc Value e Nominal by Nominal Contingency .336 .100 Coefficient rdinal by Ordinal Gamma .151 .130 1.156 .248 Spearman Correlation 119 103 1.215 .227 Interval by Interval Pearson's R 128 .106 1.309 193 N of Valid Cases 105 a. Not assuming the null hypothesis b. Using the asymptotic standard error assuming the null hypothesis. c. Based on normal approximation. Correlations section grade section Pearson Correlation 128 Sig. (2-tailed) 193 Sum of Squares and 66.000 11.000 Cross-products Covariance .635 .106 N 105 105 grade Pearson Correlation 128 Sig. (2-tailed) .193 Sum of Squares and 11.000 111.962 Cross-products Covariance 106 1.077 N 105 105T-Test One-Sample Statistics Std. Std. Error N Mean Deviation Mean grade 105 2.45 1.038 101 section 105 2.00 797 078 One-Sample Test Test Value = 0 95% Confidence Interval Sig. (2- Mean of the Difference t df tailed) Difference Lower Upper grade 24.172 104 000 2.448 2.25 2.65 section 25.726 104 .000 2.000 1.85 2.15 grade * section Crosstabulation Count section 1 2 3 Total grade 10 7 20 10 16 10 36 UAWNE 11 15 10 36 5 3 8 3 5 Total 33 39 33 105 Chi-Square Tests Asymptotic Significanc Value df e (2-sided) Pearson Chi-Square 13.364a 100 Likelihood Ratio 17.623 024 - 00 Linear-by-Linear 1.703 .192 Association N of Valid Cases 105 a. 6 cells (40.0%) have expected count less than 5. The minimum expected count is 1.57

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