Conclusion male and female students on average differ intheir grade expectation

# Conclusion male and female students on average differ

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Conclusion – male and female students on average differ intheir grade expectation for MKF2121Mission accomplished?
10/04/2019 18 How do you really “answer” a research question? The ritualistic dance of hypothesis testing 1. Problem Definition 2. Clearly State the Null and Alternative Hypotheses 3. Choose the relevant statistical test 4. Calculate p-value 5. Is p-value<0.05? No Do not reject null Reject null hypothesis Yes 52 1. Problem definition 4/10/2019 53 You have done this already, i .e., your research question do male and female students differ on average in their grade expectation for MKF2121? 2. Clearly state null and alternative hypothesis 4/10/2019 54 Null hypothesis (H 0 ) (no difference/relationship) no difference, or no association between variables if null hypothesis is not rejected, no changes will be made Example. H 0 : Male and female students on average do not differ in their grade expectation for MKF2121 Alternative hypothesis (H 1 ) (what would be true if the null hypothesis is wrong) difference or association is expected accepting the alternative hypothesis will lead to changes in opinions or actions Example. H 1 : Male and female students on average differ in their grade expectation for MKF2121 Make sure that your H 0 and H 1 leave nothing out!
10/04/2019 19 55 Some more examples of RQ and their hypotheses RQ 1 – is there an association between customer satisfaction with staff friendliness and overall satisfaction with Crown casino? H0 – There is no association between customer satisfaction with staff friendliness and overall satisfaction with the casino H1 – There is an association between customer satisfaction with staff friendliness and overall satisfaction with the casino RQ 2 – is there a difference in customer satisfaction between frequent casino visitors and casual casino visitors? H0 – There is no difference in customer satisfaction between frequent and casual visitors H1 –frequent and casual visitors exhibit different levels of customer satisfaction 3. Choose the relevant statistical test 4/10/2019 56 Hypothesis Testing Test of Association (relational RQ) Test of Differences (comparative RQ) Means Proportions Different forms of t test Cross tabulation Correlation Multiple regression 4 . Calculate p-value (i.e., run the test in SPSS) 4/10/2019 57 P-value = 0.868 > 0.05, therefore we do not reject null hypothesis Conclusion : Male and female students on average do not differ in their grade expectation for MKF2121 Group Statistics Q9 N Mean Std. Deviation Std. Error Mean Q7 Male 37 77.38 7.236 1.190 Female 69 77.13 7.300 .879 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2- tailed) Mean Differen ce Std. Error Differen ce 95% Confidence Interval of the Difference Lower Upper Q7 Equal variances assumed .215 .644 .167 104 .868 .248 1.483 -2.693 3.189 Equal variances not assumed .168 74.306 .867 .248 1.479 -2.699 3.195
10/04/2019 20 Some key terms you will see a lot in the next few weeks 58 Null vs. alternative hypotheses Reject or not reject the null hypothesis P-value Recap: the 5‐step process of hypothesis testing 1. Problem Definition 2. Clearly State the