Using IBM SPSS 19 Descriptive Statistics - CBU

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This is not very well documented, but the first thing we need to do for c 2 is to tell SPSS which column contains the frequency counts. Choose Data>Weight Cases... from the menu, and in the window that opens, choose Weight cases by and move the variable count under Frequency Variable. Then click OK. Now choose Analyze>Descriptive Statistics>Crosstabs... from the menu. In the window that opens, move Education[educ] under Row(s) and Policy[policy] under Column(s). Next click Statistics..., and in the window that opens, check only Chi-square, and then click Continue. Next click Cells.... 38
Check Observed and Expected under Counts, followed by Continue and OK. The first table of output simply provides a table of the Counts and the Expected Counts if the variables are independent. From the second table, the Pearson Chi-Square statistic is 22.502 with a p-value ( Asymp. Sig. (2-sided)) of .001. Thus, for instance, we would reject the null hypothesis at the a=.01 level of significance. Notice the note that 16.7% of the cells have expected counts less than 5 and the minimum expected count is 4.5. Typically, we need no more than 20% of the expected counts less than 5 with a minimum expected count of at least 1. Nonparametric Tests The Wilcoxon Matched-Pairs Signed-Rank Test. For data, we use cardiac output (liters/minute) of 15 postcardiac surgical patients. The data is as follows: We want to test the hypotheses 4.91 4.10 6.74 7.27 7.42 7.50 6.56 4.64 5.98 3.14 3.23 5.80 6.17 5.39 5.77 H 0 : m=5.05 H a : m≠5.05 We enter the data by putting the numbers above in the first column, labeled output. Because we are using a matched-pairs test, we create the matched pairs by entering the test value 5.05 fifteen times in the second column, labeled constant. The Data View looks as at the top of the next page. 39
Page 1 and 2: Using IBM SPSS 19* Descriptive Stat
Page 3 and 4: Sorting the Data. From the menu, ch
Page 5 and 6: Then click OK. This opens an output
Page 8 and 9: Now click on a number on the horizo
Page 10 and 11: Then click back to Data View. From
Page 12 and 13: cumulative Poisson probabilities ar
Page 14 and 15: Confidence Intervals and Hypothesis
Page 16 and 17: and again press Add. Then hit OK an
Page 18 and 19: discount this hypothesis, so we wil
Page 20 and 21: H 0 : m N = m F = m C H a : Not all
Page 22 and 23: The results of the Test of Homogene
Page 24 and 25: Then click OK to get the following
Page 26 and 27: Then click Continue followed by OK
Page 29 and 30: for the mean value m y|74.5 is ( 32
Page 31 and 32: Choose Analyze>Regression>Linear...
Page 33 and 34: Finally, consider the residual plot
Page 35 and 36: Choosing a Model using Curve Estima
Page 37: Chi-Square Test of Independence For
Page 41 and 42: The Z in the second table is the st
Page 43 and 44: To create the control chart(s), cli
Page 45 and 46: Control Charts for the Proportion.

Using IBM SPSS 19 Descriptive Statistics - CBU

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