StatCrunch Procedures – Summary (StatCrunch Help) <\/p>\n
Qualitative Data \u2013 Frequency or Relative Frequency Bar Graph <\/p>\n
With Data:<\/p>\n
Graph, Bar Plot, With Data, Select Column(s), Select Type (Frequency or Relative Frequency), Order By: Choose Worksheet, Display: Check the Value Above Bar, Optionally enter Graph Properties, Compute! <\/p>\n
With Summary: <\/p>\n
Graph, Bar Plot, With Summary, Categories in: Select column with names of categories, <\/p>\n
Counts in: Select column with categories frequencies, Select Type (Frequency or Relative Frequency, Order By: Choose Worksheet, Display: Check the Value Above Bar, Optionally enter Graph Properties, Compute! <\/p>\n
Qualitative Data \u2013 Frequency or Relative Frequency Distribution Table <\/p>\n
With Data: Stat, Tables, Frequency, Select Column, Statistics: Choose desired statistic(s) (normally Frequency or Relative Frequency), Compute! <\/p>\n
Relative Frequency With Summary: First Create a Relative Frequency Bar Graph as above; then <\/p>\n
create the Distribution Table obtaining the Relative Frequencies from the Values above the Bars <\/p>\n
Qualitative Data – Pareto Chart<\/p>\n
Create a Bar Graph as above; In the Order By: Choose \u201cCount Descending\u201d<\/p>\n
Qualitative Data – Pie Chart<\/p>\n
Graph, Pie Chart, With Data or Summary, Display: Count and Percent of Total<\/p>\n
5. Quantitative Data \u2013 Histogram (Frequency or Relative Frequency)<\/p>\n
Graph, Histogram, Select Column(s) with Data, Select Type, Bins: Do not enter to use<\/p>\n
StatCrunch defaults or enter desired values, Display options: Check the Value Above Bar, Optionally enter Graph Properties, Compute! <\/p>\n
6. Quantitative Data \u2013 Distribution Table (Frequency or Relative Frequency)<\/p>\n
First create a Histogram as above, then from the x-axis of the graph, determine width and starting point of each class, then determine corresponding Frequencies by reading the values above each bar<\/p>\n
7. Summary Statistics<\/p>\n
Stat, Summary Stats, Columns(s), Select the statistics you want. Select multiple by holding the CTRL key while clicking on a choice, Compute! <\/p>\n
Note: for Standard Deviation: <\/p>\n
Sample, choose Std. Dev.; <\/p>\n
Population, choose Unadj. Std. Dev. <\/p>\n
8. Quantitative Data \u2013 Mean for Grouped data<\/p>\n
Stat, Summary Statistics, Grouped \/ Binned Data<\/p>\n
Bins in: Classes <\/p>\n
Counts in: Frequencies <\/p>\n
Check Consecutive lower limits for Midpoint\u2019s calculations <\/p>\n
Choose the Statistic: mean, std. dev. <\/p>\n
9. Quantitative Data \u2013 Weighted Mean <\/p>\n
Stat, Calculators, Custom <\/p>\n
Values in: Column containing the data whose average we are seeking Weights in: Column containing the weights <\/p>\n
Compute! <\/p>\n
10. Box Plot <\/p>\n
Graph, Box Plot, Select Column(s), Check both of “Other Options\u201d; On the generated Box Plot: Place the cursor over an outlier to get info about it. Place the cursor over the box plot to get info about the five-number summary. <\/p>\n
11. Scatter Diagram (Plot) <\/p>\n
Graph, Scatter Plot, Select X Variable column, Select Y Variable column, Display: Points, Optionally enter Graph Properties, Compute! <\/p>\n
12. Correlation <\/p>\n
Stat, Summary Stats, Correlation <\/p>\n
13. Regression <\/p>\n
Stat, Regression, Simple Linear, Select Column for X Variable, Select Column for Y Variable. (Optionally: enter Save: Residuals, Predicted values for Y: enter desired x value), Compute! <\/p>\n
14. Discrete Probability Distribution: Mean & Std Dev <\/p>\n
Stat, Calculators, Custom, Values in: Column containing the Discrete variable X, <\/p>\n
Weights in: Column containing the Probabilities for X: P(X), Compute! <\/p>\n
Binomial Probability <\/p>\n
Stat, Calculators, Binomial <\/p>\n
Normal Probability Distribution <\/p>\n
Stat, Calculators, Normal <\/p>\n
17. Find Areas (Probabilities) Under Normal Curve <\/p>\n
Stat, Calculators, Normal, Select Standard or Between, Input the values for Mean and Std. Dev., Select the inequality sign, Input the value for X, Compute! <\/p>\n
NOTE: For the Standard Normal Curve, use Mean = 0 and Std. dev. = 1 <\/p>\n
18. Find X-value under a Normal Probability Curve <\/p>\n
Stat, Calculators, Normal, Select Standard or Between, Input the values for Mean and Std. Dev., Select the inequality sign, Input Probability (Area) in the Probability field (rightmost), Compute! <\/p>\n
NOTE: For the Standard Normal Curve, use Mean = 0 and Std. dev. = 1 <\/p>\n
19. Normal Probability Plot (QQ Plot) <\/p>\n
Graph, QQ Plot, Select Columns, ADD: Check Correlation Statistics, Other Options: Check Normal Quantiles on Y-axis, Compute! <\/p>\n
20. T-Distribution <\/p>\n
Stat, Calculators, T <\/p>\n
21. Find Areas (Probabilities) Under t-Distribution Curve <\/p>\n
Stat, Calculators, T, Select Standard or Between, Input the value for Degrees of <\/p>\n
Freedom (n \u2013 1), Select the inequality sign, Input the value for t, Compute! <\/p>\n
22. Find t-value under a t-Distribution Curve <\/p>\n
Stat, Calculators, T, Select Standard or Between, Input the value for Degrees of <\/p>\n
Freedom (n \u2013 1), Select the inequality sign, Input Probability (Area) in the Probability field (rightmost), Compute! <\/p>\n
23. Find Areas (Probabilities) of x that is Normally Distributed <\/p>\n
Stat, Calculators, Normal, Select Standard or Between, Input the values for Mean <\/p>\n
(\u00b5x = \u00b5) and Std. Dev. (\u03c3x = \u03c3n), Select the inequality sign, Input the value for x, Compute!<\/p>\n
24. Find Areas (Probabilities) of p that is Normally Distributed <\/p>\n
Stat, Calculators, Normal, Select Standard or Between, Input the values for Mean <\/p>\n
(\u00b5p = p) and Std. Dev. (\u03c3p= p(1-p)n), select the inequality sign, Input the <\/p>\n
value for X ( p), Compute! <\/p>\n
25. Confidence Interval \u2013 One Proportion <\/p>\n
Stat, Proportion Stats, One Sample, With Summary (or With Data, if available), Input # of successes and observations, Select Confidence Interval Level (leave Method as is), Compute! <\/p>\n
26. Confidence Interval \u2013 Proportion \u2013 Sample Size <\/p>\n
Stat, Proportion Stats, One Sample, Width\/Sample Size, Confidence Level: enter desired level, Target proportion if given, otherwise enter 0.5, Width (twice the Error) <\/p>\n
27. Find Critical Value z\u03b12 <\/p>\n
Stat, Calculators, Normal, Select Standard, Input Mean = 0 and Std. Dev =1, <\/p>\n
Select the inequality sign for \u2265, enter the \u03b12 value in the Probability field (rightmost), Compute! <\/p>\n
28. Confidence Interval \u2013 One Mean <\/p>\n
Stat, T Stats, One Sample, With Summary (or With Data, if available), Input Sample Mean, Sample Std. Dev, Sample Size, Select Confidence Interval and Input the Desired Confidence Level, Compute! <\/p>\n
29. Confidence Interval \u2013 Mean \u2013 Sample Size <\/p>\n
Stat, T Stats, One Sample, Width\/Sample Size, Confidence level: desired level, Std. Dev., Width: twice error, Compute! <\/p>\n
30. Find Critical Value t\u03b12Stat, Calculators, T, Select Standard, Degrees of Freedom (n-1), <\/p>\n
Select the inequality sign for \u2265, enter the \u03b12 value in the Probability field (rightmost) <\/p>\n
31. Confidence Interval \u2013 Variance or Standard Deviation <\/p>\n
Stat, Variance Stats, One Sample, With Summary (or With Data, if available), Input Sample Variance, Sample size, Select Confidence Interval and Input the Desired Confidence Level, Compute! <\/p>\n
32. Find Critical Value \u03c71-\u03b122 and \u03c7\u03b122Stat, Calculators, Chi-Square, Select Between, Degrees of Freedom (n-1), enter the (1\u2212\u03b1) value in the Probability field (rightmost), Compute! <\/p>\n
Hypothesis Testing \u2013 One Population Proportion <\/p>\n
Stat, Proportion Stats, One Sample, With Summary (or With Data, if available) <\/p>\n
Hypothesis Testing \u2013 One Population Mean <\/p>\n
Stat, T Stats, One Sample, With Summary (or With Data, if available) <\/p>\n
Hypothesis Testing \u2013 One Population Variance, Standard Deviation <\/p>\n
Stat, Variance Stats, One Sample, With Summary (or With Data, if available) <\/p>\n
Hypothesis Testing \u2013 Two Populations Proportions <\/p>\n
Stat, Proportion Stats, Two Samples, With Summary (or With Data, if available) <\/p>\n
Hypothesis Testing \u2013 Two Means: Dependent (Paired) Samples <\/p>\n
Stat, T Stats, Paired, Good idea to Save differences by clicking on the check box <\/p>\n
Hypothesis Testing \u2013 Two Means: Independent Samples <\/p>\n
Stat, T Stats, Two Samples, With Summary (or With Data, if available) <\/p>\n
Hypothesis Testing \u2013 Goodness of Fit <\/p>\n
Stat, Goodness-of-Fit, Chi-Square test <\/p>\n
40. Hypothesis Testing \u2013 Test of Independence <\/p>\n
Stat, Tables, Contingency, With Summary: <\/p>\n
In the Select Columns area, choose the Columns containing the values of the Column Variable <\/p>\n
In the Row Labels, choose the column containing the name of the Row Variable <\/p>\n
In the Display area choose \u201cExpected Counts\u201d <\/p>\n
In the Hypothesis tests area, choose \u201cChi-Square test for independence\u201d <\/p>\n
41. Hypothesis Testing \u2013 Test the Homogeneity of Proportions <\/p>\n
Same procedure as for Test of Independence <\/p>\n
42. Comparing Three or more Means (ANOVA) <\/p>\n
Stat, ANOVA, One Way, Choose the columns containing the three or more samples. <\/p>\n
43. Two-Way Analysis of Variance (ANOVA) <\/p>\n
In column var1, enter the level of factor A; in column var2, enter the level of factor B; and in column var3, enter the value of the response variable. Name the columns. <\/p>\n
Stat, ANOVA, Two Way, Select the column containing the values of the response variable from the pull-down menu \u201cResponses in:\u201d, <\/p>\n
Select the column containing the row factor in the pull-down menu \u201cRow factor in:\u201d, <\/p>\n
Select the column containing the column factor in the pull-down menu \u201cColumn factor in:\u201d, Select the \u201cPlot interactions\u201d box for Interaction Plots and \u201cthe Compute Tukey HSD\u201d box to conduct Tukey\u2019s test, To save residuals to draw a normal probability plot, highlight Residuals under Save:, Compute! <\/p>\n","protected":false},"excerpt":{"rendered":"
StatCrunch Procedures – Summary (StatCrunch Help) Qualitative Data \u2013 Frequency or Relative Frequency Bar Graph With Data: Graph, Bar Plot,<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-38758","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\n