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[Note: This Sample is to help you establish a frame of reference. You should not just “fill in the blanks” but rather use to see what kind if things you might want to include in your narrative.]

1.  Frequency distribution of a variable and bar graph of the same variable

[INSERT STATCRUNCH FREQUENCY DISTRIBUTION HERE]

[INSERT GRAPH HERE – EITHER BAR GRAPH OR HISTOGRAM]

Sample Text: A frequency distribution and bar graph of the group studied indicated that __ or more of the sample [DESCRIBE DISTRIBUTION – IS IT SKEWED, NORMALLY DISTRIBUTTED, ETC.  DO ANY PERCENTAGES STICK OUT?] –

2. Descriptives of a continuous variable: mean, median, mode, skewness, kurtosis, standard deviation

[INSERT STATCRUNCH OUTPUT HERE]

Sample Text:  The variable I chose was____.  Out of a sample size of __ , we can see that the ___ that occurs most often is __.  The average (mean) ___ is ___ and the median is ____.  The data is ____ skewed because the ___ is less than the ___ .  The standard deviation is ___, which tells us how much, on average, the ___ deviate from the mean.

3.  Cross tabulation of two variables

[INSERT STATCRUNCH OUTPUT HERE]

INCLUDE NULL AND ALTERNATIVE HYPOTHESIS

Sample Text:   The contingency table above shows the relationship between [VARIABLE] and [VARIABLE].  .   We can see that __% of the subjects do not have ___ while   __ have been diagnosed with ___ .  Further, looking at the __% that do have ___, __% have a ___.  This was the largest number that jumped out and lead me to think that there would be a relationship between _____ and ______.  According to the Chi square test, this was not true.  Therefore, there is no relationship between ____ and ____ .

[COMMENT ON SOME OF THE KEY PERCENTAGES TO DEMONSTATE YOU KNOW WHAT YOU ARE LOOKING AT]

4.  Comparison of the effect of two or more groups (single variable) on a single continuous variable [note:  Can also be discrete if it is an interval or ratio variable)

[INSERT STATCRUNCH OUTPUT HERE]

INCLUDE NULL AND ALTERNATIVE HYPOTHESIS

Sample Text:  This ___ was used to compare the _____ for __ independent groups (_____,_____, and _____).  The F statistic is ____ and the p value is ____ .  The test statistic is not statistically significant; therefore, we accept the null hypothesis that there is no difference between the means of the 3 groups.

[COMMENT ON ANY MAJOR  DIFFERENCES YOU SEE, ETC.]

5.  Scatterplot of two continuous variables

[INSERT STATCRUNCH OUTPUT HERE]

The scatterplot does not visually show a relationship between ____ and ____.   This suggest that there is ____ relationship between _____ and _____.

6.  Correlation between the two continuous variables (from #5)

[INSERT STATCRUNCH OUTPUT HERE]

Sample Text:  The correlation between ____ and ____ is ____, which is _____ at the 0.05 level, so we would ___ the null hypothesis that there is no relationship between ____ and ____.  The r value is ____ because it is more than the critical value (___).    About ___  of the variability in ___ is explained by the variability ____ .  This would be a ____ predictor of ___ based on ____ .

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