SAMPLE
[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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