SPSS data interpretation:

Part 1:
Correlation between Cost and Calories (correlation coefficient, the significance of the correlation coefficient, i.e., p-value, and sample size are reported)
Correlations
Cost per 12 Fluid Ounces for brand Calories per 12 Fluid Ounces for brand
Cost per 12 Fluid Ounces for brand Pearson Correlation 1 .214
Sig. (2-tailed) .216
N 35 35
Calories per 12 Fluid Ounces for brand Pearson Correlation .214 1
Sig. (2-tailed) .216
N 35 35

Correlation between Cost and Alcohol Volume (correlation coefficient, the significance of the correlation coefficient, i.e., p-value, and sample size are reported)
Correlations
Cost per 12 Fluid Ounces for brand Alcohol by Volume (in %) for brand
Cost per 12 Fluid Ounces for brand Pearson Correlation 1 .199
Sig. (2-tailed) .252
N 35 35
Alcohol by Volume (in %) for brand Pearson Correlation .199 1
Sig. (2-tailed) .252
N 35 35

Based on the correlation coefficients (r-values) that were computed and their statistical significance, what conclusions do you draw regarding
1.The researcher's question of correlation between the cost of beer and the number of calories it contains?
2.The researcher's question of correlation between the cost of beer and the volume of alcohol it contains?

Part 2:


Describe a study you might design that could use the Chi Square statistic. What are the variables? What are the null and alternative hypotheses? Why would the Chi Square test be appropriate for this design? What would the Chi Square statistic indicate in relation to your research question? What would it not indicate? Be specific and use your sample study to illustrate your answers. This response does not need to be supported with external research.

Part 3:
Considering your personal research interest, which of the methods described in this course do you believe will be most useful to your research? Why? This response does not need to be supported with external research.