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You are replying to another students discussion Board post. The instructions for replying are as follows:

Review another students response to D5.1 and D5.2. Summarize their findings and indicate areas of agreement, disagreement and improvement. Support your view with citations and include a reference section.

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**Discussion Forum 5**

**D5.1 Interpreting Chi-square**

**D5.1a**

In output 8.1 (Pearson) chi-square is not statistically significant because p = 0.056. This p level is more than the preset alpha level probability of 0.05. According to Morgan et al (2013), if this p level was less than 0.05, it means the results are statistically significant and therefore the null would need to be rejected.

**D5.1b**

The expected values as depicted in output 8.1 are at least 80% and the cells are greater than 5 since the minimum is 14.05 as shown in the math grade* gender cross tabulation output and also stated in the footnote under the chi-square test output. It is important because it indicates that the data met the condition of at least 5 in each cell. Additionally, this satisfy the use of the two-sided chi-square test (Morgan et al., 2013).

**D5.2 Measure Strength of the Relationship**

**D5.2a**

Because “father’s education revised” and “mother’s education revised” are at least ordinal data, the most appropriate statistics to measure the strength of the relationship would be the Kendall’s tau-b because father’s education and mother’s education are ordered variables and ordinal data. According to Morgan et al (2013), if the Cramer’s V was used for these variables, it would have treated the cross tabulation as if they are nominal even if they are ordered, thereby resulting in an error in the statistics.

**D5.2b**

The two statistics are different because Kendall’s tau-b measures the strength of the association if both variables are ordinal while Cramer’s V measure the strength of the relationship of two nominal variables when one or more have three or more levels (Morgan et al, 2013).

**References**

Morgan, G., Leech, N., Gloeckner, G., Barrett, K. (2013). IBM SPSS for Introductory Statistics

(5th Ed.). New York, NY.