In: Statistics and Probability
Position on Abortion |
Protestant |
Catholic |
Support |
156 |
86 |
Oppose |
296 |
139 |
a). Treating religious affiliation as the independent variable and support for abortion as the dependent variable, describe the relationship between the two variables presented in the table above. Use the appropriate percentages to defend your claims.
b). Compute the appropriate chi square statistic and use it to determine whether the relationship shown in the table is statistically significant. Use an alpha of .01 and a critical value of 6.635 for this determination.
c). If the relationship depicted in the table is statistically significant, use the appropriate measure of association to determine whether it is a weak, moderate or strong one?
a)
Expected frequency of a cell = sum of row*sum of column / total sum | |||||||
Expected Frequencies | |||||||
protestant | catholic | Total | |||||
support | 452*242/677=161.572 | 225*242/677=80.428 | 242 | ||||
oppose | 452*435/677=290.428 | 225*435/677=144.572 | 435 | ||||
Relatioship seems to be weak.
b)
(fo-fe)^2/fe | ||||||
support | 0.192 | 0.386 | ||||
oppose | 0.107 | 0.215 |
Chi-Square Test Statistic,χ² = Σ(fo-fe)^2/fe
= 0.9
Level of Significance = 0.01
Number of Rows = 2
Number of Columns = 2
Degrees of Freedom=(#row - 1)(#column -1) = (2- 1 ) * ( 2- 1 )
= 1
Critical Value = 6.635 [ Excel function:
=CHISQ.INV.RT(α,DF) ]
Decision: test statistic,X² < critical value , So, Do not reject
the null hypothesis
c)
Not significant
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