The table to the right contains observed values and expected values in parentheses for two categorical variables, X and Y, where variable X has three categories and variable Y has two categories. Use the table to complete parts (a) and (b) below. (a) Compute the value of the chi-square test statistic. x² = (Round to three decimal places as needed.) (b) Test the hypothesis that X and Y are independent at the x = 0.01 level of significance. O A. Ho: The Y category and X category have equal proportions. H₁: The proportions are not equal. O B. Ho: The Y category and X category are independent. H₁: The Y category and X category are dependent. OC. Ho: The Y category and X category are dependent. H₁: The Y category and X category are independent. O D. Ho: HxEx and μy = Ey H₁: Hx #Ex or Hy # Ey Y₁ Y₂ X₁ X₂ X3 34 40 52 (36.20) (41.77) (48.03) 18 20 17 (15.80) (18.23) (20.97)

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What is the P-value?
P-value =
(Round to three decimal places as needed.)
Should the null hypothesis be rejected?
O A. Yes, reject Ho. There is not sufficient evidence at the α = 0.01 level of significance to conclude that X and Y are dependent because the P-value > α.
B. No, do not reject Ho. There is sufficient evidence at the x = 0.01 level of significance to conclude that X and Y are dependent because the P-value < x.
C. No, do not reject Ho. There is not sufficient evidence at the α = 0.01 level of significance to conclude that X and Y are dependent because the P-value > α.
D. Yes, reject Ho. There is not sufficient evidence at the α = 0.01 level of significance to conclude that X and Y are dependent because the P-value < α.
Transcribed Image Text:What is the P-value? P-value = (Round to three decimal places as needed.) Should the null hypothesis be rejected? O A. Yes, reject Ho. There is not sufficient evidence at the α = 0.01 level of significance to conclude that X and Y are dependent because the P-value > α. B. No, do not reject Ho. There is sufficient evidence at the x = 0.01 level of significance to conclude that X and Y are dependent because the P-value < x. C. No, do not reject Ho. There is not sufficient evidence at the α = 0.01 level of significance to conclude that X and Y are dependent because the P-value > α. D. Yes, reject Ho. There is not sufficient evidence at the α = 0.01 level of significance to conclude that X and Y are dependent because the P-value < α.
The table to the right contains observed values and expected values in parentheses for two categorical variables, X and Y, where variable X has three categories
and variable Y has two categories. Use the table to complete parts (a) and (b) below.
(a) Compute the value of the chi-square test statistic.
x² =
=
(Round to three decimal places as needed.)
(b) Test the hypothesis that X and Y are independent at the x = 0.01 level of significance.
O A. Ho: The Y category and X category have equal proportions.
H₁: The proportions are not equal.
B. Ho: The Y category and X category are independent.
H₁: The Y category and X category are dependent.
O C. Ho: The Y category and X category are dependent.
H₁: The
category and X category are independent.
D. Ho: x= Ex and μy = Ey
H₁: μx #Ex or μy # Ey
Y₁
Y₂
X₁
34
X2
40
|(36.20)|(41.77)|(48.03)
20
|(15.80)|(18.23)|(20.97)
X3
52
18
17
Transcribed Image Text:The table to the right contains observed values and expected values in parentheses for two categorical variables, X and Y, where variable X has three categories and variable Y has two categories. Use the table to complete parts (a) and (b) below. (a) Compute the value of the chi-square test statistic. x² = = (Round to three decimal places as needed.) (b) Test the hypothesis that X and Y are independent at the x = 0.01 level of significance. O A. Ho: The Y category and X category have equal proportions. H₁: The proportions are not equal. B. Ho: The Y category and X category are independent. H₁: The Y category and X category are dependent. O C. Ho: The Y category and X category are dependent. H₁: The category and X category are independent. D. Ho: x= Ex and μy = Ey H₁: μx #Ex or μy # Ey Y₁ Y₂ X₁ 34 X2 40 |(36.20)|(41.77)|(48.03) 20 |(15.80)|(18.23)|(20.97) X3 52 18 17
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