X2 X3 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...


X2<br>X3<br>The table to the right contains observed values and expected values in parentheses<br>for two categorical variables, X and Y, where variable X has three categories and<br>variable Y has two categories. Use the table to complete parts (a) and (b) below.<br>30<br>41<br>45<br>(30.89) (41.87)(43.24)<br>15<br>20<br>18<br>Y2<br>(14.11)(19.13)(19.76)<br>Click the icon to view the Chi-Square table of critical values.<br>(a) Compute the value of the chi-square test statistic.<br>X6 =| (Round to three decimal places as needed.)<br>%D<br>(b) Test the hypothesis that X and Y are independent at the a = 0.05 level of significance.<br>O A. Ho: The Y category and X category are dependent.<br>H,: The Y category and X category are independent.<br>O B. Ho: The Y category and X category are independent.<br>H,: The Y category and X category are dependent.<br>C. Ho: Hx = Ex and Hy = Ey<br>H4: Hy #Ex or Hy # Ey<br>D. Ho: The Y category and X category have equal proportions.<br>H,: The proportions are not equal.<br>What range of P-values does the test statistic correspond to?<br>The P-value is<br>Should the null hypothesis be rejected?<br>O A. Yes, reject Ho. There is not sufficient evidence at the a = 0.05 level of significance to conclude that X and Y are<br>dependent because the P-value < a.<br>O B. No, do not reject Ho. There is sufficient evidence at the a = 0.05 level of significance to conclude that X and Y are<br>dependent because the P-value < a.<br>O C. No, do not reject Ho. There is not sufficient evidence at the a =0.05 level of significance to conclude that X and Y<br>are dependent because the P-value > a.<br>

Extracted text: X2 X3 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. 30 41 45 (30.89) (41.87)(43.24) 15 20 18 Y2 (14.11)(19.13)(19.76) Click the icon to view the Chi-Square table of critical values. (a) Compute the value of the chi-square test statistic. X6 =| (Round to three decimal places as needed.) %D (b) Test the hypothesis that X and Y are independent at the a = 0.05 level of significance. O A. Ho: The Y category and X category are dependent. H,: The Y category and X category are independent. O B. Ho: The Y category and X category are independent. H,: The Y category and X category are dependent. C. Ho: Hx = Ex and Hy = Ey H4: Hy #Ex or Hy # Ey D. Ho: The Y category and X category have equal proportions. H,: The proportions are not equal. What range of P-values does the test statistic correspond to? The P-value is Should the null hypothesis be rejected? O A. Yes, reject Ho. There is not sufficient evidence at the a = 0.05 level of significance to conclude that X and Y are dependent because the P-value < a.="" o="" b.="" no,="" do="" not="" reject="" ho.="" there="" is="" sufficient="" evidence="" at="" the="" a="0.05" level="" of="" significance="" to="" conclude="" that="" x="" and="" y="" are="" dependent="" because="" the="" p-value="">< a.="" o="" c.="" no,="" do="" not="" reject="" ho.="" there="" is="" not="" sufficient="" evidence="" at="" the="" a="0.05" level="" of="" significance="" to="" conclude="" that="" x="" and="" y="" are="" dependent="" because="" the="" p-value=""> a.

Jun 10, 2022
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