4. Fill in the following contingency table with the number of observations that fall into each com- bination of categories. For example, if there are 100 overall pieces of orange colored Skittles, you...

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4. Fill in the following contingency table with the number of observations that fall into each com-<br>bination of categories. For example, if there are 100 overall pieces of orange colored Skittles, you<br>would enter 100 into the first cell.<br>Outcome<br>Not Orange (x)<br>49<br>83<br>I l62<br>Orange<br>Row Totals<br>Skittles (S)<br>M&M's (M)<br>150<br>100<br>250<br>Candy<br>17<br>88<br>Column Totals<br>5. Compute the point estimate for the difference in the proportion of orange colored pieces between<br>the two brands.<br>

Extracted text: 4. Fill in the following contingency table with the number of observations that fall into each com- bination of categories. For example, if there are 100 overall pieces of orange colored Skittles, you would enter 100 into the first cell. Outcome Not Orange (x) 49 83 I l62 Orange Row Totals Skittles (S) M&M's (M) 150 100 250 Candy 17 88 Column Totals 5. Compute the point estimate for the difference in the proportion of orange colored pieces between the two brands.

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Jun 02, 2022

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4. Fill in the following contingency table with the number of observations that fall into each com- bination of categories. For example, if there are 100 overall pieces of orange colored Skittles, you...

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