A laundry detergent company wants to determine if a new formula of detergent, A, cleans better than the original formula, B. Researchers randomly assign 500 pieces of similarly soiled clothes to the two detergents, putting 250 pieces in each group. After washing the clothes, independent reviewers determine the cleanliness of the clothes on a scale of 1–10, with 10 being the cleanest. The researchers calculate the proportion of clothes in each group that receive a rating of 7 or higher. For detergent A, 228 pieces of clothing received a 7 or higher. For detergent B, 210 pieces of clothing received a rating of 7 or higher. Assuming the conditions for inference are met, what is the 90% confidence interval for the difference in proportions of clothes that receive a rating of 7 or higher for the two detergents?

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A laundry detergent company wants to determine if a new formula of detergent, A, cleans better than the original formula, B. Researchers randomly assign 500 pieces of similarly soiled clothes to the two detergents, putting 250 pieces in each group. After washing the clothes, independent reviewers determine the cleanliness of the clothes on a scale of 1–10, with 10 being the cleanest. The researchers calculate the proportion of clothes in each group that receive a rating of 7 or higher. For detergent A, 228 pieces of clothing received a 7 or higher. For detergent B, 210 pieces of clothing received a rating of 7 or higher. Assuming the conditions for inference are met, what is the 90% confidence interval for the difference in proportions of clothes that receive a rating of 7 or higher for the two detergents?

 

Find the z-table here.
O (0.91-0.84) ±1.96,
0.91(1-0.91) 0.84(1-0.84)
250
+
250
0.91(1-0.91) 0.84(1– 0.84)
O (0.91-0.84) ±1.65
+
250
250
O (0.09 - 0.16) ±1.96
0.09(1-0.09) 0.16(1-0.16)
250
+
250
0.09(1-0.09), 0.16(1-0.16)
+
(0.09 - 0.16) ±1.65,
500
500
Transcribed Image Text:Find the z-table here. O (0.91-0.84) ±1.96, 0.91(1-0.91) 0.84(1-0.84) 250 + 250 0.91(1-0.91) 0.84(1– 0.84) O (0.91-0.84) ±1.65 + 250 250 O (0.09 - 0.16) ±1.96 0.09(1-0.09) 0.16(1-0.16) 250 + 250 0.09(1-0.09), 0.16(1-0.16) + (0.09 - 0.16) ±1.65, 500 500
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