A claim is made that 85% of college students own a smartphone. Natalie believes that a larger percentage of college students own smartphones. She surveys a random sample of 150 college students, and she finds that 135 of these students own a smartphone. The calculations Natalie engaged in to determine the test statistic are shown below. What is wrong with these calculations? The sample proportion was computed incorrectly. The numerator should be “0.85 – 0.90” instead of “0.90 – 0.85.” The value of n used in the denominator should be 135 instead of 150. Instead of using the value of 0.85 in the denominator, the value of 0.90 should have been used. Nothing is wrong.Extracted text: 0.90 – 0.85 z = A 1.7 (0.85)(1 – 0.85) 150 -

A claim is made that 85% of college students own a smartphone. Natalie believes that a larger percentage of college students own smartphones. She surveys a random sample of 150 college students, and...

A claim is made that 85% of college students own a smartphone. Natalie believes that a larger percentage of college students own smartphones. She surveys a random sample of 150 college students, and she finds that 135 of these students own a smartphone. The calculations Natalie engaged in to determine the test statistic are shown below. What is wrong with these calculations?

Instead of using the value of 0.85 in the denominator, the value of 0.90 should have been used.

Extracted text: 0.90 – 0.85 z = A 1.7 (0.85)(1 – 0.85) 150 -

Jun 01, 2022