A scientist created a new drug in hopes to relive headaches faster. The old drug relived headaches at an average of 27.3 minutes. The scientist sampled 15 people that took the new drug and got an average relief time of 26.4 minutes with a sample standard deviation of 2.3 minutes. Test the hypothesis at the 2.5% level of significance. 2. The average number of skittles in a bag are 30.7. A person thinks that number is different. The person samples 10 bags of skittles and got an average of 31.8 with a sample standard deviation of 1.6. Test the hypothesis at the 5% level of significance. 3. Two years ago, 78% of people that owned a cell phone used the texting feature. A cell phone company want to know if that number has grown. The company samples 100 people with a cell phone and found that 85% of people text. Test the hypothesis at the 10% level of significance. The percent of free throws made by an NBA team last year was 68%. The coach wants to know if tha number has changed. The coach randomly selects 200 free throw attempts and found that the percent of free throws made is 68.8%. Test the hypothesis at the 5% level of significance,

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 25SGR
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Can you solve the first three questions and explain how you got your answers?
1. A scientist created a new drug in hopes to relive headaches faster. The old drug relived headaches at
an average of 27.3 minutes. The scientist sampled 15 people that took the new drug and got an
average relief time of 26.4 minutes with a sample standard deviation of 2.3 minutes. Test the
hypothesis at the 2.5% level of significance.
2. The average number of skittles in a bag are 30.7. A person thinks that number is different. The
person samples 10 bags of skittles and gọt an average of 31.8 with a sample standard deviation of
1.6. Test the hypothesis at the 5% level of significance.
3. Two years ago, 78% of people that owned a cell phone used the texting feature. A cell phone
company want to know if that number has grown. The company samples 100 people with a cell
phone and found that 85% of people text. Test the hypothesis at the 10% level of significance.
The percent of free throws made by an NBA team last year was 68%. The coach wants to know if tha
number has changed. The coach randomly selects 200 free throw attempts and found that the
percent of free throws made is 68.8%. Test the hypothesis at the 5% level of significance.
A company that produces computers know that 4% of the computers made are defective. The
ompany upgraded their software in hopes that the defective rate would decrease. The company
ampled 300 computers and found that 2.2% are defective. Test the hypothesis at the 5% level of
gnificance.
Transcribed Image Text:1. A scientist created a new drug in hopes to relive headaches faster. The old drug relived headaches at an average of 27.3 minutes. The scientist sampled 15 people that took the new drug and got an average relief time of 26.4 minutes with a sample standard deviation of 2.3 minutes. Test the hypothesis at the 2.5% level of significance. 2. The average number of skittles in a bag are 30.7. A person thinks that number is different. The person samples 10 bags of skittles and gọt an average of 31.8 with a sample standard deviation of 1.6. Test the hypothesis at the 5% level of significance. 3. Two years ago, 78% of people that owned a cell phone used the texting feature. A cell phone company want to know if that number has grown. The company samples 100 people with a cell phone and found that 85% of people text. Test the hypothesis at the 10% level of significance. The percent of free throws made by an NBA team last year was 68%. The coach wants to know if tha number has changed. The coach randomly selects 200 free throw attempts and found that the percent of free throws made is 68.8%. Test the hypothesis at the 5% level of significance. A company that produces computers know that 4% of the computers made are defective. The ompany upgraded their software in hopes that the defective rate would decrease. The company ampled 300 computers and found that 2.2% are defective. Test the hypothesis at the 5% level of gnificance.
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