[Solved] MATH399N Week 7 Assignment: Conduct a Hypothesis Test for Mean – Population Standard Deviation Unknown – Critical Value/Rejection Region Appr

Question

Using the information above, choose the correct conclusion that interprets the results within the context of the hypothesis test.

Question

Olivia gathered data on the average percentage of tips received by waitstaff in 31 restaurants in Chicago. She works through the testing procedure:

  • H0:μ=15; Ha:μ<15
  • α=0.10 (significance level)
  • The test statistic is t0=x¯−μ0sn√=−1.16.
  • The critical value is −t0.10=−1.310.
    Conclude whether to reject or not reject H0. Select two responses below.

Question

A linguistics expert is interested in learning about the amount of time people in his industry spend studying a new language.  A random sample of 15 people in his industry were surveyed for a hypothesis test about the mean time people studied a new language last year. He conducts a one-mean hypothesis test, at the 10% significance level, to test the recent publication that the amount of time people in his industry are studying a new language was 30 minutes per week.

dfdf t0.10t0.10 t0.05t0.05 t0.025t0.025 t0.01t0.01 t0.005t0.005
……
1313 1.350 1.771 2.160 2.650 3.012
1414 1.345 1.761 2.145 2.624 2.997
1515 1.341 1.753 2.131 2.602 2.947
1616 1.337 1.746 2.120 2.583 2.921

Determine the critical value(s) using the partial t−table above. If entering two critical values, use ±.

Question

LaNai is a sergeant in the Marines who developed a new training program geared to reduce the time it takes to complete a particular obstacle course.  After evaluating 14 random participants of the program, she conducted a hypothesis test about the mean time using a significance level of 1%.  Preprogram evaluation revealed a mean of 20 minutes to complete the obstacle course.

dfdf t0.10t0.10 t0.05t0.05 t0.025t0.025 t0.01t0.01 t0.005t0.005
……
1313 1.350 1.771 2.160 2.650 3.012
1414 1.345 1.761 2.145 2.624 2.997
1515 1.341 1.753 2.131 2.602 2.947
1616 1.337 1.746 2.120 2.583 2.921

Determine the critical value(s) using the partial t−table above. If entering two critical values, use ±.

Question

Bruce, a store owner, would like to determine if a new advertising initiative has increased his sales per day compared to last year. He gathers information on 14 random sales days and conducts a hypothesis test about the sales revenue during a day using a significance level of 0.5 %. The mean revenue per day prior to the initiative was 650 dollars.

dfdf t0.10t0.10 t0.05t0.05 t0.025t0.025 t0.01t0.01 t0.005t0.005
……
1313 1.350 1.771 2.160 2.650 3.012
1414 1.345 1.761 2.145 2.624 2.997
1515 1.341 1.753 2.131 2.602 2.947
1616 1.337 1.746 2.120 2.583 2.921

Determine the critical value(s) using the partial t−table above. If entering two critical values, use ±.

Question

A new city Mayor would like to determine if community members are paying less for gas prices in his city this year compared to last year. He surveys 16 random community members and conducts hypothesis test about the mean cost of gas prices, which was 2.45 dollars last year, using a 5% significance level.

dfdf t0.10t0.10 t0.05t0.05 t0.025t0.025 t0.01t0.01 t0.005t0.005
……
1313 1.350 1.771 2.160 2.650 3.012
1414 1.345 1.761 2.145 2.624 2.997
1515 1.341 1.753 2.131 2.602 2.947
1616 1.337 1.746 2.120 2.583 2.921

Determine the critical value(s) using the partial t−table above. If entering two critical values, use ±.

Question

Dr. da Vinci would like to determine if a new drug to treat high blood pressure has had an effect on clients that he diagnosed with high blood pressure.  He gathers the appropriate data on 16 random clients, and conducts a hypothesis test about the mean blood pressure after taking the medication using a significance level of 1 %. The mean blood pressure of these clients was 165/96 before taking the medication.

dfdf t0.10t0.10 t0.05t0.05 t0.025t0.025 t0.01t0.01 t0.005t0.005
……
1313 1.350 1.771 2.160 2.650 3.012
1414 1.345 1.761 2.145 2.624 2.997
1515 1.341 1.753 2.131 2.602 2.947
1616 1.337 1.746 2.120 2.583 2.921

Determine the critical value(s) using the partial t−table above. If entering two critical values, use ±.

Question

Vae, a nurse practioner, is interested in determining if her clients with type II diabetes have lower fasting glucose after they started a new nutritional plan. She measures the fasting glucose of 14 random clients, and conducts a hypothesis test about mean of fasting glucose using a significance level of 2.5 %. The mean fasting glucose in these clients was 165 before the nutritional plan.

dfdf t0.10t0.10 t0.05t0.05 t0.025t0.025 t0.01t0.01 t0.005t0.005
……
1313 1.350 1.771 2.160 2.650 3.012
1414 1.345 1.761 2.145 2.624 2.997
1515 1.341 1.753 2.131 2.602 2.947
1616 1.337 1.746 2.120 2.583 2.921

Determine the critical value(s) using the partial t−table above. If entering two critical values, use ±.

Question

Using the information above, choose the correct conclusion that interprets the results within the context of the hypothesis test.

Question

As a part of her studies, Terra gathered data on the amount spent weekly on groceries for a sample of 27 households. She works through the testing procedure:

  • H0:μ=$191; Ha:μ>$191
  • α=0.01 (significance level)
  • The test statistic is t0=x¯−μ0sn√=3.321.
  • The critical value is t0.01=2.479.

Conclude whether to reject or not reject H0. Select two responses below.

The test statistic falls within the rejection region.

Question

As a part of her studies, Lexie gathered data on the speeds of 19 vehicles traveling on a highway. She works through the testing procedure:

  • H0:μ=58; Ha:μ<58
  • α=0.05
  • The test statistic is t0=x¯−μ0sn√=−0.943.
  • The critical value is −t0.05=−1.734.

At the 5% significance level, does the data provide sufficient evidence to conclude that the mean speed of vehicles traveling on the highway is less than 58 miles per hour?

 

 

 

Solution

Question

Using the information above, choose the correct conclusion that interprets the results within the context of the hypothesis test.

Ans: Ans: We should not reject the null hypothesis because t0>. So, at the 10% significance level, the data do not provide sufficient evidence to conclude that the average percentage of tips received by wait staff in Chicago restaurants is less than 15%.

Question

Olivia gathered data on the average percentage of tips received by waitstaff in 31 restaurants in Chicago. She works through the testing procedure:

  • H0:μ=15; Ha:μ<15
  • α=0.10 (significance level)
  • The test statistic is t0=x¯−μ0sn√=−1.16.
  • The critical value is −t0.10=−1.310.

Conclude whether to reject or not reject H0. Select two responses below.

Ans: Fail to reject H0.……………..please follow the link below to purchase the solution at $5