Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Finding P-values. In Exercises 5–8, either use technology to find the P-value or use Table A-3 to find a range of values for the P-value Body Temperatures The claim is that for 12 am body temperatures, the mean is μ<98.6°F.The sample size is n = 4 and the test statistic is t = -2.503.

Short Answer

Expert verified

The range for the P-value for the sample size 4 and test statistic is stated as .

Step by step solution

01

Given information

The claim states that the mean body temperature is less than . The sample size is n=4, and the test statistic is t=-2.503.

02

State the hypotheses

The claim does not have any equality statement. So, it will be stated as the alternate hypothesis, and the null hypothesis will be that the mean body temperature is equal to 98.6°F.

H0:μ=98.6°FH1:μ<98.6°F

Here, μ is the population mean body temperature at 12 am.

The test is one-tailed.

03

State the test statistic

The formula for the t-statistic is given below.

t=x¯-μsn

Here,

x¯:samplemeans:samplestadarddeviationμ:populationmeann:samplesize

The test statistic is -2.503.

04

State the decision rule

The decision rule is stated as follows for αlevel of significance.

IfP - value<α, reject the null hypothesis.

IfP - value>α, fail to reject the null hypothesis.

05

Find the P-value range

In the given problem, the test-statistic is -2.503. The sample size is n=4, and the degree of freedom of t distribution is

df=n-1=4-1=3

In the t-distribution table, look for the range where the absolute value of t-statistic lies.

In the row with the degree of freedom 3, the values closest to 2.503 are 2.353 and 3.182, corresponding to 0.025 and 0.05 levels, respectively, for a one-tailed test.

Thus, the range for the P-value for t-statistic t=-2.503 is 0.025<P - value<0.05

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

In Exercises 9–12, refer to the exercise identified. Make subjective estimates to decide whether results are significantly low or significantly high, then state a conclusion about the original claim. For example, if the claim is that a coin favours heads and sample results consist of 11 heads in 20 flips, conclude that there is not sufficient evidence to support the claim that the coin favours heads (because it is easy to get 11 heads in 20 flips by chance with a fair coin).

Exercise 5 “Online Data”

t Test Exercise 2 refers to a t test. What is the t test? Why is the letter t used? What is unrealistic about the z test methods in Part 2 of this section?

Finding P-values. In Exercises 5–8, either use technology to find the P-value or use Table A-3 to find a range of values for the P-value.

Airport Data Speeds: The claim that for Verizon data speeds at airports, the mean. The sample size is and the test statistic is

t =-1.625 .

Identifying H0and H1. In Exercises 5–8, do the following:

a. Express the original claim in symbolic form.

b. Identify the null and alternative hypotheses.

Cell Phone Claim: Fewer than 95% of adults have a cell phone. In a Marist poll of 1128 adults, 87% said that they have a cell phone.

Testing Claims About Proportions. In Exercises 9–32, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. Use the P-value method unless your instructor specifies otherwise. Use the normal distribution as an approximation to the binomial distribution, as described in Part 1 of this section.

Store Checkout-Scanner Accuracy In a study of store checkout-scanners, 1234 items were checked for pricing accuracy; 20 checked items were found to be overcharges, and 1214 checked items were not overcharges (based on data from “UPC Scanner Pricing Systems: Are They Accurate?” by Goodstein, Journal of Marketing, Vol. 58). Use a 0.05 significance level to test the claim that with scanners, 1% of sales are overcharges. (Before scanners were used, the overcharge rate was estimated to be about 1%.) Based on these results, do scanners appear to help consumers avoid overcharges?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free