/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q8E For each of the following reject... [FREE SOLUTION] | 91影视

91影视

For each of the following rejection regions, sketch the sampling distribution for z and indicate the location of the rejection region.

a. \({H_0}:\mu \le {\mu _0}\) and \({H_a}:\mu > {\mu _0};\alpha = 0.1\)

b. \({H_0}:\mu \le {\mu _0}\) and \({H_a}:\mu > {\mu _0};\alpha = 0.05\)

c. \({H_0}:\mu \ge {\mu _0}\) and \({H_a}:\mu < {\mu _0};\alpha = 0.01\)

d. \({H_0}:\mu = {\mu _0}\) and \({H_a}:\mu \ne {\mu _0};\alpha = 0.05\)

e. \({H_0}:\mu = {\mu _0}\) and \({H_a}:\mu \ne {\mu _0};\alpha = 0.1\)

f. \({H_0}:\mu = {\mu _0}\) and \({H_a}:\mu \ne {\mu _0};\alpha = 0.01\)

g. For each rejection region specified in parts a鈥揻, state the probability notation in z and its respective Type I error value.

Short Answer

Expert verified

a)

b)

c)

d)

e)

f)

g)

Step by step solution

01

Given information

For each part, the null and the alternative hypotheses are given with a specific significance level

02

(a) Sketching the sampling distribution of z for H0:μ⩽μ0 and Ha:μ>μ0;α=0.1 

Consider,

\({H_0}:\mu \le {\mu _0}\)

\({H_a}:\mu > {\mu _0}\)

The given alternative hypothesis is right-tailed.

Also,

\(\alpha = 0.1\)

Therefore, from the table of Standard Normal Distribution z score valueis 1.282.

The sampling distribution of Z and the rejection region's location is shown in the following diagram.

03

(b) Sketching the sampling distribution of z for H0:μ⩽μ0and Ha:μ>μ0;α=0.05 

Consider,

\({H_0}:\mu \le {\mu _0}\)

\({H_a}:\mu > {\mu _0}\)

The given alternative hypothesis is right-tailed.

Also,

\(\alpha = 0.05\)

Therefore, from the table of Standard Normal Distribution z score value is 1.96.

The sampling distribution of Z and the rejection region's location is shown in the following diagram.

04

(c) Sketching the sampling distribution of z for H0:μ⩾μ0 and Ha:μ<μ0;α=0.01 

Consider,

\({H_0}:\mu \ge {\mu _0}\)

\({H_a}:\mu < {\mu _0}\)

Given alternative hypothesis is left-tailed.

Also,

\(\alpha = 0.01\)

Therefore, from the table of Standard Normal Distribution z score value is -2.326.

The sampling distribution of Z and the location of the rejection region at \(Z < - 2.326\) is shown in the following diagram.

05

(d) Sketching the sampling distribution of z for H0:μ=μ0 and Ha:μ≠μ0;α=0.05    

Consider,

\({H_0}:\mu = {\mu _0}\)

\({H_a}:\mu \ne {\mu _0}\)

The given alternative hypothesis is two-tailed.

Also,

\(\alpha = 0.05\)

Therefore, from the table of Standard Normal Distribution z score value is 1.96.

The sampling distribution of Z and the rejection region's location is shown in the following diagram.

06

(e) Sketching the sampling distribution of z for H0:μ=μ0 and Ha:μ≠μ0;α=0.1

Consider,

\({H_0}:\mu = {\mu _0}\)

\({H_a}:\mu \ne {\mu _0}\)

The given alternative hypothesis is two-tailed.

Also,

\(\alpha = 0.1\)

Therefore, from the Standard Normal distribution table, z score values are -1.282 and 1.282.

The sampling distribution of Z and the rejection region's location is shown in the following diagram.

Consider,

\({H_0}:\mu = {\mu _0}\)

\({H_a}:\mu \ne {\mu _0}\)

The given alternative hypothesis is two-tailed.

Also,

\(\alpha = 0.1\)

Therefore, from the Standard Normal distribution table, z score values are -1.282 and 1.282.

07

(f) Sketching the sampling distribution of z for H0:μ=μ0 and Ha:μ≠μ0;α=0.01

Consider,

H0:=0Ha:0

The given alternative hypothesis is two-tailed.

Also,

=0.01

Therefore, from the Standard Normal distribution table, z score values are -2.326 and 2.326.

The sampling distribution of Z and the rejection region's location is shown in the following diagram.

08

(g) Stating the probabilities of Type I errors.

Since Type I error is the probability of rejecting the null hypothesis when it is true.

Now, the required table is as follows:

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 91影视!

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

Question:Paying for music downloads. If you use the Internet, have you ever paid to access or download music? This was one of the questions of interest in a Pew Internet & American Life Project Survey (October 2010). In a representative sample of 755 adults who use the Internet, 506 admitted

that they have paid to download music. Let p represent the true proportion of all Internet-using adults who have paid to download music.

a. Compute a point estimate of p.

b. Set up the null and alternative hypotheses for testing whether the true proportion of all Internet-using adults who have paid to download music exceeds.7.

c. Compute the test statistic for part b.

d. Find the rejection region for the test if = 0.01.

e. Find the p-value for the test.

f. Make the appropriate conclusion using the rejection region.

g. Make the appropriate conclusion using the p-value.

Arresting shoplifters. Shoplifting in the United States costs retailers about $35 million a day. Despite the seriousness of the problem, the National Association of shoplifting Prevention (NASP) claims that only 50% of all shoplifters are turned over to police (www.shopliftingprevention.org). A random sample of 40 U.S. retailers were questioned concerning the disposition of the most recent shoplifter they apprehended. A total of 24 were turned over to police. Do these data provide sufficient evidence to contradict the NASP?

a. Conduct a hypothesis test to answer the question of interest. Use\(\alpha = 0.05\).

b. Is the sample size large enough to use the inferential procedure of part a?

c. Find the observed significance level of the hypothesis test in part a. Interpret the value.

d. For what values \(\alpha \) would the observed significance level be sufficient to reject the null hypothesis of the test you conducted in part b?

A random sample of 64 observations produced the following summary statistics: \(\bar x = 0.323\) and \({s^2} = 0.034\).

a. Test the null hypothesis that\(\mu = 0.36\)against the alternative hypothesis that\(\mu < 0.36\)using\(\alpha = 0.10\).

b. Test the null hypothesis that \(\mu = 0.36\) against the alternative hypothesis that \(\mu \ne 0.36\) using \(\alpha = 0.10\). Interpret the result.

Jury trial outcomes. Sometimes, the outcome of a jury trial defies the 鈥渃ommon sense鈥 expectations of the general public (e.g., the 1995 O. J. Simpson verdict and the 2011 Casey Anthony verdict). Such a verdict is more acceptable if we understand that the jury trial of an accused murderer is analogous to the statistical hypothesis-testing process. The null hypothesis in a jury trial is that the accused is innocent. (The status-quo hypothesis in the U.S. system of justice is innocence, which is assumed to be true until proven beyond a reasonable doubt.) The alternative hypothesis is guilt, which is accepted only when sufficient evidence exists to establish its truth. If the vote of the jury is unanimous in favor of guilt, the null hypothesis of innocence is rejected, and the court concludes that the accused murderer is guilty. Any vote other than a unanimous one for guilt results in a 鈥渘ot guilty鈥 verdict. The court never accepts the null hypothesis; that is, the court never declares the accused 鈥渋nnocent.鈥 A 鈥渘ot guilty鈥 verdict (as in the Casey Anthony case) implies that the court could not find the defendant guilty beyond a reasonable doubt

a. Define Type I and Type II errors in a murder trial.

b. Which of the two errors is the more serious? Explain.

c. The court does not, in general, know the values of and ; but ideally, both should be small. One of these probabilities is assumed to be smaller than the other in a jury trial. Which one, and why?

d. The court system relies on the belief that the value of is made very small by requiring a unanimous vote before guilt is concluded. Explain why this is so.

e. For a jury prejudiced against a guilty verdict as the trial begins, will the value of increase or decrease? Explain.

f. For a jury prejudiced against a guilty verdict as the trial begins, will the value of increase or decrease? Explain

Packaging of a children鈥檚 health food. Can packaging of a healthy food product influence children鈥檚 desire to consume the product? This was the question of interest in an article published in the Journal of Consumer Behaviour (Vol. 10, 2011). A fictitious brand of a healthy food product鈥攕liced apples鈥攚as packaged to appeal to children (a smiling cartoon apple was on the front of the package). The researchers showed the packaging to a sample of 408 school children and asked each whether he or she was willing to eat the product. Willingness to eat was measured on a 5-point scale, with 1 = 鈥渘ot willing at all鈥 and 5 = 鈥渧ery willing.鈥 The data are summarized as follows: \(\bar x = 3.69\) , s = 2.44. Suppose the researchers knew that the mean willingness to eat an actual brand of sliced apples (which is not packaged for children) is \(\mu = 3\).

a. Conduct a test to determine whether the true mean willingness to eat the brand of sliced apples packaged for children exceeded 3. Use\(\alpha = 0.05\)

to make your conclusion.

b. The data (willingness to eat values) are not normally distributed. How does this impact (if at all) the validity of your conclusion in part a? Explain.

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.