Question

1 of 40

A consumer advocacy group claims that the

mean amount of juice in a 16

ounce bottled drink is not 16 ounces, as

stated by the bottler.

Determine the null and alternative hypotheses

for the test described.

A.

H0: Âµ = 16 ounces Ha: Âµ < 16=”” ounces=”” b.=”” h0:=”” âµ=”” â¹=”” 16=”” ounces=”” ha:=”” âµ=”16″ ounces=”” c.=”” h0:=”” âµ=”16″ ounces=”” ha:=”” âµ=””> 16 ounces

D.

H0: Âµ = 16 ounces Ha: Âµ Â¹ 16 ounces

Question

2 of 40

A manufacturer claims that the mean amount of

juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy group wants

to perform a hypothesis test to determine whether the mean amount is actually

less than this. The mean volume of juice for a random sample of 70 bottles was

15.94 ounces. Do the data provide sufficient evidence to conclude that the mean

amount of juice for all 16-ounce bottles, Âµ, is less than 16.1 ounces? Perform

the appropriate hypothesis test using a significance level of 0.10. Assume that

s = 0.9 ounces. ?

A. The

z of – 1.49 provides sufficient evidence to conclude that the mean amount of

juice is less than 16.1 oz.

B. The z of – 1.49 does not provide

sufficient evidence to conclude that the mean amount of juice is less than 16.1

oz.

C. The z of – 0.1778 does not provide

sufficient evidence to conclude that the mean amount of juice is less than 16.1

oz.

D. The z of – 0.1778 provides sufficient

evidence to conclude that the mean amount of juice is less than 16.1 oz.

Question

3 of 40

A consumer group claims that the mean running

time for a certain type of flashlight battery is not the same as the

manufacturerâs claims. Determine the null and alternative hypotheses for the

test described.

A.

H0: Âµ = Manufacturerâs claims Ha: Âµ < manufacturerâs=”” claims=”” b.=”” h0:=”” âµ=”Manufacturerâs” claims=”” ha:=”” âµ=”” â¹=”” manufacturerâs=”” claims=”” c.=”” h0:=”” âµ=”Manufacturerâs” claims=”” ha:=”” âµ=””> Manufacturerâs claims

D.

H0: Âµ Â¹ Manufacturerâs claims Ha: Âµ = Manufacturerâs claims

Question

4 of 40

A two-tailed test is conducted at the 5%

significance level. What is the left tail percentile required to reject the

null hypothesis?

A. 97.5%

B. 5%

C. 2.5%

D. 95%

Question

5 of 40

A nationwide study of American homeowners

revealed that 65% have one or more lawn mowers. A lawn equipment manufacturer,

located in Omaha, feels the estimate is too low for households in Omaha. Find

the P-value for a test of the claim that the proportion with lawn mowers in

Omaha is higher than 65%. Among 497 randomly selected homes in Omaha, 340 had

one or more lawn mowers. Use Table 5.1 to find the best answer.

A. 0.0559

B. 0.1118

C. 0.0252

D. 0.0505

Question

6 of 40

A supplier of DVDs claims that no more than

1% of the DVDs are defective. In a random sample of 600 DVDs, it is found that

3% are defective, but the supplier claims that this is only a sample fluctuation.

At the 0.01 level of significance, test the supplierâs claim that no more than

1% are defective.

A. Do not reject the null hypothesis and

conclude that there is evidence to support the claim that more than 1% of the

DVDs are defective.

B. Reject the null hypothesis and conclude

that there is insufficient evidence to support the claim that more than 1% of

the DVDs are defective.

C. Do not reject the null hypothesis and

conclude that there is insufficient evidence to support the claim that more

than 1% of the DVDs are defective.

D. Reject the null hypothesis and conclude

that there is sufficient evidence to support the claim that more than 1% of the

DVDs are defective.

Question

7 of 40

z = 1.8 for Ha: Âµ >

claimed value. What is the P-value for the test? ?

A. 0.9641

B. 3.59

C. 96.41

D. 0.0359

Question

8 of 40

A

researcher wants to check the claim that convicted burglars spend an average of

18.7 months in jail. She takes a random sample of 35 such cases from court

files and finds that months. Assume that

the population standard deviation is 7 months. Test the null hypothesis that Âµ

= 18.7 at the 0.05 significance level.

A. Do not reject the null hypothesis and

conclude that the claim that the mean is different from 18.7 months is

supported.

B. Do not reject the null hypothesis and

conclude that the claim that the mean is different from 18.7 months cannot be

supported.

C. Reject the null hypothesis and conclude

that the claim that the mean is different from 18.7 months is supported.

D. Reject the null hypothesis and conclude

that the claim that the mean is different from 18.7 months cannot be supported.

Question

9 of 40

In 1990, the average duration of

long-distance telephone calls originating in one town was 9.3 minutes. A

long-distance telephone company wants to perform a hypothesis test to determine

whether the average duration of long-distance phone calls has changed from the

1990 mean of 9.3 minutes. Formulate the null and alternative hypotheses for the

study described.

A.

Ho: Âµ = 9.3 minutes H a : Âµ < 9.3=”” minutes=”” b.=”” ho:=”” âµ=”9.3″ minutes=”” h=”” a=”” :=”” âµ=””> 9.3 minutes

C.

Ho: Âµ = 9.3 minutes H a : Âµ Â¹ 9.3 minutes

D.

Ho: Âµ Â¹ 9.3 minutes H a : Âµ = 9.3 minutes

Question

10 of 40

In the past, the mean running time for a certain

type of flashlight battery has been 8.0 hours. The manufacturer has introduced

a change in the production method and wants to perform a hypothesis test to

determine whether the mean running time has increased as a result. The

hypotheses are:

H0 : Âµ

= 8.0 hours

Ha : Âµ

> 8.0 hours

Explain the meaning of a Type II error.

A. Concluding that Âµ > 8.0 hours when in

fact Âµ > 8.0 hours

B. Failing to reject the hypothesis that Âµ =

8.0 hours when in fact Âµ >

8.0 hours

C. Concluding that Âµ > 8.0 hours

D. Failing to reject the hypothesis that Âµ =

8.0 hours when in fact Âµ = 8.0 hours

Question

11 of 40

In 1990, the average duration of

long-distance telephone calls originating in one town was 9.4 minutes. A

long-distance telephone company wants to perform a hypothesis test to determine

whether the average duration of long-distance phone calls has changed from the

1990 mean of 9.4 minutes. The mean duration for a random sample of 50 calls

originating in the town was 8.6 minutes. Does the data provide sufficient evidence

to conclude that the mean call duration, Âµ, is different from the 1990 mean of

9.4 minutes? Perform the appropriate hypothesis test using a significance level

of 0.01. Assume that s = 4.8 minutes.

A. With a z of -1.2 there is sufficient

evidence to conclude that the mean

value has changed from the 1990 mean of 9.4

minutes.

B. With a P-value of 0.2302 there is not

sufficient evidence to conclude

that the mean value is less than the 1990

mean of 9.4 minutes.

C. With a P-value of 0.2302 there is sufficient

evidence to conclude that

the mean value is less than the 1990 mean of

9.4 minutes.

D. With a z of â1.2 there is not sufficient

evidence to conclude that the

mean value has changed from the 1990 mean of

9.4 minutes.

Question

12 of 40

At one school, the mean amount of time that

tenth-graders spend watching television each week is 18.4 hours. The principal

introduces a campaign to encourage the students to watch less television. One

year later, the principal wants to perform a hypothesis test to determine

whether the average amount of time spent watching television per week has

decreased.

Formulate the null and alternative hypotheses

for the study described.

A. Ho:

Âµ = 18.4 hours H a : Âµ Â¹ 18.4 hours

B. Ho:

Âµ = 18.4 hours H a : Âµ < 18.4=”” hours=”” c.=”” ho:=”” âµ=”” â³=”” 18.4=”” hours=”” h=”” a=”” :=”” âµ=””>< 18.4=”” hours=”” d.=”” ho:=”” âµ=”18.4″ hours=”” h=”” a=”” :=”” âµ=””> 18.4

hours

Question

13 of 40

The principal of a middle school claims that

annual incomes of the families of the seventh-graders at his school vary more

than the annual incomes of the families of the seventh-graders at a neighboring

school, which have variation described by s = $13,700. Assume that a hypothesis

test of the claim has been conducted and that the conclusion of the test was to

reject the null hypothesis. Identify the population to which the results of the

test apply.

A. The current seventh graders at the

principalâs school

B. Seventh gradersâ families at the school

with a standard deviation of $13,700

C. All of the families of the class of seventh

graders at the principalâs school

D. All seventh gradersâ families

Question

14 of 40

A two-tailed test is conducted at the 5%

significance level. What is the P-value required to reject the null hypothesis?

A. Greater than or equal to 0.10

B. Less than or equal to 0.05

C. Less than or equal to 0.10

D. Greater than or equal to 0.05

Question

15 of 40

A psychologist claims that more than 29

percent of the professional population suffers from problems due to extreme

shyness. Assuming that a hypothesis test of the claim has been conducted and

that the conclusion is failure to reject the null hypothesis, state the

conclusion in non-technical terms.

A. There is sufficient evidence to support

the claim that the true proportion is less than 29 percent.

B. There is not sufficient evidence to

support the claim that the true proportion is greater than 29 percent.

C. There is sufficient evidence to support

the claim that the true proportion is equal to 29 percent.

D. There is sufficient evidence to support

the claim that the true proportion is greater than 29 percent.

Question

16 of 40

A long-distance telephone company claims that

the mean duration of long-distance telephone calls originating in one town was

greater than 9.4 minutes, which is the average for the state. Determine the

conclusion of the hypothesis test assuming that the results of the sampling do

not lead to rejection of the null hypothesis.

A. Conclusion: Support the claim that the

mean is less than 9.4 minutes.

B. Conclusion: Support the claim that the

mean is greater than 9.4 minutes.

C. Conclusion: Support the claim that the

mean is equal to 9.4 minutes.

D. Conclusion: Do not support the claim that

the mean is greater than 9.4 minutes.

Question

17 of 40

A skeptical paranormal researcher claims that

the proportion of Americans that have seen a UFO is less than 1 in every one

thousand. State the null hypothesis and the alternative hypothesis for a test

of significance.

A. H0:

p = 0.001 Ha: p > 0.001

B. H0:

p = 0.001 Ha: p < 0.001=”” c.=”” h0:=”” p=””> 0.001 Ha: p = 0.001

D. H0:

p < 0.001=”” ha:=”” p=”0.001″ question=”” 18=”” of=”” 40=”” the=”” owner=”” of=”” a=”” football=”” team=”” claims=”” that=”” the=”” average=”” attendance=”” at=”” home=”” games=”” is=”” over=”” 3000,=”” and=”” he=”” is=”” therefore=”” justified=”” in=”” moving=”” the=”” team=”” to=”” a=”” city=”” with=”” a=”” larger=”” stadium.=”” assuming=”” that=”” a=”” hypothesis=”” test=”” of=”” the=”” claim=”” has=”” been=”” conducted=”” and=”” that=”” the=”” conclusion=”” is=”” failure=”” to=”” reject=”” the=”” null=”” hypothesis,=”” state=”” the=”” conclusion=”” in=”” non-technical=”” terms.=”” a.=”” there=”” is=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” the=”” mean=”” attendance=”” is=”” greater=”” than=”” 3000.=”” b.=”” there=”” is=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” the=”” mean=”” attendance=”” is=”” equal=”” to=”” 3000.=”” c.=”” there=”” is=”” not=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” the=”” mean=”” attendance=”” is=”” greater=”” than=”” 3000.=”” d.=”” there=”” is=”” not=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” the=”” mean=”” attendance=”” is=”” less=”” than=”” 3000.=”” question=”” 19=”” of=”” 40=”” a=”” two-tailed=”” test=”” is=”” conducted=”” at=”” the=”” 0.10=”” significance=”” level.=”” what=”” is=”” the=”” p-value=”” required=”” to=”” reject=”” the=”” null=”” hypothesis?=”” a.=”” greater=”” than=”” or=”” equal=”” to=”” .010=”” b.=”” greater=”” than=”” or=”” equal=”” to=”” 0.05=”” c.=”” less=”” than=”” or=”” equal=”” to=”” 0.10=”” d.=”” less=”” than=”” or=”” equal=”” to=”” 0.05=”” question=”” 20=”” of=”” 40=”” if=”” a=”” fan=”” purchased=”” a=”” bag=”” with=”” 30=”” peanuts,=”” what=”” is=”” the=”” lowest=”” level=”” at=”” which=”” this=”” would=”” be=”” a=”” significant=”” event?=”” a.=”” 0.05=”” b.=”” 0.025=”” c.=”” 0.01=”” d.=”” it=”” is=”” not=”” significant=”” at=”” any=”” of=”” the=”” levels=”” given=”” question=”” 21=”” of=”” 40=”” one=”” hundred=”” people=”” are=”” selected=”” at=”” random=”” and=”” tested=”” for=”” colorblindness=”” to=”” determine=”” whether=”” gender=”” and=”” colorblindness=”” are=”” independent.=”” the=”” critical=”” value=”” of=”” x2=”” for=”” a=”” 2=”” x=”” 2=”” table=”” using=”” a=”” 0.05=”” significance=”” level=”” is=”” 3.841.=”” if=”” the=”” value=”” of=”” the=”” x2=”” statistic=”” is=”” 3.179,=”” state=”” your=”” conclusion=”” about=”” the=”” relationship=”” between=”” gender=”” and=”” colorblindness.=”” a.=”” do=”” not=”” reject=”” h0.=”” b.=”” reject=”” h0.=”” c.=”” there=”” is=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” gender=”” and=”” colorblindness=”” are=”” not=”” related.=”” d.=”” there=”” is=”” not=”” sufficient=”” evidence=”” to=”” accept=”” or=”” reject=”” h0.=”” question=”” 22=”” of=”” 40=”” which=”” of=”” the=”” following=”” statements=”” is=”” true?=”” a.=”” the=”” t=”” distribution=”” can=”” be=”” used=”” when=”” finding=”” a=”” confidence=”” interval=”” for=”” the=”” population=”” mean=”” whenever=”” the=”” sample=”” size=”” is=”” small.=”” b.=”” the=”” p=”” distribution=”” can=”” be=”” used=”” when=”” finding=”” a=”” confidence=”” interval=”” for=”” the=”” population=”” mean=”” whenever=”” the=”” sample=”” size=”” is=”” small.=”” c.=”” the=”” t=”” distribution=”” cannot=”” be=”” used=”” when=”” finding=”” a=”” confidence=”” interval=”” for=”” the=”” population=”” mean=”” whenever=”” the=”” sample=”” size=”” is=”” small.=”” d.=”” the=”” p=”” distribution=”” cannot=”” be=”” used=”” when=”” finding=”” a=”” confidence=”” interval=”” for=”” the=”” sample=”” mean=”” whenever=”” the=”” sample=”” size=”” is=”” small.=”” question=”” 23=”” of=”” 40=”” a=”” 95%=”” confidence=”” interval=”” for=”” the=”” mean=”” of=”” a=”” normal=”” population=”” is=”” found=”” to=”” be=”” 15.6=””>< âµ=””>< 25.2.=”” what=”” is=”” the=”” margin=”” of=”” error?=”” a.=”” 3.9=”” b.=”” 4.8=”” c.=”” 4.9=”” d.=”” 3.7=”” question=”” 24=”” of=”” 40=”” the=”” margin=”” of=”” error=”” in=”” estimating=”” the=”” population=”” mean=”” of=”” a=”” normal=”” population=”” is=”” e=”9.3″ when=”” the=”” sample=”” size=”” is=”” 15.=”” if=”” the=”” sample=”” size=”” had=”” been=”” 18=”” and=”” the=”” sample=”” standard=”” deviation=”” did=”” not=”” change,=”” would=”” the=”” margin=”” of=”” error=”” be=”” larger=”” or=”” smaller=”” than=”” 9.3?=”” explain=”” your=”” answer.=”” a.=”” smaller.=”” e=”” decreases=”” as=”” the=”” square=”” root=”” of=”” the=”” sample=”” size=”” gets=”” larger.=”” b.=”” smaller.=”” e=”” increases=”” as=”” the=”” square=”” root=”” of=”” the=”” sample=”” size=”” gets=”” larger.=”” c.=”” larger.=”” e=”” decreases=”” as=”” the=”” square=”” root=”” of=”” the=”” sample=”” size=”” gets=”” larger.=”” d.=”” larger.=”” e=”” increases=”” as=”” the=”” square=”” root=”” of=”” the=”” sample=”” size=”” gets=”” larger.=”” question=”” 25=”” of=”” 40=”” a=”” simple=”” random=”” sample=”” from=”” a=”” normal=”” distribution=”” is=”” taken=”” in=”” order=”” to=”” obtain=”” a=”” 95%=”” confidence=”” interval=”” for=”” the=”” population=”” mean.=”” if=”” the=”” sample=”” size=”” is=”” 8,=”” the=”” sample=”” mean=”” x?=”” is=”” 22,=”” and=”” the=”” sample=”” standard=”” deviation=”” s=”” is=”” 6.3,=”” what=”” is=”” the=”” margin=”” of=”” error?=”” show=”” your=”” answer=”” to=”” 2=”” decimal=”” places.=”” a.=”” df=”7;” e=”3.3445.38″ ==”” 5.6566=”” b.=”” df=”8;” e=”3.3445.38″ ==”” 5.6566=”” c.=”” df=”6;” e=”2.3656.38″ ==”” 5.769=”” d.=”” df=”7;” e=”2.3656.38″ ==”” 5.869=”” question=”” 26=”” of=”” 40=”” one=”” hundred=”” people=”” are=”” selected=”” at=”” random=”” and=”” tested=”” for=”” colorblindness=”” to=”” determine=”” whether=”” gender=”” and=”” colorblindness=”” are=”” independent.=”” the=”” following=”” counts=”” were=”” observed.=”” colorblind=”” not=”” colorblind=”” total=”” male=”” 7=”” 53=”” 60=”” female=”” 1=”” 39=”” 40=”” total=”” 8=”” 92=”” 100=”” if=”” gender=”” and=”” colorblindness=”” are=”” independent,=”” find=”” the=”” expected=”” values=”” corresponding=”” to=”” the=”” female=”” combinations=”” of=”” gender=”” and=”” colorblindness.=”” a.=”” colorblind=”” female=”” 4.8;=”” not=”” colorblind=”” female=”” 55.2=”” b.=”” colorblind=”” female=”” 3.2;=”” not=”” colorblind=”” female=”” 36.8=”” c.=”” colorblind=”” female=”” 4.8;=”” not=”” colorblind=”” female=”” 35.2=”” d.=”” colorblind=”” female=”” 3.8;=”” not=”” colorblind=”” female=”” 36.2=”” question=”” 27=”” of=”” 40=”” one=”” hundred=”” people=”” are=”” selected=”” at=”” random=”” and=”” tested=”” for=”” colorblindness=”” to=”” determine=”” whether=”” gender=”” and=”” colorblindness=”” are=”” independent.=”” the=”” critical=”” value=”” of=”” x2=”” for=”” a=”” 2=”” x=”” 2=”” table=”” using=”” a=”” 0.05=”” significance=”” level=”” is=”” 3.841.=”” if=”” the=”” value=”” of=”” the=”” x2=”” statistic=”” is=”” 3.427,=”” state=”” your=”” conclusion=”” about=”” the=”” relationship=”” between=”” gender=”” and=”” colorblindness.=”” a.=”” do=”” not=”” reject=”” h0.=”” there=”” is=”” not=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” gender=”” and=”” colorblindness=”” are=”” related.=”” b.=”” do=”” not=”” reject=”” h0.=”” there=”” is=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” gender=”” and=”” colorblindness=”” are=”” related.=”” c.=”” reject=”” h0.=”” there=”” is=”” not=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” gender=”” and=”” colorblindness=”” are=”” related.=”” d.=”” reject=”” h0.=”” there=”” is=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” gender=”” and=”” colorblindness=”” are=”” related.=”” question=”” 28=”” of=”” 40=”” one=”” hundred=”” people=”” are=”” selected=”” at=”” random=”” and=”” tested=”” for=”” colorblindness=”” to=”” determine=”” whether=”” gender=”” and=”” colorblindness=”” are=”” independent.=”” the=”” critical=”” value=”” of=”” x2=”” for=”” a=”” 2=”” x=”” 2=”” table=”” using=”” a=”” 0.05=”” significance=”” level=”” is=”” 3.841.=”” if=”” the=”” value=”” of=”” the=”” x2=”” statistic=”” is=”” 4.613,=”” state=”” your=”” conclusion=”” about=”” the=”” relationship=”” between=”” gender=”” and=”” colorblindness.=”” a.=”” reject=”” h0.=”” there=”” is=”” not=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” gender=”” and=”” colorblindness=”” are=”” related.=”” b.=”” reject=”” h0.=”” there=”” is=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” gender=”” and=”” colorblindness=”” are=”” related.=”” c.=”” do=”” not=”” reject=”” h0.=”” there=”” is=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” gender=”” and=”” colorblindness=”” are=”” related.=”” d.=”” do=”” not=”” reject=”” h0.=”” there=”” is=”” not=”” sufficient=”” evidence=”” to=”” support=”” the=”” claim=”” that=”” gender=”” and=”” colorblindness=”” are=”” related.=”” question=”” 29=”” of=”” 40=”” a=”” 95%=”” confidence=”” interval=”” for=”” the=”” mean=”” of=”” a=”” normal=”” population=”” is=”” found=”” to=”” be=”” 15.6=””>< âµ=””>< 24.8.=”” what=”” is=”” the=”” margin=”” of=”” error?=”” a.=”” 4.4=”” b.=”” 4.6=”” c.=”” 4.8=”” d.=”” 5.0=”” question=”” 30=”” of=”” 40=”” a=”” large=”” test=”” statistic=”” f=”” tells=”” us=”” that=”” the=”” sample=”” means=”” __________=”” the=”” data=”” within=”” the=”” individual=”” samples,=”” which=”” would=”” be=”” unlikely=”” if=”” the=”” populations=”” means=”” really=”” were=”” equal=”” (as=”” the=”” null=”” hypothesis=”” claims).=”” a.=”” differ=”” more=”” than=”” b.=”” differ=”” less=”” than=”” c.=”” are=”” equal=”” to=”” d.=”” do=”” not=”” vary=”” with=”” question=”” 31=”” of=”” 40=”” a=”” 95%=”” confidence=”” interval=”” for=”” the=”” mean=”” of=”” a=”” normal=”” population=”” is=”” found=”” to=”” be=”” 17.6=””>< âµ=””>< 23.6.=”” what=”” is=”” the=”” margin=”” of=”” error?=”” a.=”” 2.0=”” b.=”” 2.7=”” c.=”” 3.0=”” d.=”” 4.0=”” question=”” 32=”” of=”” 40=”” the=”” following=”” data=”” were=”” analyzed=”” using=”” one-way=”” analysis=”” of=”” variance.=”” a=”” b=”” c=”” 34=”” 27=”” 19=”” 26=”” 23=”” 31=”” 31=”” 29=”” 22=”” 28=”” 21=”” 22=”” which=”” one=”” of=”” the=”” following=”” statements=”” is=”” correct?=”” a.the=”” purpose=”” of=”” the=”” analysis=”” is=”” to=”” determine=”” whether=”” the=”” groups=”” a,=”” b,=”” and=”” c=”” are=”” independent.=”” b.=”” the=”” purpose=”” of=”” the=”” analysis=”” is=”” to=”” test=”” the=”” hypothesis=”” that=”” the=”” population=”” means=”” of=”” the=”” three=”” groups=”” are=”” equal.=”” c.=”” the=”” purpose=”” of=”” the=”” analysis=”” is=”” to=”” test=”” the=”” hypothesis=”” that=”” the=”” population=”” variances=”” of=”” the=”” three=”” groups=”” are=”” equal.=”” d.=”” the=”” purpose=”” of=”” the=”” analysis=”” is=”” to=”” test=”” the=”” hypothesis=”” that=”” the=”” sample=”” means=”” of=”” the=”” three=”” groups=”” are=”” equal.=”” question=”” 33=”” of=”” 40=”” one=”” hundred=”” people=”” are=”” selected=”” at=”” random=”” and=”” tested=”” for=”” colorblindness=”” to=”” determine=”” whether=”” gender=”” and=”” colorblindness=”” are=”” independent.=”” the=”” following=”” counts=”” were=”” observed.=”” colorblind=”” not=”” colorblind=”” total=”” male=”” 7=”” 53=”” 60=”” female=”” 1=”” 39=”” 40=”” total=”” 8=”” 92=”” 100=”” state=”” the=”” null=”” and=”” alternative=”” hypothesis=”” for=”” the=”” information=”” above.=”” a.=”” h0:=”” colorblindness=”” and=”” gender=”” are=”” dependent=”” characteristics.=”” ha:=”” colorblindness=”” and=”” gender=”” are=”” related=”” in=”” some=”” way.=”” b.=”” h0:=”” colorblindness=”” and=”” gender=”” are=”” independent=”” characteristics.=”” ha:=”” colorblindness=”” and=”” gender=”” are=”” not=”” related=”” in=”” any=”” way.=”” c.=”” h0:=”” colorblindness=”” and=”” gender=”” are=”” dependent=”” characteristics.=”” ha:=”” colorblindness=”” and=”” gender=”” are=”” not=”” related=”” in=”” any=”” way.=”” d.=”” h0:=”” colorblindness=”” and=”” gender=”” are=”” independent=”” characteristics.=”” ha:=”” colorblindness=”” and=”” gender=”” are=”” related=”” in=”” some=”” way.=”” question=”” 34=”” of=”” 40=”” which=”” of=”” the=”” following=”” statements=”” is=”” true?=”” a.=”” the=”” t=”” distribution=”” cannot=”” be=”” used=”” when=”” finding=”” a=”” confidence=”” interval=”” for=”” the=”” population=”” mean=”” with=”” a=”” small=”” sample=”” whenever=”” the=”” sample=”” comes=”” from=”” a=”” symmetric=”” population.=”” b.=”” the=”” t=”” distribution=”” can=”” be=”” used=”” when=”” finding=”” a=”” confidence=”” interval=”” for=”” the=”” population=”” mean=”” with=”” a=”” small=”” sample=”” whenever=”” the=”” sample=”” comes=”” from=”” a=”” symmetric=”” population.=”” c.=”” the=”” p=”” distribution=”” can=”” be=”” used=”” when=”” finding=”” a=”” confidence=”” interval=”” for=”” the=”” population=”” mean=”” with=”” a=”” small=”” sample=”” whenever=”” the=”” sample=”” comes=”” from=”” a=”” symmetric=”” population.=”” d.=”” the=”” p=”” distribution=”” can=”” be=”” used=”” when=”” finding=”” a=”” confidence=”” interval=”” for=”” the=”” population=”” mean=”” with=”” a=”” small=”” sample=”” whenever=”” the=”” sample=”” comes=”” from=”” a=”” symmetric=”” population.=”” question=”” 35=”” of=”” 40=”” the=”” margin=”” of=”” error=”” in=”” estimating=”” the=”” population=”” mean=”” of=”” a=”” normal=”” population=”” is=”” e=”9.3″ when=”” the=”” sample=”” size=”” is=”” 15.=”” if=”” the=”” sample=”” size=”” had=”” been=”” 25=”” and=”” the=”” sample=”” standard=”” deviation=”” did=”” not=”” change,=”” would=”” the=”” margin=”” of=”” error=”” be=”” larger=”” or=”” smaller=”” than=”” 9.3?=”” a.=”” smaller.=”” e=”” increases=”” as=”” the=”” square=”” root=”” of=”” the=”” sample=”” size=”” gets=”” larger.=”” b.=”” smaller.=”” e=”” decreases=”” as=”” the=”” square=”” root=”” of=”” the=”” sample=”” size=”” gets=”” larger.=”” c.=”” larger.=”” e=”” decreases=”” as=”” the=”” square=”” root=”” of=”” the=”” sample=”” size=”” gets=”” larger.=”” d.=”” larger.=”” e=”” increases=”” as=”” the=”” square=”” root=”” of=”” the=”” sample=”” size=”” gets=”” larger.=”” question=”” 36=”” of=”” 40=”” one=”” hundred=”” people=”” are=”” selected=”” at=”” random=”” and=”” tested=”” for=”” colorblindness=”” to=”” determine=”” whether=”” gender=”” and=”” colorblindness=”” are=”” independent.=”” the=”” following=”” counts=”” were=”” observed.=”” colorblind=”” not=”” colorblind=”” total=”” male=”” 8=”” 52=”” 60=”” female=”” 2=”” 38=”” 40=”” total=”” 10=”” 90=”” 100=”” state=”” the=”” null=”” and=”” alternative=”” hypothesis=”” for=”” the=”” test=”” associated=”” with=”” this=”” data.=”” a.=”” h0:=”” colorblindness=”” and=”” gender=”” are=”” dependent=”” characteristics.=”” ha:=”” colorblindness=”” and=”” gender=”” are=”” not=”” related=”” in=”” any=”” way.=”” b.=”” h0:=”” colorblindness=”” and=”” gender=”” are=”” dependent=”” characteristics.=”” ha:=”” colorblindness=”” and=”” gender=”” are=”” related=”” in=”” some=”” way.=”” c.=”” h0:=”” colorblindness=”” and=”” gender=”” are=”” independent=”” characteristics.=”” ha:=”” colorblindness=”” and=”” gender=”” are=”” not=”” related=”” in=”” any=”” way.=”” d.=”” h0:=”” colorblindness=”” and=”” gender=”” are=”” independent=”” characteristics.=”” ha:=”” colorblindness=”” and=”” gender=”” are=”” related=”” in=”” some=”” way.=”” question=”” 37=”” of=”” 40=”” the=”” __________=”” test=”” statistic=”” is=”” for=”” the=”” one-way=”” analysis=”” of=”” variance.=”” a.=”” p-value=”” b.=”” t=”” c.=”” f=”” d.=”” p=”” question=”” 38=”” of=”” 40=”” a=”” golfer=”” wished=”” to=”” find=”” a=”” ball=”” that=”” would=”” travel=”” more=”” than=”” 160=”” yards=”” when=”” hit=”” with=”” his=”” 7-iron=”” with=”” a=”” club=”” speed=”” of=”” 90=”” miles=”” per=”” hour.=”” he=”” had=”” a=”” golf=”” equipment=”” lab=”” test=”” a=”” low=”” compression=”” ball=”” by=”” having=”” a=”” robot=”” swing=”” his=”” club=”” 8=”” times=”” at=”” the=”” required=”” speed.=”” state=”” the=”” null=”” and=”” alternative=”” hypotheses=”” for=”” this=”” test.=”” a.=”” h0:=”” âµ=”160;” ha:=”” âµ=””> 150

B. H0:

Âµ = 150; Ha: Âµ > 150

C. H0:

Âµ = 160; Ha: Âµ > 160

D. H0:

Âµ = 140; Ha: Âµ > 160

Question

39 of 40

One hundred people are selected at random and

tested for colorblindness to determine whether gender and colorblindness are

independent. The following counts were observed.

Colorblind Not Colorblind Total

Male 7

53 60

Female 1

39 40

Total 8

92 100

Find the value of the X2 statistic for the

data above.

A. 1.325

B. 1.318

C. 1.286

D. 1.264

Question

40 of 40

A golfer wished to find a ball that would

travel more than 170 yards when hit with his 6-iron with a club head speed of

90 miles per hour. He had a golf equipment lab test a low compression ball by

having a robot swing his club 12 times at the required speed. State the null

and alternative hypotheses for this test.

A.

H0: Âµ > 170; Ha: Âµ = 170

B.

H0: Âµ < 170;=”” ha:=”” âµ=”170″ c.=”” h0:=”” âµ=”170;” ha:=”” âµ=””> 170

D.

H0: Âµ = 160; Ha: Âµ > 160