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People of taste are supposed to prefer fresh-brewed coffee to the instant variety. On the other hand, perhaps many coffee drinkers just want their caffeine fix. A sceptic claims that only half of all coffee drinkers prefer fresh-brewed coffee. To test this claim, we ask a random sample of 50 coffee drinkers in a small city to take part in a study. Each person tastes two unmarked cups-one containing instant coffee and one containing fresh-brewed coffee-and says which he or she prefers. We find that 36 of the 50 choose fresh coffee.

(a) We presented the two cups to each coffee drinker in a random order, so that some people tasted the fresh coffee first, while others drank the instant coffee first. Why do you think we did this?

(b) Do these results give convincing evidence that coffee drinkers favour fresh-brewed over instant coffee? Carry out a significance test to help answer this question.

Short Answer

Expert verified

a. People have taken the coffee in a random order

b. coffee drinkers favour fresh-brewed coffee

Step by step solution

01

Introduction

The null hypothesis is a typical statistical hypothesis which recommends that no statistical relationship and significance exists in a bunch of given single noticed variables, between two arrangements of noticed information and estimated peculiarities.

02

Explanation Part (a)

In random order, two cups were presented to the people. some people drank fresh coffee first and some drank instant coffee.

Hence people have taken the coffee in random order.

03

Explanation Part (b) (1)

The sample size is n =50

People that chose fresh coffee x = 36

role="math" localid="1652930402772" p-=xn=3650=0.72

Calculating the null and alternative hypotheses,

H0:p=0.5Ha:p>0.5

Random selection of people from a sample of 50,

role="math" localid="1652930469566" np0=50×0.5=25

np010

n1p0=50×(10.5)=25

n1p010

04

Explanation Part (b) (2)

using,

Z=p-p0P01p0n

Z=0.720.500.5(10.5)50=0.220.0707=3.11

The p-value is 3.11

Now, considering P(Z<3.11)=0.9991

P(Z=3.11)=1P(Z<3.11)=10.9991=0.0009

Hence we can say that coffee drinkers favour fresh-brewed coffee from the above evidence.

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Most popular questions from this chapter

Study more! A student group claims that first-year students at a university study 2.5hours per night during the school week. A skeptic suspects that they study less than that on average. He takes a random sample of 30first-year students and finds that x=137minutes and sx=45minutes. A graph of the data shows no outliers but some skewness. Carry out an appropriate significance test at the 5%significance level. What conclusion do you draw?

For the study of Jordanian children in Exercise 4, the sample mean hemoglobin level was 11.3 g/dl and the sample standard deviation was 1.6 g/dl. A significance test yields a P-value of 0.0016.

(a) Interpret the P-value in context.

(b) What conclusion would you make if α= 0.05? α= 0.01? Justify your answer.

Is it significant? For students without special preparation, SAT Math scores in recent years have varied Normally with mean μ=518. One hundred students go through a rigorous training program designed to raise their SAT Math scores by improving their mathematics skills. Use your calculator to carry out a test of

H0:μ=518

Hα:μ>518

in each of the following situations.

(a) The students' scores have mean x¯=536.7and standard deviation sx=114. Is this result significant at the5%level?

(b) 'The students' scores have mean x=537.0and standard deviation sx=114. Is this result significant at the 5%level?

(c) When looked at together, what is the intended lesson of (a) and (b)?

What is significance good for? Which of the following questions does a significance test answer? Justify your answer.

(a) Is the sample or experiment properly designed?

(b) Is the observed effect due to chance?

(c) Is the observed effect important?

An opinion poll asks a random sample of adults whether they favor banning ownership of handguns by private citizens. A commentator believes that more than half of all adults favor such a ban. The null and alternative hypotheses you would use to test this claim are

a).H0:p^=0.5;Ha:p^>0.5

(b) H0:p=0.5;Ha:p>0.5

(c) H0:p=0.5;Ha:p<0.5

(d) H0:p=0.5;Ha:p0.5

(e) H0:p>0.5;Ha:p=0.5

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