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Spinning heads? When a fair coin is flipped, we all know that the probability the coin lands on heads is 0.50 However, what if a coin is spun? According to the article “Euro Coin Accused of Unfair Flipping” in the New Scientist, two Polish math professors and their students spun a Belgian euro coin 250 times. It landed heads 140 times. One of the professors concluded that the coin was minted asymmetrically. A representative from the Belgian mint indicated the result was just chance. Assume that the conditions for inference are met.

a. Carry out a chi-square test for goodness of fit to test if heads and tails are equally likely when a euro coin is spun.

b. In Chapter 9 Exercise 50 you analyzed these data with a one-sample z test for a proportion. The hypotheses were H0:p=0.5 and Ha:p0.5

where p=the true proportion of heads. Calculate the z statistic and P-value for this test. How do these values compare to the values from part (a)?

Short Answer

Expert verified

Part (a) When a euro coin is spun, there is no persuasive evidence that heads and tails are not equally likely.

Part (b) When a euro coin is spun, there is no persuasive evidence that heads and tails are not equally likely.

Step by step solution

01

 Part (a) Step 1: Given information

Sample size =n=25

Level of significance =α=0.05

02

Part (a) Step 2: Concept

Test statistic: χ2=Σ(OE)2E

03

Part (a) Step 3: Calculation

The null and alternative hypotheses:

H0:p1=p2=12=0.5Ha:Atleastoneofthepisisincorrect.

Expected values can be found as,

E1=np1=250×0.5=125E2=np2=250×0.5=125

Therefore, test statistic is,

χ2=(140125)2125+(110125)2125=3.6

P-value using excel formula, =CHIDIST(3.6,1)

P-value =0.0578

Decision: P-value>0.05,failtorejectH0

When a euro coin is spun, there is no persuasive evidence that heads and tails are not equally likely.

04

Part (b) Step 1: Calculation

The null and alternative hypotheses:

H0:p=0.5Ha:p0.5

Using excel,

Decision: P-value>0.05,failtorejectH0

When a euro coin is spun, there is no persuasive evidence that heads and tails are not equally likely.

Here, z2=(1.90)2=3.6=χ2

Also, P-value is same for both tests.

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