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Refer exercise 35.Suppose we select independent SRSs of 25men aged 20to 34and 36boys aged 14and calculate the sample mean heights xMand xB.

(a) Describe the shape, center, and spread of the sampling distribution ofxM-xB.

(b) Find the probability of getting a difference in sample means xM-xBthat鈥檚 less than0mg/dl. Show your work.

(c) Should we be surprised if the sample mean cholesterol level for the 14-year-old boys exceeds the sample mean cholesterol level for the men? Explain.

Short Answer

Expert verified

(a) The shape, center, and spread of the sampling distribution is normal with xM-xB=18and xM-xB9.6042

(b) The probability of getting a difference in sample means that鈥檚 less than0mg/dl.

(c) Yes we should be surprised if the sample mean cholesterol level for the 14-year-old boys exceeds the sample mean cholesterol level for the men.

Step by step solution

01

Part (a) Step 1: Given information

Select independent SRSs of 24men aged 20to 34and 36boys aged 14 and calculate the sample mean heights.

02

Part (a) Step 2: Explanation

From exercise 35,

Distribution M: Normal with M=188andM=41

Distribution B: Normal with B=170andB=30

nM=25

nB=36

The sample mean xis normally distributed with mean and standard deviation /n(if the population distribution is normal with mean and standard deviation )

Properties mean and standard deviation

aX+bY=aX+bY

aX+bY=a2X2+b2Y2

Therefore we get,

localid="1650363687592" xM-xB=xM-xB=188-170=18

localid="1650363704750" xM-xB=xM2+xB2=41225+302369.6042

The distribution is normal withxM-xB=18andxM-xB9.6042.

03

Part (b) Step 1: Given information

Select independent SRSs of 24men aged 20to 34and 36boys aged 14 and calculate the sample mean heights.

04

Part (b) Step 2: Explanation

From the result of part (a),

xM-xB=18and xM-xB9.6042

The z-value is the difference between the population mean and the standard deviation, divided by the population mean:

localid="1650514978192" z=x-=0-189.6042=-1.87

Find the probability using table A

localid="1650363838861" PxM-xB<0=P(Z<-1.87)=0.0307

PxM-xB<0=0.0307.

05

Part (c) Step 1: Given information

Select independent SRSs of 24men aged 20to 34and 36 boys aged 14 and calculate the sample mean heights.

06

Part (c) Step 2: Explanation

From part (b)

PxM-xB<0=0.0307=3.07%

Because the chance is less than , it's improbable that the sample mean for boys will be higher than the sample mean for men, therefore we shouldn't be astonished.

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