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A survey of 430 randomly chosen adults found that 21% of the 222 men and 18% of the 208 women had purchased books online. A researcher used a Z Test Difference of Proportions to investigate this observed difference in proportions and calculated p-value 0.22.
a. Each of the following conclusions is wrong. Briefly explain why.
There is strong evidence that men are more likely than women to purchase books online.
There is a 22% chance that the same proportion of men and women buy books online.
b. Write a meaningful conclusion for this hypothesis test.
Ho: p1 - p2 = 0
Ha: p1 - p2 > 0
sample #1 ----->
first sample size, n1=
222
number of successes, sample 1 = x1=
46.62
proportion success of sample 1 , p̂1=
x1/n1= 0.2100
sample #2 ----->
second sample size, n2 =
208
number of successes, sample 2 = x2 =
37.44
proportion success of sample 1 , p̂ 2= x2/n2 =
0.1800
difference in sample proportions, p̂1 - p̂2 =
0.2100 - 0.1800 =
0.0300
pooled proportion , p = (x1+x2)/(n1+n2)=
0.195488372
std error ,SE = =SQRT(p*(1-p)*(1/n1+
1/n2)= 0.03827
Z-statistic = (p̂1 - p̂2)/SE = ( 0.030
/ 0.0383 ) = 0.78
p-value = 0.22 [excel function
=NORMSDIST(-z)]
Conclusion: There is not enough evidence to conclude that men are more likely than women to purchase online.
There is strong evidence that men are more likely than women to purchase books online. Incorrect as opposite is true
There is a 22% chance that the same proportion of men and women buy books online. 22% chances are that men more likelt than women
Since the p-value is high, we have evidence that there is no difference in the proportions of men and women who buy books online. High p value might also indicate that women are more likely than men
b)
Conclusion: There is not enough evidence to conclude that men are more likely than women to purchase online.
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Please don't copy another solution. Make it original! A survey of 430 randomly chosen adults found...
A survey of 430 randomly chosen adults found that 21% of the 222 men and 18% of the 208 women had purchased books online. A researcher used a Z Test Difference of Proportions to investigate this observed difference in proportions and calculated p-value 0.22.Each of the following conclusion is wrong. Briefly explain why.There is strong evidence that men are more likely than women to purchase books online.Since the p-value is high, we have evidence that there is no difference in...
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