In: Statistics and Probability
In a 4-week study about the effectiveness of using magnetic insoles to treat plantar heel pain, 17 of 54 subjects who wore magnetic insoles felt all or mostly better, while 18 of 41 subjects who wore non- magnetic insoles felt all or mostly better.
a) At 4% significance level, can we support a claim that there is a difference in the proportion of subjects who feel all or mostly better between the two groups? (Use the critical value approach and the P-value approach).
b) Find and interpret a 97% confidence interval for the difference in proportion of subjects who feel better in the two groups.
a)
Ho: p1 - p2 = 0
Ha: p1 - p2 ╪ 0
first sample size, n1=
54
number of successes, sample 1 = x1=
17
proportion success of sample 1 , p̂1=
x1/n1= 0.315
second sample size, n2 =
41
number of successes, sample 2 = x2 =
18
proportion success of sample 1 , p̂ 2= x2/n2 =
0.439
difference in sample proportions, p̂1 - p̂2 =
-0.1242
pooled proportion , p = (x1+x2)/(n1+n2)=
0.3684
std error ,SE = =SQRT(p*(1-p)*(1/n1+
1/n2)= 0.0999
Z-statistic = (p̂1 - p̂2)/SE = (-0.1242)/0.0999 =
-1.2431
critical value approach
z-critical value , Z* = 2.0537 [excel formula =NORMSINV(α/2)]
z stat <critical value , fail to reject Ho
p-value = 0.2138 [excel
formula =2*NORMSDIST(z)]
decision : p-value>α,Don't reject null
hypothesis
there is not enough evidence to support a claim that there is a difference in the proportion of subjects who feel all or mostly better between the two groups at α=0.04
b)
α=0.03
Z critical value = Z α/2 =
2.1701 [excel function: =normsinv(α/2)
Std error , SE = SQRT(p̂1 * (1 - p̂1)/n1 + p̂2 * (1-p̂2)/n2) = 0.10
margin of error , E = Z*SE = 2.1701*0.10 =
0.2170
confidence interval is
lower limit = (p̂1 - p̂2) - E = -0.124 -0.2170 =
-0.3412
upper limit = (p̂1 - p̂2) + E = -0.124 + 0.2170 =
0.0928
so, confidence interval is ( -0.3412 <
p1 - p2 < 0.0928 )