In: Statistics and Probability
A well-known brokerage firm executive claimed that 40% of
investors are currently confident of meeting their investment
goals. An XYZ Investor Optimism Survey, conducted over a two week
period, found that in a sample of 700 people, 42% of them said they
are confident of meeting their goals.
Test the claim that the proportion of people who are confident is
larger than 40% at the 0.025 significance level.
The null and alternative hypothesis would be:
H0:μ≥0.4H0:μ≥0.4
H1:μ<0.4H1:μ<0.4
H0:μ≤0.4H0:μ≤0.4
H1:μ>0.4H1:μ>0.4
H0:μ=0.4H0:μ=0.4
H1:μ≠0.4H1:μ≠0.4
H0:p≥0.4H0:p≥0.4
H1:p<0.4H1:p<0.4
H0:p=0.4H0:p=0.4
H1:p≠0.4H1:p≠0.4
H0:p≤0.4H0:p≤0.4
H1:p>0.4H1:p>0.4
The test is:
right-tailed
two-tailed
left-tailed
The test statistic is: (to 3 decimals)
The p-value is: (to 4 decimals)
Based on this we:
Null hypothesis
Alternative hypothesis
The test is:
right-tailed
We have for given example,
Population proportion value is =0.4
x=294
n=700
Level of significance = 0.025
Estimate for sample proportion
Z test statistic formula for proportion
=1.080
P value is = 0.1400................by using Z table or by using Excel command 1-NORMSDIST(1.080)
P value is =0.1400 > 0.025
Fail to reject the null hypothesis