In: Statistics and Probability
A bank executive believes that average bank balances for individuals equals $15,000. The executive takes a random sample of 25 individuals and finds a sample mean of $12,800 and a sample standard deviation (s) of $4,000. Test the hypothesis at the 0.05 and 0.01 levels.
Solution:
Here, we have to use one sample t test for the population mean.
The null and alternative hypotheses are given as below:
Null hypothesis: H0: The average bank balances for individuals equals $15,000.
Alternative hypothesis: Ha: The average bank balances for individuals is not equals $15,000.
H0: µ = 15000 versus Ha: µ ≠ 15000
This is a two tailed test.
The test statistic formula is given as below:
t = (Xbar - µ)/[S/sqrt(n)]
From given data, we have
µ = 15000
Xbar = 12800
S = 4000
n = 25
df = n – 1 = 24
For α = 0.05
Critical value = - 2.0639 and 2.0639
(by using t-table or excel)
For α = 0.01
Critical value = - 2.7969 and 2.7969
(by using t-table or excel)
Test statistic is given as below:
t = (12800 – 15000)/[4000/sqrt(25)]
t = -2.75
P-value = 0.0111
(by using t-table)
P-value < α = 0.05
So, we reject the null hypothesis
There is not sufficient evidence at α = 0.05 to conclude that the average bank balances for individuals equals $15,000.
P-value > α = 0.01
So, we do not reject the null hypothesis
There is sufficient evidence at α = 0.01 to conclude that the average bank balances for individuals equals $15,000.