Respuesta :
Answer:
(a) Null Hypothesis, [tex]H_0[/tex] : [tex]\mu[/tex] = $1,150
Alternate Hypothesis, [tex]H_A[/tex] : [tex]\mu[/tex] [tex]\neq[/tex] $1,150
(b) The test statistic is 3.571.
(c) We conclude that the mean of all account balances is significantly different from $1,150.
Step-by-step explanation:
We are given that a sample of 81 account balances of a credit company showed an average balance of $1,200 with a standard deviation of $126.
We have test the hypothesis to determine whether the mean of all account balances is significantly different from $1,150.
Let [tex]\mu[/tex] = mean of all account balances
(a)So, Null Hypothesis, [tex]H_0[/tex] : [tex]\mu[/tex] = $1,150 {means that the mean of all account balances is equal to $1,150}
Alternate Hypothesis, [tex]H_A[/tex] : [tex]\mu[/tex] [tex]\neq[/tex] $1,150 {means that the mean of all account balances is significantly different from $1,150}
The test statistics that will be used here is One-sample t test statistics as we don't know about population standard deviation;
T.S. = [tex]\frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }[/tex] ~ [tex]t_n_-_1[/tex]
where, [tex]\bar X[/tex] = sample average balance = $1,200
s = sample standard deviation = $126
n = sample of account balances = 81
(b) So, test statistics = [tex]\frac{1,200-1,150}{\frac{126}{\sqrt{81} } }[/tex] ~ [tex]t_8_0[/tex]
= 3.571
The value of the sample test statistics is 3.571.
(c) Now, P-value of the test statistics is given by the following formula;
P-value = P( [tex]t_8_0[/tex] > 3.571) = Less than 0.05%
Because in the t table the highest critical value for t at 80 degree of freedom is given between 3.460 and 3.373 at 0.05% level.
Now, since P-value is less than the level of significance as 5% > 0.05%, so we sufficient evidence to reject our null hypothesis.
Therefore, we conclude that the mean of all account balances is significantly different from $1,150.
