A survey of CPAs across the US found that the average net income for sole proprietor CPAs is not more than $74,924. Because this survey is more than 15 years old, an accounting researcher who wanted to test this finding took a sample of 112 sole proprietor accountants and found the net income to be $78,695 with a population standard deviation of $14,530. If you want to test at the 5% significance level if the survey findings still hold true, what are your null and alternative hyposthesis?
Ho : μ ≤ 74,924; Ha : μ > 74,924
Ho : μ > 74,924; Ha : μ < 74,924
Ho : x̄ < 74,924; Ha : x̄ > 74,924
Ho : μ = 74,924; Ha : μ≠74,924
Sample size n=112
sample means x=78695
Population standard deviation=14530
Null Hypothesis"(H_o):\\mu\\le 74924" ( The average net income for sole proprietor CPAs is not more than $74,924.
Alternate hypothesis ("H_a):\\mu> 74924" ( the average net income for sole proprietor CPAs is more than $74,924.
Level of significance=0.05
Critical value at 5%="\\pm 1.96"
Test statics-
"z=\\dfrac{x-\\mu}{\\frac{\\sigma}{\\sqrt{n}}}=\\dfrac{(78695-74924)\\sqrt{112}}{14530}=2.3539"
As calculated value of z is bigger than 1.96, so Null hypothesis is rejected i.e. the average net income for sole proprietor CPAs is more than $74,924.
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