Target Exam

CUET

Subject

-- Applied Mathematics - Section B2

Chapter

Inferential Statistics

Question:

Consider the following hypothesis test:

$H_0:μ≤12$

$H_a : μ > 12$

A sample of 25 provided a sample mean $\bar x = 14$ and a sample standard deviation $S = 4.32$. What is the rejection rule using the critical value? What is your conclusion? ($α = 0.05$)

Options:

Reject $H_0$ if $t>1.711$; conclude there is sufficient evidence that $μ>12$.

Reject $H_0$ if $t>2.064$; conclude there is insufficient evidence that $μ>12$.

Reject $H_0$ if $t>2.064$; conclude there is sufficient evidence that $μ>12$.

Reject $H_0$ if $t<−2.064$; conclude there is sufficient evidence that $μ<12$.

Correct Answer:

Reject $H_0$ if $t>1.711$; conclude there is sufficient evidence that $μ>12$.

Explanation:

The correct answer is Option (1) → Reject $H_0$ if $t>1.711$; conclude there is sufficient evidence that $μ>12$.

Given $n = 25, \bar x = 14, S = 4.32, μ_0= 12, α = 0.05$

$t =\frac{\bar x-μ_0}{S/\sqrt{n}}=\frac{14-12}{4.32/\sqrt{25}}$

$=\frac{10}{4.32}= 2.31$

$∴ t = 2.31$

and degrees of freedom $= 25-1 = 24$

Reject $H_0$, if $t≥ t_α$

$t_α = t_{0.05}$

From the table, $t_{0.05} = 1.711$ with $df = 24$

$∵2.31 > 1.711$

∴ Reject $H_0$.