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Consider the following hypothesis test:-

H₀: μ = 20

H₁: μ ≠ 20

A sample of 40 provided a sample mean of 19. The standard deviation is 3. Then the value of the t-test statistic is:

Solution

Correct Option: 2

Given Information:

  • Population mean under H₀: μ = 20
  • Sample mean: x̄ = 19
  • Standard deviation: σ = 3
  • Sample size: n = 40

The formula for the t-test statistic is:

t=xˉμσ/nt = \frac{\bar{x} - \mu}{\sigma/\sqrt{n}}

Where:

  • x̄ = sample mean
  • μ = hypothesized population mean
  • σ = standard deviation
  • n = sample size

Substituting the values:

t=19203/40t = \frac{19 - 20}{3/\sqrt{40}}

t=13/40t = \frac{-1}{3/\sqrt{40}}


Calculate the denominator (standard error):

406.32\sqrt{40} \approx 6.32

340=36.32=0.474\frac{3}{\sqrt{40}} = \frac{3}{6.32} = 0.474


Complete the calculation:

t=10.474t = \frac{-1}{0.474}

t=2.1t = -2.1


The negative sign indicates the sample mean (19) is below the hypothesized mean (20).

Therefore, the value of the t-test statistic is -2.1.

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