Respuesta :
Using Z- distribution it is found that the mean length of jail time has increased because the test statistics is greater than the critical value.
Z- distribution: It is a special normal distribution where the mean is 0 and standard deviation is 01.
z = (x -μ) / σ
At the Null hypothesis, it is tested if the mean length of jail time is still of 2.5 years.,
i.e., H₀ :μ = 2.5
Null hypothesis : It refers to a hypothesis that states that there is no relationship between two population parameters.
At the alternative hypothesis, it is tested if it has increased
i.e., H₁ :μ>2.5
Alternative Hypothesis: The alternative hypothesis states the research prediction of an effect or relationship.
we have the standard deviation for population thus the z- distribution is used. The test statistics is :
z= ⁻ₓ -μ /σ /√n
where, x is the sample mean
μ is the value tested at the null hypothesis.
σ is the standard deviation of sample.
n is the sample size.
For this problem the values of parameter are:
x= 5 ,σ =1.4 ,μ = 2.5 and n = 27
hence the value is :
z= ⁻ₓ -μ /σ /√n
= 5 - 2.5 / 1.4 ÷ √27
= 2.5 × √27 /1.4
= 9.27
The critical value for a right tailed test as we are testing if the mean is greater than a value with a significance level of 0.05 is of 2*= 1.645.
since, the test statistics is greater than the critical value, it can be concluded that the mean length of jail time has increased.
Learn more about Standard Deviation :
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