Respuesta :
The given analytical tools:
a. The single sample z-test analysis is appropriate for the data where the sample size is large and all data points are independent. Where the standard deviation is given(known).
b. The single sample t-test analysis is appropriate for the data where the sample size is small and the population variation or standard deviation is unknown.
What is single sample z-test analysis?
This is a type of hypothesis test where the sample means and the population means are compared when the population variance or the standard deviation are given(known).
z = (X - μ)/(σ/√n)
Where X - sample mean, μ - population mean, σ - population standard deviation, and n - sample size.
Here the sample size is large and all data points are independent.
What is single sample t-test analysis?
This is a type of parametric hypothesis test where the sample means and the population means are compared when the population variance or the standard deviation are not given(unknown).
t = (X - μ)/(s/√n)
Where X - sample mean, μ - population mean, s - sample standard deviation, and n - sample size.
Here the sample size is small.
Learn more about z-test and t-test analysis here:
https://brainly.com/question/27921714
https://brainly.com/question/14275602
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