Author Question: Consider the following discrete population distribution:X2468P(X=x)0.130.340.230.30We randomly draw ... (Read 16 times)

bvyeehaw · **on:** Feb 26, 2023

Question 1

Consider a large population with a mean of 150 and a standard deviation of 27. A random sample of size 36 is taken from this population. What is the standard error of the sampling distribution of the sample mean?

◦

4.17

◦

4.50

◦

5.20

◦

5.56

Question 2

Consider the following discrete population distribution:

X	2	4	6	8
P(X=x)	0.13	0.34	0.23	0.30

We randomly draw samples of size 5 from this population using the simple random sampling technique. If we know thatμ_x= 5.4,σ_x= 2.069, what are the mean and the standard deviation of the sampling distribution of sample means? Assume the Central Limit Theorem applies.

◦

μ\(\style{font-family:Times New Roman;}{\overline x}\)= 5.4,σ\(\style{font-family:Times New Roman;}{\overline x}\)= 2.069

◦

μ\(\style{font-family:Times New Roman;}{\overline x}\)= 1.08,σ\(\style{font-family:Times New Roman;}{\overline x}\)= 0.4138

◦

μ\(\style{font-family:Times New Roman;}{\overline x}\)= 5.4,σ\(\style{font-family:Times New Roman;}{\overline x}\)= 0.9253

◦

μ\(\style{font-family:Times New Roman;}{\overline x}\)= 5.4,σ\(\style{font-family:Times New Roman;}{\overline x}\)= 0.4138

lhn821 · **Reply #1 on:** Feb 26, 2023

A FREE account is required to view all solutions!

Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.

Answer Preview

Only 35% of students answer this correctly