Answer:
0.24930286...
Step-by-step explanation:
Answer:
628 hope it helps
Step-by-step explanation:
Answer:
Sorted Data Set: 2, 10, 12, 13, 14, 15, 17, 18, 18, 20, 21
Mean (Average) 14.545454545455
Median 15
Range 19
Mode 18, appeared 2 times
Geometric Mean 12.803503609558
Largest 21
Smallest 2
Sum 160
Count 11
First Quartile Q1 = 12
Second Quartile Q2 = 15
Third Quartile Q3 = 18
Interquartile Range IQR = 6
Answer:
The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
Population:
Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000
Sample of 40
Shape approximately normal
Mean 350000
Standard deviation 
The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.