In: Statistics and Probability
Find the average price of homes in the county you selected and use that as population mean prices to state a hypothesis about the data. Note that you already have a sample mean of your area, Use this to set up a hypothesis test. Develop a summary of the five-step hypothesis testing model. ( I tried to provide as much information) Also please show work.
Average Price of home in my county= $580,400 Mean=640069.371428571 stand error= 20175.166257334
The Sample mean that already have = $ 640,069 Stand. Dev.=119357.893215687 count= 35 Variance: 14246306672.8874
Critical t= confidence=95% sign= 5%
2.05183052 |
(1) CONFIDENCE INTERVAL:
= 640069
s = 119357.8932
n = 35
=0.05
df = 35 - 1 = 34
From Table, critical values of t = 2.032
Confidence Interval:
So,
Confidence Interval:
(599068.13, 681069.87)
(2) HYPOTHESIS TEST:
Step 1:
H0: Null Hypothesis: = 580400 ( Average Price of home in my area is same as Average Price of home in my county) (Claim)
HA: Alternative Hypothesis: 580400 ( Average Price of home in my area is not same as Average Price of home in my county)
Step 2:
= 640069
s = 119357.8932
n = 35
=0.05
df = 35 - 1 = 34
From Table, critical values of t = 2.032
Step 3:
Test Statistic is given by:
Step 4:
Since calculated value of t = 2.958 is greater than critical value of t = 2.032, the difference is significant. Reject null hypothesis.
Step 5:
The data do not support theclaim that average Price of home in my
area is not same as Average Price of home in my county.