In: Statistics and Probability
A real estate association for a specific city puts the average price at which a house was sold in a given year at
$ 259 comma 109$259,109.
Assume that the standard deviation of the house prices is
$116 comma 088116,088.
Suppose a researcher did a survey of a random selection of
3434
house sale prices in this year and obtained an average house price of
$ 286 comma 489$286,489.
What's the chance that such a survey would have resulted in an average price this high or higher?
The question is asking us to find the p value.
For this we need top understand the number of tails and type of test (t or z)
The Hypothesis:
H0: = 259,109
Ha: 259,109
This is a 2 tailed test.
The Test Statistic: Since the population standard deviation is known and n > 30, we use the z distribution.
The test statistic is given by the equation:
The p Value: The p value (2 tailed) for Z = 1.38, is; p value = 0.1676
(The definition of the p value is the probability of getting a tests statistic as high as or greater than the one obtained assuming the null hypothesis to be true)