A researcher wants to test if the mean price of houses in an area is greater than $145,000. Suppose we make the test at the 2% significance level. A sample of 36 houses selected from this area produces a mean price of $149,750 and a standard deviation of $24,600. What is the value of the test statistic?

The value of the test statistic is 1.158.

Step-by-step explanation:

We are given that a researcher wants to test if the mean price of houses in an area is greater than $145,000.

A sample of 36 houses selected from this area produces a mean price of $149,750 and a standard deviation of $24,600.

Let = mean price of houses in an area.

SO, Null Hypothesis, :  $145,000   {means that the mean price of houses in an area is smaller than or equal to $145,000}

Alternate Hypothesis, : > $145,000   {means that the mean price of houses in an area is greater than $145,000}

The test statistics that will be used here is One-sample t test statistics as we don't know about the population standard deviation;

                      T.S.  =  ~

where,  = sample mean price of houses selected = $149,750

             s = sample standard deviation = $24,600

             n = sample of houses = 36

So, test statistics  =    ~     

                               =  1.158

The value of the test statistic is 1.158.

p> q if you calculate p is100 q is 79

option: d is the correct answer.

d) none of the above.

step-by-step explanation:

clearly from the figure attached to the question we could see that there is no shape given. hence without any shape given in the figure and after rotation we can't obtained a square pyramid.

since, to obtain a image we need a proper figure of the pre-image so that it can be transformed.

hence, the correct answer is:

d) none of the above.

step-by-step explanation: