Sketch a normal.probability plot to check the normality

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Reference no: EM13166350

Data Set 1: The following data set represents a sample of 42 house prices in a county in VA collected in 2011. Let the variable X be the house price (in the unit of '000 dollars) in 2011.

205.22,    202.02,    179.26,    197.08,    271.17,    236.34,
148.45, 198.15,    225.17,    208.77,    231.11,    135.17,
215.61,    205.39,    193.62,    255.39,    194.68,    231.41,
240.27,    219.17,    211.97,    171.32,    193.19,    187.61,
180.34,    275.46,    192.84,    221.78,    174.49,    210.28,
242.94,    222.36,     227.45, 168.74,    205.51,    233.85,
206.32,    217.24,    198.76, 156.56,    242.33,    212.47,

Can use TI-84 Plus calculator, please explain unanswered questions

Test Jack's claim that,the average house price falls during 2011 based on sample Data set 1 at significance level of 1%


1.Store the data in a list in your calculator


2. Variable x is: house prices


3. Parameter of interest is:

                average house price falls

4. Determine which test to use, z test or,f test. Why?

                   =z-test, b/c >40

5. If it is a t test, sketch a normal.probability plot to check the normality of the population.


6. State the null and alternative hypothesis.


7. Decide on the significance level, alpha.

                  = .01

8. Calculate a p-value based on the sample data.


9. Make a conclusion and interpret the result.

Reference no: EM13166350

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