Hypothesis: [Define the population parameter. Write null and alternative hypotheses. Note: For means, define a hypothesis that is greater than the population parameter. Specify your significance level.]

Data analysis: [Summarize your sample data using appropriate graphical displays and summary statistics.]

[Provide at least one histogram of your sample data.]

[In a table, provide summary statistics including sample size, mean, median, and standard deviation.]

Note: For quartiles 1 and 3, use the quartile function in Excel:

=QUARTILE([data range], [quartile number])

[Summarize your sample data, describing the center, spread, and shape in context.]

[Note: For shape, think about the distribution: skewed or symmetric.]

[Check the assumptions by determining if the normal condition has been met. Determine if there are any other conditions that you should check and whether they have been met.]

[Note: Think about the central limit theorem and sampling methods.]

Summary Statistics n Mean Median Std. Dev. Min Q1 Q3 Max Listing 1,000 342,365 318,000 125,914 135,300 265,250 381,600 987,600 price ($) Cost per 1,000 169 166 41 71 139 191 344 square foot ($) Square 1,000 2,111 1,881 921 1,101 1,626 2,215 6,516 feet This graph shows the frequency for listing price. National Listing Prices (Ss) 400 300 200 100 200000 400030 600000 50000O 1000400 listing price This graph shows the frequency for square feet. National Listing's Square Feet Frequency 300 200 100 2000 3009 4000 6000 square footN Mean Median SD min max Listing price 100 $357,770 $299,050 158139.6071 $157,050 $882,550 Cost per Square foot 100 $201 $156 132. 0180961 $94 $760 Square feet 100 1,848 1,850 261 . 1110315 1, 212 2, 645