Question

1. Where do the values tend to cluster for your data? Provide a range of values and discuss their significance as it pertains to your particular data set.

5. Use the frequency distribution to plot an appropriate graph for the data. Housing Prices In US States Housing Prices Upper Limit 108,000 to < 198,000 197999 198000 to 288,000 287999 288,000 to <378,000 377999 378,000 to < 468,000 467999 468,000 to <558,000 557999 558,000 to < 648,000 647999 Frequency Frequency 19 More Upper Limit 108,000 to <198,000 198000 to 288,000 288,000 to < 378,000 378,000 to <468,000 468,000 to <558,000 558,000 to < 648,000 More 108,000 to < 198,000 198000 to < 288,000 288,000 to <378,000 378,000 to < 468,000 468,000 to < 558,000 558,000 to < 648,000 Price Interval

Answer 1

The values tend to cluster for lower tail of the data that is for lower housing price.

For this data set this is true. Because as price of house increases then the number of person's who bye the house decreases. Hence values are clustered in lower tail.