1. Let's say you collected information regarding the number of windows in each of the n homes you sampled from your state and that the fewest number of windows was 6 and the most number of windows a home had was 41. Assume that there are no outliers in the data set. Answer the following questions regarding a frequency distribution that could be constructed for this data and graphs that could be drawn based upon the frequency distribution. If you don't know what to answer for any part below, make up an answer. Don't leave any question unanswered! (Those are good words of advice.)

1. How many classes would be reasonable for the frequency distribution?
2. Based upon your answer to part a, what would be an appropriate class width? (Show your work.)
3. Based upon your previous answers, state the first class's lower class limit.
4. Based upon your previous two answers, what is the first class's upper limit?
5. Based upon your previous answers, what should the second class's lower limit be?
6. Based upon selected previous answer(s) that you gave above, state the x-coordinate of the point of the frequency polygon that would correspond to the first class of the frequency distribution.
7. Based upon selected previous answer(s) that you gave above, state the x-coordinate of the point of the ogive that would correspond to the first class of the frequency distribution.

1. A frequency distribution was constructed for the ages of all 25 of the CEO's of the Company X. To answer the parts of this problem, use the frequency distribution given below.

Ages Frequency

41-45 5

46-50 8

51-55 9

56-60 3

1. State the modal class or calculate the modal age of a CEO.
2. Calculate the mean age of a CEO of this company.
3. Calculate the standard deviation in the ages of the CEO's of this company.

1. Fill in the blanks of the descriptive analysis below using what you see in Parts 1 to 5 of your completed spreadsheet (you attached this spreadsheet to your response to the second activity in Week 1's Conference). If you did not complete both activities of Week 1's Conference, then please use Idaho's completed spreadsheet (see Idaho's attachment to the second activity in Week 1's Conference). The numerical values that belong in the blanks are already computed for you on the spreadsheet; no further computations should need to be made. What this problem of the quiz will test is your understanding of how to interpret various statistics and graphs. Note too that displayed on your spreadsheet there is more than one correct answer for some of the blanks. And a word of advice is to pay attention to the footnotes which appear below the analysis.
   Considering buying a home at a reasonable price? Then consider ___*___.
   Approximately _____% of homes surveyed in ______ that are listed on forsalebyowner.com are priced between $______ and $_____ Furthermore, _______% are priced at most $_______________. ¹
   The average mean price of a home for sale in ______ is $______ _________, and half of the homes for sale are priced under $_______________. The most prevalent price of a home is $_______ ________. ² Also it is worth noting that 25% of the advertised prices of homes for sale are under the price of $_____ ____________.
   In a random sample of homes advertised for sale in ______ on www.forsalebyowner.com , the most expensive home was only $____ __________ more than the lowest priced home, which means that those desiring a more pricey home can find one here. However, based upon the ____ _______________ ³ shape of the distribution of prices, there ______ ⁴ many pricey homes for sale in ___ * ___ . Further support of this is given by the coefficient of skewness, which is approximately __ _____, and thus implies that the ___ ⁵ skewness ___ _____ ⁶ significant. Moreover, the highest home price of $____ _________ contained in the homes sample is ____ __________ ⁷ , that it qualifies as an outlier. Albeit, it can be considered a ____ _____________ ⁸ high price for a home because although it ___ _________ ⁹ more than 1.5 times the interquartile range (IQR) above the third quartile it ___________ ⁹ more than 3 times the IQR above the seventy-fifth percentile of the prices. In fact, only 25% of the advertised home prices are above $______ ___________.
2. To answer the parts of this question, refer to the following sizes (in square feet) of homes that were collected in a random sample of homes for sale in Alaska: 5800, 2785, 1200, 3614, 1844, 2800, 2532, 1200, 3183, 2400

1. Construct a stem-and-leaf plot.
2. Compute the median size of a home.
3. Compute the mean size of a home.
4. Compute the standard deviation in the sizes of the homes.
5. Compute the range in the sizes of the homes

1. For parts a-d, fill the blanks with the best answer from those provided in the parentheses. For parts e-f, provide a short answer.

1. A construction company, that was only in business for 10 years, built a total of 83 homes. If data is collected from all 83 homes then we have a ____ _____________ (population, sample).
2. The colors of homes would be classified as _____ _________ (qualitative, quantitative) data.
3. The number of fireplaces in a home would be classified as a ____ __________ (continuous, discrete) random variable.
4. If a survey of licensed realtors is to be made by selecting every tenth realtor on a list of all licensed realtors in your state then the method of sampling is ________________ (convenience, cluster, simple random, stratified, systematic).
5. If homes for sale in your state were clustered by counties and then one of those counties was randomly selected and the advertized prices of all homes for sale in that county were collected as data, why might statistical conclusions about advertized prices throughout your state be considered invalid?
6. The material covered in Chapters 2 and 3 or our textbook is concerned with descriptive statistics or with inferential statistics? Which?
7. Percentiles divide a distribution of data into how many groups?

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Solution: The downloadable solution consists of 9 pages, 1656 words and 2 charts.
Deliverable: Word Document