Job Rating Metro Area Index 1 Austin-Round Rock-San Marcos, TX 89.1 2 New Orleans-Metairie-Kenner, LA 88.9 3 Houston-Sugar Land-Baytown, TX 82.1 4 San Antonio-New Braunfels, TX 80.7 5 Dallas-Plano-Irving, TX Metropolitan Division 80.6 6 Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Division 7 Northern Virginia, VA 74.1 73.8 8 Nashville-Davidson-Murfreesboro- Franklin, TN 73.1 9 New York City, NY 72.6 10 Philadelphia City, PA 71.9 11 Pittsburgh, PA 71.7 12 Bethesda-Rockville-Frederick, MD Metropolitan Division 13 Boston-Cambridge-Quincy, MA NECTA Division 70.7 70.4 14 Raleigh-Cary, NC 15 Fort Worth-Arlington, TX Metropolitan 67.8 Division 67.8 16 Rochester, NY 66.7 17 Nassau-Suffolk, NY Metropolitan Division 65.5 18 Buffalo-Niagara Falls, NY 64.7 19 Columbus, OH 64.3 20 Salt Lake City, UT 64.2
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Boomtowns 2011 In 2011, the website NewGeography
.com listed its ranking of the best cities for job growth in
the United States. Here are the magazine’s top 20 larger
cites, along with their weighted job rating indices.Make a suitable display of the job rating indices.
b) Summarize the typical job rating index among
these cities with a
they differ?
c) Given what you know about the distribution, which of
the measures in b) does the better job of summarizing
the job rating indices? Why?
d) Summarize the spread of the job rating indices
distribution with a standard deviation and with
an IQR.
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