Statistical Calculations
121
The standard deviations calculated by \h and \h\« are the sample
standard deviations. They assume that the data is a sampling of a larger, complete set of data.
If the data constitutes the entire population, the true population standard deviations can be
calculated by pressing \e and \e\«.
Example 3
The coach has four new players on the team with heights of 193, 182, 177, and 185
centimeters and weights of 90, 81, 83, and 77 kilograms. Find the mean and population
standard deviation of both their heights and weights, then sum the y-data.
Linear Regression, Estimation, and Regression Modes
Linear regression is a statistical method for estimation and forecasting. It is used to find a
straight line that best fits a set of x,y data. There must be at least two different x,y pairs. The
straight line provides a relationship between the x- and y-variables: y = mx + b, where m is the
slope and b is the y-intercept.
Table 12-8 Example 3
Keys Display Description
\t
STAT CLR
(message flashes briefly,
then disappears)
Clears statistics memory.
JdDÆd:¡
1.00 Enters height and weight of
player 1.
JgGÆgJ¡
2.00 Enters height and weight of
player 2.
JjjÆgD¡
3.00 Enters height and weight of
player 3.
JgVÆjj¡
4.00 Enters height and weight of
player 4.
\k
184.25 Calculates mean of heights (x).
\«
82.75 Displays mean of weights (y).
\e
5.80 Calculates population standard
deviation for heights (x).
\«
4.71 Displays population standard
deviation for weights (y).
]U
331.00 Displays the total of the y -values.
To Next Page
Loading...
