Weighted Mean - HP 0012C-90001 User Manual

Example: Compute the slope and intercept of the regression line in the preceding Example: Example: Example:
example.
Keystrokes Keystrokes Keystrokes Keystrokes
0gR
1gR~d~-
The equation that describes the regression line is:

Weighted Mean

Weighted Mean
Weighted Mean Weighted Mean
You can compute the weighted mean of a set of numbers if you know the
corresponding weights of the items in question.
1. Press fCLEAR².
2. Key in the value of the item and press \, then key in its weight and press
_. Key in the second item's value, press \, key in the second weight,
and press _. Continue until you have entered all the values of the items and
their corresponding weights. The rule for entering the data is "item \
weight _."
3. Press gh to calculate the weighted mean of the items.
Example: Suppose that you stop during a vacation drive to purchase gasoline at Example:
Example: Example:
four stations as follows: 15 gallons at $1.16 per gallon, 7 gallons at $1.24 per
gallon, 10 gallons at $1.20 per gallon, and 17 gallons at $1.18 per gallon. You
want to find the average cost per gallon of gasoline purchased. If you purchased
the same quantity at each station, you could determine the simple arithmetic
average or mean using the Ö key. But since you know the value of the item
(gasoline) and its corresponding weight (number of gallons purchased), use the h
key to find the weighted mean:
Keystrokes Keystrokes Keystrokes Keystrokes
fCLEAR²
1.16\15_
1.24\7_
1.20\10_
1.18\17_
Section 6: Statistics Functions Section 6:
Section 6: Section 6:
Display Display Display Display
15.55
y-intercept (A); projected value for
= 0.
0.001
Slope of the line (
change in the projected values
caused by an incremental change in
the
y = 15.55 + 0.001x
Display Display Display Display
0.00
Clears statistics registers.
1.00
First item and weight.
2.00
Second item and weight.
3.00
Third item and weight.
4.00
Fourth item and weight.
Statistics Functions
Statistics Functions Statistics Functions
B);
indicates the
x
value.
81 81
81 81
x