Statistics
% t v
% t displays a menu with the following options:
| • | 1-Var Stats analyzes data from 1 data set with 1 measured variable, x. |
| • | 2-Var Stats analyzes paired data from 2 data sets with 2 measured variables—x, the independent variable, and y, the dependent variable. |
| • | StatVars displays a secondary menu of statistical variables. The StatVars menu only appears after you have calculated 1-Var or 2-Var stats. Use $ and # to locate the desired variable, and press < to select it. |
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Variables |
Definition |
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n |
Number of x or (x,y) data points. |
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Ï or Ð |
Mean of all x or y values. |
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Sx or Sy |
Sample standard deviation of x or y. |
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Îx or Îy |
Population standard deviation of x or y. |
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Sum of all x or y values. |
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Sum of all x2 or y2 values. |
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Sum of (x…y) for all xy pairs. |
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a |
Linear regression slope. |
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b |
Linear regression y-intercept. |
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r |
Correlation coefficient. |
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x' (2-Var) |
Uses a and b to calculate predicted x value when you input a y value. |
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y' (2-Var) |
Uses a and b to calculate predicted y value when you input an x value. |
To define statistical data points:
| 1. | Enter data in L1, L2, or L3. (See Data Editor and List Conversions.) |
| 2. | Press % t. Select 1-Var or 2-Var and press <. |
| 3. | Select L1, L2, or L3, and the frequency. |
| 4. | Press < to display the menu of variables. |
| 5. | To clear data, press v v, select a list to clear, and press <. |
Examples
1-Var: Find the mean of {45,55,55,55}
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Clear all data |
v v $ $ $ |
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Data |
< 45 $ 55 $ 55 $ 55 < |
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Stat |
% t |
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1 $ $ |
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< |
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Stat Var |
% s % t 3 |
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2 < |
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V 2 < |
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2-Var: Data: (45,30), (55,25); Find: x '(45)
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Clear all data |
v v $ $ $ |
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Data |
< 45 $ 55 $ " 30 $ 25 $ |
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Stat |
% t (Your screen may not show 3:StatVars if you did not previously perform a calculation.) |
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2 $ $ |
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< |
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% s % t 3 # # |
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< 45 E < |
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³ Problem
For her last four exams, Ada earned the following scores.
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Test No. |
1 |
2 |
3 |
4 |
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Score |
73 |
94 |
85 |
78 |
| 1. | Find Ada’s average grade on the four exams. |
| 2. | Ada found an error in the two of her test scores. Test 2 was changed to 88 and Test 4 was changed to 84. Find Ada's new average grade of the four exams. |
| 3. | What do you notice about Ada's average grades before the point change and after the point change? |
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Clear all data |
v v 4 |
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Data |
73 $ 94 $ 85 $ 78 $ |
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% t |
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1 $ $ < The average grade is 82.5. |
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v $ 88 $ $ 84 $ |
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% t 1 |
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$ $ < The new average grade is 82.5. |
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Ada's average did not change. It remained 82.5 after the grade corrections.
The reason the average did not change is that Test 2 had a decrease of 6 points while Test 4 had an increase of 6 points. Overall, the total points for all four tests remained the same (330 points).
³ Problem
The table below gives the results of a braking test.
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Test No. |
1 |
2 |
3 |
4 |
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Speed (kph) |
33 |
49 |
65 |
79 |
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Distance (m) |
5.30 |
14.45 |
20.21 |
38.45 |
Using the relationship between these data points, estimate the stopping distance required for a vehicle traveling at 55 kph.
A hand-drawn scatter plot of these data points suggest a linear relationship. The TI-34 MultiView™ calculator uses the least squares method to find the line of best fit, y'=ax'+b, for data entered in lists.
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v v 4 |
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33 $ 49 $ 65 $ 79 $ " 5.3 $ 14.45 $ 20.21 $ 38.45 $ |
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% t |
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2 $ $ |
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< |
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Press $ to view a and b. |
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This line of best fit, y ' = 0.6773251896x '-18.66637321 models the linear trend of the data.
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% s % t 3 # |
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< 55 E < |
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The linear model gives an estimated braking distance of 18.59 meters for a vehicle traveling at 55 kph.