Question
The following distribution gives the top speeds (in kilometers per hour)
at which thirty races were clocked in auto race.
| Top speed | 145 | 150 | 160 | 170 |
| No. of racers | 9 | 8 | 11 | 2 |
Find the mean and variance of the distribution of the top speeds.
Answer :
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Skip in 10
To find the mean and variance of the distribution of top speeds, we need to apply the formulas for the mean (\(\mu\)) and variance (\(\sigma^2\)) of a discrete probability distribution. ### Step 1: List of data from the table - Top speeds (x): 145 km/h, 150 km/h, 160 km/h, 170 km/h - Number of racers (f): 9, 8, 11, 2 ### Step 2: Calculate the mean (\(\mu\)) The formula for the mean is: \[ \mu = \frac{\sum{(f_i \cdot x_i)}}{\sum{f_i}} \] Where \(f_i\) is the frequency (number of racers) and \(x_i\) is the top speed. Now, let's compute: \[ \sum{(f_i \cdot x_i)} = (9 \cdot 145) + (8 \cdot 150) + (11 \cdot 160) + (2 \cdot 170) \] \[ = 1305 + 1200 + 1760 + 340 = 4605 \] And the total number of
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