Example 1 – Constructing a frequency distribution table
Divide the results (x) into intervals, and then count the number of results in each interval. ...
Make a table with separate columns for the interval numbers (the number of cars per household), the tallied results, and the frequency of results in each interval.
Answer:
Step-by-step explanation:
The given data is
42 40 39 31 22 18 15 12 11.7 10.5
Range = 42 - 10.5 = 31.5
Mean = (42 + 40 + 39 + 31 + 22 + 18 + 15 + 12 + 11.7 + 10.5)/10 = 24.12
n = 10
Variance = Summation(x - mean)²/n
Summation(x - mean)² = (42 - 24.12)^2 + (40 - 24.12)^2 + (39 - 24.12)^2 + (31 - 24.12)^2 + (22 - 24.12)^2 + (18 - 24.12)^2 + (15 - 24.12)^2 + (12 - 24.12)^2 + (11.7 - 24.12)^2 + (10.5 - 24.12)^2 = 1452.396
Variance = 1452.396/10 = 145.2396
Standard deviation = √(summation(x - mean)²/n
Standard deviation = √(145.2396
Standard deviation = 12.1
The standard deviation of the sample is not a good estimate of the variation of the salaries of the TV personalities in general because
B. No, because the sample is not representative of the whole population.
notice, the "common ratio" is -3, thus their sum is just
1 + (-3) + 9 + (-27) + 81.
Answer and explanation:
multiply the - into 
Now add, or subtract, everything together.
Answer
x+2