Relax! A recent survey asked 1678 people how many hours per day they were able to relax. The results are presented in the following table. Number of Hours Frequency 0 112 1 185 2 337 3 254 4 318 5 230 6 150 7 30 8 62 Total 1678 Consider these 1678 people to be a population. Let X be the number of hours of relaxation for a person sampled at random from this population. (a) Compute the mean ux. Round the answer to two decimal places. (b) Compute the standard deviation ox. Round the answer to three decimal places.
Relax! A recent survey asked 1678 people how many hours per day they were able to relax. The results are presented in the following table. Number of Hours Frequency 0 112 1 185 2 337 3 254 4 318 5 230 6 150 7 30 8 62 Total 1678 Consider these 1678 people to be a population. Let X be the number of hours of relaxation for a person sampled at random from this population. (a) Compute the mean ux. Round the answer to two decimal places. (b) Compute the standard deviation ox. Round the answer to three decimal places.
Relax! A recent survey asked 1678 people how many hours per day they were able to relax. The results are presented in the following table. Number of Hours Frequency 0 112 1 185 2 337 3 254 4 318 5 230 6 150 7 30 8 62 Total 1678 Consider these 1678 people to be a population. Let X be the number of hours of relaxation for a person sampled at random from this population. (a) Compute the mean ux. Round the answer to two decimal places. (b) Compute the standard deviation ox. Round the answer to three decimal places.
people how many hours per day they were able to relax. The results are presented in the following table.
Number of Hours
Frequency
0
112
1
185
2
337
3
254
4
318
5
230
6
150
7
30
8
62
Total
1678
Consider these 1678 people to be a population. Let
X
be the number of hours of relaxation for a person sampled at random from this population.
(a) Compute the mean ux. Round the answer to two decimal places.
(b) Compute the standard deviation ox. Round the answer to three decimal places.
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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