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What is the variance of the data set of 18 14 10 9 5?
- 4
Explain how to find the range of set of data?
The range = the difference between the highest and the lowest values in the data set. For example if I had a data set like this: 10, 20, 30, 40, 50 50 is the highest number and 10 is the lowest number. 50-10= 40. 40= the range of the above data set.
If the sample mean is 10 the hypothesized population mean is 9 and the population standard deviation is 4 compute the test value needed for the z test?
n = sample sizen1 = sample 1 sizen2 = sample 2 size= sample meanμ0 = hypothesized population meanμ1 = population 1 meanμ2 = population 2 meanσ = population standard deviationσ2 = population variance
A fair coin is tossed 10 times what are the expected mean and variance of the number of heads?
mean = 5, variance = 5
How do you convert variance of 100 to standard deviation?
Standard Deviation = (principal value of) the square root of Variance. So SD = 10.
What is the variance of this data set 10 8 8 6 5?
The variance is: 3.8
The mean is 10 What is the variance of the data set 4 9 9 13?
The variance is 13.5833
What is the variance of the data set of 18 14 10 9 5?
- 4
What is the variance of data set 12 10 9 7 7?
For 12 10 9 7 7: var=4.5
What is the variance of these set of numbers 10 30 40 50 70?
The variance is: 500.0
What is the sample variance and the estimated standard error for a sample of n 4 scores with SS 300?
The sample variance is obtained by dividing SS by the degrees of freedom (n-1). In this case, the sample variance is SS/(n-1) = 300/(4-1) = 300/3 = 100 In order to get the standard error, you can do one of two things: a) divide the variance by n and get the square root of the result: square.root (100/4) = square.root(25) = 5, or b) get the standard deviation and divide it by the square root of n. 10/square.root(4) = 10/2 = 5
Would one expect more variance with a larger sample size in a chi distribution?
The larger your sample size, the less variance there will be. For instance, your information is going to be much more substantial if you took 1000 samples over 10 samples.
If the Mean equals 100 variance equals 40 and sample size equals 10 what is the standard deviation?
6.3
What is the variance of 10 12 8 14 6?
The variance is 10.
How do you find the variance 415 10 8 33 25 36 66 63 50 64 49 40?
First mean is calculated.Then calculate deviations from the mean.Then the deviations are squared.Then the squared deviations are summed up.Finally this sum is divided by number of items for which the variance is being calculated. For a population, it is by the number of values, in this case 12. If it is a sample, then we divide by one less, which is 11,For these figures, the variance for the population is 11069.24306. If it is a sample, it is 12075.53788 as the result.
What is the variance of the numbers 1 7 10 and 3?
The variance of the numbers 1 7 10 and 3 is: 16.25
Compute the variance and standard deviation of the following sample data:5 9 10 2 7 9 14?
mean =(5+9+10+2+7+9+14)/7=8 s^2 = Variance = (1/7){(5-8)^2+(9-8)^2+(10-8)^2+(2-6)^2+(7-8)^2+(9-8)^2+(14-8)^2}=14.6666 Standard deviation =s= sqrt(14.6666)=3.8297
