a)#Given
=20 =4 n=32
mean μx̅= | 20 |
sampling variance σ2x̅=σ2/n=42/32=0.5
std error=σx̅=σ/√n= | 0.7071 |
#
μx̅ | 20 |
σ2x̅ | 0.5 |
σx̅ | 0.7071 |
b)=557 =0.5 n=138
mean μx= | 557 |
sampling variance σx̅2=σ2/n=0.0018
std error=σx̅=σ/√n= | 0.0426 |
#
μx̅ | 557 |
σ2x̅ | 0.0018 |
σx̅ | 0.0426 |
c)=7 =0.1 n=6
mean μx= | 7 |
sampling variance σx̅2=σ2/n=0.0017
std error=σx̅=σ/√n= | 0.0408 |
#
μx̅ | 7 |
σ2x̅ | 0.0017 |
σx̅ | 0.0408 |
d)=86 =8 n=1611
mean μ= | 86 |
sampling variance σx̅2=σ2/n=0.0397
std error=σx̅=σ/√n= | 0.1993 |
#
μx̅ | 86 |
σ2x̅ | 0.0397 |
σx̅ | 0.1993 |
Suppose that we will take a random sample of size n from a population having mean...
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Suppose that a random sample of size 64 is to be selected from a population with mean 40 and standard deviation 5. (Use a table or technology.) (a) What are the mean and standard deviation of the x sampling distribution? Describe the shape of the x sampling distribution. The shape of sampling distribution is-Select- (b) What is the approximate probability that will be within 0.5 of the population mean? (Round your answer to four decimal places.) (c) What is the...
A random sample of size 137 was taken from a population with a population mean 25 and a population standard deviation 5. Determine each of the following about the sampling distribution of the sample mean. Round your answer to at least 3 decimal places where appropriate. a) μx_= b) σx_= c) Can we conclude that the sampling distribution of the sample mean is approximately normal? YesNoClick for List