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True or False



This activity contains 10 questions.

Question 1.
The population mean is usually used to estimate the sample mean.


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Question 2.
If the population distribution is unknown, in most cases the sampling distribution of the mean can be approximated by the normal distribution if the sample size is large.


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Question 3.
As the sample size increases, the variation of the sample mean from the population mean becomes larger and larger.


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Question 4.
The central limit theorem ensures that the sampling distribution of the sample mean approaches normal as the sample size increases.


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Question 5.
The standard error of the mean is also known as the standard deviation of the sampling distribution of the sample mean.


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Question 6.
In inferential statistics, the standard error of the sample mean assesses the uncertainty or error of estimation.


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Question 7.
The larger the sample size, the larger the standard error of the sample proportion.


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Question 8.
The chi-square distribution is left-skewed and can take on values between - and +.


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Question 9.
The mean and variance of a chi-square distribution with ndegrees of freedom is determined by the number of degrees of freedom.


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Question 10.
The mean and variance of a chi-square distribution with n degrees of freedom is determined by the number of degrees of freedom.


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