Intro to Stats 3 Questions and Answers 2024
The mean for the distribution of the sample is always equal to the mean for the population from
which the samples are obtained *** True
If samples are selected from a normal population, the distribution of the sample means will also
be normal *** True
According to the central limit theorem, the standard error for a sample mean becomes smaller as
the sample size increases *** True
As the population standard deviation increases, the standard error will also increase *** True
On average, a sample n=16 scores from a population with σ=10 will provide a better estimate of
the population mean than you would get with a sample n=16 scores from a population with σ=5
*** False
A sample of n=25 scores is selected from a population with µ=70 and σ=20. It is very unlikely
that the sample mean will be greater than 72 *** False
If the sample size is doubled, the standard error will be cut in half *** False
If the sample size is increased, then the standard error for the sample means will also increase
*** False
On average, a sample of n=16 scores will provide a better estimate of the population mean than
you would get with a sample n=9 scores from the same population *** True
A population has µ=60 and σ=30. For a sample of n=25 scores from this population, a sample
mean of M=55 would be considered an extreme value *** False
The mean for the distribution of the sample is always equal to the mean for the population from
which the samples are obtained *** True
If samples are selected from a normal population, the distribution of the sample means will also
be normal *** True
According to the central limit theorem, the standard error for a sample mean becomes smaller as
the sample size increases *** True
As the population standard deviation increases, the standard error will also increase *** True
On average, a sample n=16 scores from a population with σ=10 will provide a better estimate of
the population mean than you would get with a sample n=16 scores from a population with σ=5
*** False
A sample of n=25 scores is selected from a population with µ=70 and σ=20. It is very unlikely
that the sample mean will be greater than 72 *** False
If the sample size is doubled, the standard error will be cut in half *** False
If the sample size is increased, then the standard error for the sample means will also increase
*** False
On average, a sample of n=16 scores will provide a better estimate of the population mean than
you would get with a sample n=9 scores from the same population *** True
A population has µ=60 and σ=30. For a sample of n=25 scores from this population, a sample
mean of M=55 would be considered an extreme value *** False
