In: Statistics and Probability
A random variable is normally distributed. It has a mean of 225
and a standard deviation...
A random variable is normally distributed. It has a mean of 225
and a standard deviation of 26.
If you take a sample of size 11, can you say what the shape of
the sampling distribution for the sample mean is? Why?
- If the sample size is 11, then you can't say anything about the
sampling distribution of the sample mean, since the population of
the random variable is not normally distributed and the sample size
is less than 30.
- If the sample size is 11, then you can say the sampling
distribution of the sample mean is normally distributed since the
variable is normally distributed.
- If the sample size is 11, then you can say the sampling
distribution of the sample mean is not normally distributed since
the sample size is less than 30.
For a sample of size 11, state the mean of the sample mean and
the standard deviation of the sample mean. Round to two decimal
places if necessary.
μx̄ =
σx̄ =
For a sample of size 11, find the probability that the sample
mean is more than 223.
P(x̄ > 223) =
If you take a sample of size 36, can you say what the shape of
the distribution of the sample mean is? Why?
- If the sample size is 36, then you can say the sampling
distribution of the sample mean is not normally distributed since
the sample size is greater than 30.
- If the sample size is 36, then you can say the sampling
distribution of the sample mean is normally distributed since the
variable is normally distributed.
- If the sample size is 36, then you can't say anything about the
sampling distribution of the sample mean, since the population of
the random variable is not normally distributed and the sample size
is greater than 30.
For a sample of size 36, state the mean of the sample mean and
the standard deviation of the sample mean. Round to two decimal
places if necessary.
μx̄ =
σx̄ =
For a sample of size 36, find the probability that the sample
mean is more than 223.P(x̄ > 223) =