Question

Assume for a moment that we have a population distribution that is negatively skewed. Which probability distribution becomes normal as the size of the sample increases?

population distribution

sample distribution

sampling distribution

None of the above

The standard error of the mean refers to the standard deviation of the...

normal distribution

population

sample

sampling distribution

None of the above

Which type of error can be quantitatively measured:

sampling error

non-sampling error

both

neither

The purpose of statistical inference is to provide information about the

sample based upon information contained in the population

population based upon information contained in the sample

mean of th sample based upon the mean of the population

population based upon information contained in the population

The closer the sample mean is to the population mean,

the larger the sampling error

the smaller the sampling error

the sampling error equals 1

none of these alternatives is correct

For a uniform probability density function,

the height of the function cannot be larger than one

the height of the function is the same for each value of x

the height of the function is different for various values of x

the height of the function decreases as x increases

In a standard normal distribution, the

mean and the standard deviation are both 1

mean is 1 and the standard deviation is 0

mean is 0 and the standard deviation is 1

mean and standard deviation can have any value

The highest point of a normal curve occurs at

one standard deviation to the right of the mean

two standard deviation to the right of the mean

three standard deviation to the right of the mean

the mean

Answer 1

Assume for a moment that we have a population distribution that is negatively skewed. Which probability distribution becomes normal as the size of the sample increases?
Answer: Sampling distribution

The standard error of the mean refers to the standard deviation of the...
Answer: sampling distribution

Which type of error can be quantitatively measured:
Sampling Error

The purpose of statistical inference is to provide information about the
Answer:population based upon information contained in the sample

The closer the sample mean is to the population mean,
Answer: the smaller the sampling error

For a uniform probability density function,
Answer: the height of the function is the same for each value of x

In a standard normal distribution, the
Answer: mean is 0 and the standard deviation is 1

The highest point of a normal curve occurs at
Answer: the mean