SOLUTION: Hello, need some help w/these few. Thanks again, you are awesome! T F 1. An estimate of the population mean based on a large sample is less reliable than an estimate made using

Question 138677: Hello, need some help w/these few. Thanks again, you are awesome!
T F 1. An estimate of the population mean based on a large sample is less reliable than an estimate made using a small sample.
T F 2. The standard error of the mean will vary according to the size of the sample. As the sample size gets larger, the variability of the sample means gets smaller.
T F 3. One misconception about the number to sample is that a larger sample of voters must be selected from a heavily populated state, such as New York, than from a small state such as Nevada.
T F 4. If nonprobability sampling methods are used, the results may be biased.
T F 5. The Central Limit Theorem states that if all samples of a particular size are selected from any population, the sampling distribution of the sample means is approximately a normal distribution.
T F 6. If the size of a sample equals the size of the population, we would not expect any error in estimating the population parameter.

Answer by stanbon(75887) (Show Source): You can put this solution on YOUR website!
T F 1. An estimate of the population mean based on a large sample is less reliable than an estimate made using a small sample.
False
--------------------
T F 2. The standard error of the mean will vary according to the size of the sample. As the sample size gets larger, the variability of the sample means gets smaller.
True because standard deviation and sample size are inversely related.
--------------------
T F 3. One misconception about the number to sample is that a larger sample of voters must be selected from a heavily populated state, such as New York, than from a small state such as Nevada.
True it has nothing to do with population size.
---------------

T F 4. If nonprobability sampling methods are used, the results may be biased.
What do you mean be nonprobability sampling?
----------------
T F 5. The Central Limit Theorem states that if all samples of a particular size are selected from any population, the sampling distribution of the sample means is approximately a normal distribution.
True
------------------
T F 6. If the size of a sample equals the size of the population, we would not expect any error in estimating the population parameter.
True
--------------------
Cheers,
Stan H.

RELATED QUESTIONS
An estimate of the population mean based on a large sample is less reliable than an... (answered by stanbon)

Hi, I need some help with these few problems. Thanks, 1. Suppose 1,600 of 2,000... (answered by stanbon)

You want to obtain a sample to estimate a population mean. Based on previous evidence,... (answered by Boreal)

You want to obtain a sample to estimate a population mean. Based on previous evidence,... (answered by Theo)

You want to obtain a sample to estimate a population mean. Based on previous evidence,... (answered by ewatrrr)

You want to obtain a sample to estimate a population mean. Based on previous evidence,... (answered by math_tutor2020)

Hello, I would like to know, if possible can you please explain to me how these algebra... (answered by stanbon,nerdybill)

You want to obtain a sample to estimate a population mean. Based on previous evidence,... (answered by Boreal)