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Consider a random sample of size 45 from a population with proportion 0.30 find the standard error of the distribution of sample proportions?
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The purpose and function of standard error of measurement?
the purpose and function of standard error of mean
Is the standard error of the sample mean assesses the uncertainty or error of estimation?
yes
Is the margin of error always greater than or equal to the standard of error?
Yes
How can reduce the percentage error?
The larger the sample, the lower the % error.. so to reduce a % error, increase your sample size.
How does sample size affect the size of your standard error?
The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.
Why does margin of error increases while level of confidence increases?
The margin of error increases as the level of confidence increases because the larger the expected proportion of intervals that will contain the parameter, the larger the margin of error.
Consider a random sample of size 45 from a population with proportion 0.30 find the standard error of the distribution of sample proportions?
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What is the standard error of the proportion of females if a random sample of 150 people was taken from a very large population and ninety of the people in the sample were females?
0.0016
Difference between standard error and sampling error?
Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.
In an opinion poll 25 percent of a random sample of 200 people said that they were strongly opposed to having a state lottery what is the standard error of the sample proportion?
It is 6.1, approx.
What is the relationship of the standard error of the mean to the standard error of the difference?
It would help to know the standard error of the difference between what elements.
What is the standard error for the following proportion sample size of 25 and 20 of the respondents said yes?
standard error for proportion is calculated as: SE = sqrt [(p)(1-p) / n ] so let us say that "p" is going to represent the decimal proportion of respondents who said YES.... so... p = 20/25 = 4/5 = 0.8 And... we then are going to say that the complement of "p" which is "1-p" is going to represent the decimal proportion of respondents who said NO ... so... 1-p = 1 - 0.8 = 0.2 Lastly, the "n" in the formula for standard error is equal to 25 because "n" represents the sample size.... So now all you have to do is plug the values you found for "p" and for "1-p"... (remember "p = 0.8" and "1-p = 0.2")... and "n=25".... Standard Error (SE) = sqrt [(p)(1-p) / n ] ............................ = sqrt [(0.8)(1-0.8) / 25 ] ............................ = sqrt [(0.8)(0.2) / 25 ] ............................ = sqrt [0.16 / 25] ............................ = sqrt (0.0064) ............................ = +/- 0.08
Is accuracy or precision related to standard error?
Standard error is a measure of precision.
Describe how the sample size affects the standard error?
Standard error (which is the standard deviation of the distribution of sample means), defined as σ/√n, n being the sample size, decreases as the sample size n increases. And vice-versa, as the sample size gets smaller, standard error goes up. The law of large numbers applies here, the larger the sample is, the better it will reflect that particular population.
Why is standard deviation of a statistic called standard error?
The standard error is the standard deviation divided by the square root of the sample size.
What happens to the standard error of the mean if the sample size is decreased?
The standard error increases.
