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What does the standard error mean?
For a sample of data it is a measure of the spread of the observations about their mean value.
Which statistic estimates the error in a regression solution?
The mean sum of squares due to error: this is the sum of the squares of the differences between the observed values and the predicted values divided by the number of observations.
Difference between calculating the sample mean and the population mean?
The same basic formula is used to calculate the sample or population mean. The sample mean is x bar and the population mean is mu. Add all the values in the sample or population and divide by the number of data values.
The difference between sample mean and population mean is called the?
Sampling Error
How much error is expected between the sample mean and population mean?
0. The expected value of the sample mean is the population mean, so the expected value of the difference is 0.
What does the standard error mean?
For a sample of data it is a measure of the spread of the observations about their mean value.
A sample of 24 observations is taken from a population that has 150 elements The sampling distribution of the mean is?
A sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is
SUPPOSE WE study the CONTINUOUS VARIABLE: "REPAIR TIME of A machine, in MINUTES". where the POPULATION average IS 135MIN. A SAMPLE of 20 OBSERVATIONS of THAT VARIABLE IS TAKEN. IS possible for the SAMPLE MEAN TO BE EXACTLY EQUAL TO 135MIN?
Yes, it is possible for the sample mean to be exactly equal to 135 minutes. This is because the sample mean is calculated by dividing the sum of all the observations by the number of observations. Therefore, if the sum of all the observations is exactly equal to 2700 minutes (135 times 20), the sample mean would be 135 minutes. However, this is highly unlikely to happen.
What is the value of the standard error of the sample mean?
The sample standard deviation (s) divided by the square root of the number of observations in the sample (n).
What are the differences between a two sample t-test and ANOVA hypothesis testing?
In ANOVA, what does F=1 mean? What are the differences between a two sample t-test and ANOVA hypothesis testing? When would you use ANOVA at your place of employment, in your education, or in politics?
What is the proof of sample variance and how is it derived?
The proof of sample variance involves calculating the sum of squared differences between each data point and the sample mean, dividing by the number of data points minus one, and taking the square root. This formula is derived from the definition of variance as the average of the squared differences from the mean.
A simple random sample of 64 observations was taken from a large population The sample mean and the standard deviation were determined to be 320 and 120 respectively The standard error of the mean you?
15
Why do you divide by instead of when calculating the sample variance?
Usually the sum of squared deviations from the mean is divided by n-1, where n is the number of observations in the sample.
How do you compute the point estimate of a population mean?
To compute the point estimate of a population mean, you take the sample mean. This is done by calculating the average of the data values in the sample. The sample mean is then used as an estimate of the population mean.
As the sample size increase the difference between the sample mean and the population mean approaches what?
Zero
What is the difference between calculating the sample mean and the population mean?
You calculate the actual sample mean, and from that number, you then estimate the probable mean (or the range) of the population from which that sample was drawn.
How do you find the degrees of freedom when using the t distribution to estimate or test the mean of a sample from a single population?
If the sample consisted of n observations, then the degrees of freedom is (n-1).
