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ESTIMATION OF THE MEAN

ESTIMATION OF THE MEAN. INTRO :: ESTIMATION. Definition The assignment of plausible value(s) to a population parameter based on a value of a sample statistic is called estimation. INTRO :: ESTIMATION. The sample statistic used to estimate a population parameter is called estimator .

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ESTIMATION OF THE MEAN

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  1. ESTIMATION OF THE MEAN

  2. INTRO :: ESTIMATION • Definition • The assignment of plausible value(s) to a population parameter based on a value of a sample statistic is called estimation.

  3. INTRO :: ESTIMATION • The sample statistic used to estimate a population parameter is called estimator. • Examples … • sample mean estimator population mean • …

  4. INTRO :: ESTIMATION The estimation procedure involves … • Select a sample. • Collect the required information from the members of the sample. • Calculate the value of the sample statistic. • Assign plausible value(s) to the corresponding population parameter.

  5. POINT ESTIMATES & INTERVAL ESTIMATES • A Point Estimate • An Interval Estimate

  6. A Point Estimate • Definition • The value of a sample statistic that is used to estimate a population parameter is called a point estimate.

  7. INTERVAL ESTIMATES • Usually, whenever we use point estimation, we calculate the margin of error associated with that point estimation. Point Estimate w/out M.E. not very useful!!!!

  8. Interval Estimates • Definition • In interval estimation, an interval is constructed around the point estimate, and it is stated that this interval is likely to contain the corresponding population parameter. Gives a range of plausible values for the parameter of interest.

  9. Interval estimation. $1130 $1610

  10. Interval Estimates • Definition • Each interval is constructed with regard to a given confidence level and is called a confidence interval. The confidence level associated with a confidence interval states how much confidence we have that this interval contains the true population parameter. The confidence level is denoted by (1 – α)100%.

  11. INTERVAL ESTIMATION OF A POPULATION MEAN: • Confidence Interval for μ w/ Large Sample • The (1 – α)100% confidence interval for μ is • The value of z used here is read from the standard normal distribution table for the given confidence level.

  12. Finding z for a 95% confidence level. Total shaded area is .9500 or 95% μ x -1.96 0 1.96 z

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