Define: Population, sample, parameter, statistic, inference

Related BrainMass Solutions

• Populations and samples used in research

  Why would you use a small sample to draw inference about a large population? 2. What is the difference between a sample parameter (X-bar and s) and a proportion parameter (ρ)? 3.

• Population & Sample Size Questions

  Why would you use a small sample to draw inference about a large population?

• Descriptive statistics: 18 multiple choice questions

  Statistic, because the data of 42 people in a dining hall is a sample. E. Parameter, because the data set of all people in the dining hall is a population. F. Statistic, because the data set of all people in the dining hall is a population. G.

• Theoretical statistical sampling situation

  We can, however, estimate the population parameter with a sample statistic, the mean of the 64 widgets in our daily sample (sample statistic = sample mean). c.

• Confidence interval

  One of the ways we can make an inference about a population is to select a sample from that population and estimate one of the characteristics of the population by with a confidence interval calculated from the data in the sample.

• Variables, Sample, and Population

  Identify the population b. Identify the sample 2. Define the terms population, sample, parameter, and statistic. Explain the relationships among the terms 3.

• Multiple choice questions on statistics

  An inference made about the population based on the sample. b. The population or sample of interest. c. Tables, graphs, or numerical summary tools. d. Identification of patterns in the data. 4.

• What do confidence intervals represent?

  level) of the intervals will include the unknown population parameter .

• Sampling methods, inferential statistics and coverage error

  A summary measure calculated from some of the items of interest is a statistic. D.