Chapter 6 - Sampling and Populations Worksheet

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Across
  1. 2. How certain we are that a confidence interval includes the true population mean (proportion).
  2. 3. A nonrandom sampling method whereby the researcher includes the mose convenient cases in his or her sample.
  3. 14. A random sampling method whereby a table of random numbers is employed to select a sample that is representative of a larger population.
  4. 15. An estimate of the standard deviation of the sampling distribution of means based on the standard deviation of a single random sample.
  5. 17. A smaller number of individuals taken from some population (for the purpose of generalizing to the entire population from which it was taken).
  6. 18. A random sampling method whereby the population is first divided into homogeneous subgroups from which simple random samples are then drawn.
  7. 19. The extent of imprecision expected when estimating the population mean or proportion.
  8. 20. A nonrandom sampling method whereby logic, common sense, or sound judgement is used to select a sample that is presumed representative of a larger population.
Down
  1. 1. A random sampling method whereby every nth member of a population is included in the sample.
  2. 4. The range of mean values (proportions) within which the true population mean (proportion) is likely to fall.
  3. 5. The range of mean values (proportions) within which there are 95 chances out of 100 that the true population mean (proportion) will fall.
  4. 6. The range of mean values (proportions) within which there are 99 chances out of 100 that the true population mean (proportion) will fall.
  5. 7. In small sample comparisons, a statistical compsensation for the failure of the sampling distribution of differences to assume the shape of the normal curve. Written as df.
  6. 8. A type of probability function that is appropriate for estimating population parameters for small sample sizes or unknown variances.
  7. 9. A sampling method whereby each population member does not have an equal chance of being drawn into the sample.
  8. 10. Any set of individuals who share at least one characteristic.
  9. 11. The probability of commiting a Type I error.
  10. 12. A nonrandom sampling method whereby diverse characteristics of a population are sampled in the proportions they occupy in the population.
  11. 13. A sampling method whereby every population member has an equal chance of being drawn into the sample.
  12. 16. A random sampling method whereby members are selected on a random basis form a number of well-delineated areas known as clusters (or primary sampling units).