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Point Estimators for Different Situations

As we have seen before, we have several natural point estimates for the various situations we will consider:

  1. For one sample from a continuous population, we use tex2html_wrap_inline2643 to estimate tex2html_wrap_inline2651 and tex2html_wrap_inline2669 to estimate tex2html_wrap_inline2693 .
  2. For independent samples from continuous populations, we use tex2html_wrap_inline3963 to estimate the difference tex2html_wrap_inline3965 and tex2html_wrap_inline3967 to estimate tex2html_wrap_inline3969 . If we know that the variances of the two populations are the same, that is, tex2html_wrap_inline3971 , say, then we use the pooled estimate of variance,

    displaymath3973

    to estimate tex2html_wrap_inline2693 .

  3. For paired data, we use the mean, tex2html_wrap_inline3977 , and variance, tex2html_wrap_inline3979 of the n differences tex2html_wrap_inline3983 in the pairs to estimate the mean and variance of the population of differences.
  4. For one sample from a 0-1 population we use the sample proportion p to estimate the population proportion tex2html_wrap_inline2703 , while for two independent samples we use tex2html_wrap_inline3989 to estimate tex2html_wrap_inline3991 .
  5. In the correlation setting, we use the sample correlation coefficient r to estimate the population correlation coefficient tex2html_wrap_inline2879 and the slope and the intercept of the least squares line to estimate the slope and intercept of the true population line.


Jan Lethen
Wed Nov 13 16:20:46 CST 1996