11: estimating statistic and parameter

• How many areas of statistical inference are there

  Two
• What are the two areas of statistical inference

  Estimation of parameters and hypothesis
• Involves the estimation of unknown population values or parameters by the known sample values or statistics

  Estimation of parameters
• True or false: statistics therefore are used to estimate the unknown parameters

  True
• Estimation can be classified into two namely

  Point estimation and interval estimation
• An interval estimate of a parameter which consists of an interval of numbers of tained from a point estimate

  Confidence
• True or false: appoint estimate consists of a single value used to estimate population parameters

  True
• In this example what is the confidence coefficient or the degree of of confidence:

  A 90% confidence interval for the meaning income of teachers is 15,000 to 28,000

  90% or 0.90
• What do you call the endpoints 15, 000 and 28,000

  Lower and upper confidence limits
• True or false: in general, a 100% or 1 - a confidence interval can be constructed

  True
• What Greek letter is referred to as the level of significance

  Greek letter A or small a
• Fraction or 1 - a is called

  Confidence coefficient
• True or false: the interval estimator and closes the true value of the parameter

  True
• True or false: we always want to construct a confidence interval that is wide as possible and has a large confidence coefficient

  Narrow instead of wide
• True or false:The point estimator of mean is x

  True
• True or false: t is used only for big sample cases

  False, it is used for small sample cases
• In a binomial experiment, the point estimator of the population proportion p is

  p=X/n