Statistics

  Estimation & Hypothesis Estimation, in statistics , any of numerous procedures used to calculate the value of some property of a population from observations of a sample drawn from the population. ... An interval  estimate  defines a range within which the value of the property can be expected (with a specified degree of confidence) to fall. Examples of Estimation An  example  of  estimation  would be determining how many candies of a given size are in a glass jar. ... For  example , if one were asked to  estimate  the percentage of people who like candy, it would clearly be correct that the number falls between zero and one hundred percent. What are the types of estimation in statistics? There are two  types of estimates : point and interval. A point  estimate  is a value of a sample  statistic  that is used as a single  estimate  of a population parameter. Why do we use estimation? In real life,  estimation is  part of our everyday experience. ... For students,  estimating is  

                                                          Sampling & Sampling Distribution   Sampling Distribution of Sample Mean:   The  Sampling Distribution  of the  Sample Mean . If repeated random  samples  of a given size n are taken from a population of values for a quantitative variable, where the population  mean  is μ (mu) and the population standard deviation is σ (sigma) then the  mean  of all  sample means  (x-bars) is population  mean  μ (mu). Why is sampling distribution of the mean important? The  sampling distribution  of the  sample mean  is very useful because it can tell us the probability of getting any specific  mean  from a random  sample . ... Standard Error of the  Mean  One aspect we often use from the  sampling distribution  in inferential statistics is the standard error of the  mean  (noted as SE, or SEM). What is the mean of the sampling distribution of the sample mean quizlet? Sampling  Error is the error resulting from using a  sample  to estimate a