Confidence Interval- a level C confidence interval for a model parameter is an interval of values of the form
Margin of Error- in a confidence interval the extent of the interval on either side of the observed statistic value is called the margin of error . Null hypothesis,- the claim assessed in a hypothesis test is called the null hypothesis usally the null hypotheses is a statement fo no change from the traditional value .
Alternative Hypothesis proposes what we should conclude if we find the null hypothesis to be unlikely Statistically significance, when the p value falls below the alpha level we say that the test is statistically significance at the alpha level
Alpha level, the threshold that determines when we reject a null hypothesis if we onserve a statistic whose p value based on the null hypothesis is less than a we reject that null hypothesis
Significance level – the alpha level is also called the significancelevel most often in a phrase such as a conclusionthat a particular test is significanceat the 5% significance level .
Type I error, the error of rejecting a null hypotheseswhen in fact it is true
Type II Error, the errror of failing to reject a null hypothesis when in fact it is false P-Value population the entire group of individuals or instances about whom we hope to learn population parameter sample a subset of a population examined in the hope of learning about the population sample statistic simple random sample -a sampling design I which the population is divided into sevral subpopulation or strata and random samples are then drawn from each stratum . If the strata are homogeneous but are different from each other a stratified sameple may yelidl more consisten results than an SRS statistically significant- when an observed difference is too large for us to believe that it is likely to have occurred natually we consider