What I Know Identication. 1. The process of making inferences about a population based on information obtained from a sample. . It states that the sample mean xaapproximately follows the normal distribution with mean u and standard 2 4 6 7 8 9 d 't' 3: BVIaan {in . A range of values used to estimate the parameter. It can be calculated using two numbers or values which may or may not contain the value of the parameter being estimated. . This refers to the number of independent observations in the set of data, or the number of variables that are free to vary. . This distribution is ideally used when n s 30 and the standard deviation or variance of the entire population is unknown, or that the only standard deviation given is from the sample. . It represents a part of a whole and can be expressed as a percentage, decimal or fraction. . A single value used to approximate a population parameter. . The interval defined within the true population where members of the sample are expected to be found. . lt quanties the probabilities in which, a member of the sample would fall within a known interval of thetrue population. If mtg the allowable sampling error, the confidence level is equal to 1 - om 10.This distribution is ideally used when m; 2 30and the standard deviation or the variance of the entire is given. Determine the standard of error of the mean, the margin of error, and the confidence interval. Assume that all data are normally distributed. 1. In a survey, male and female student respondents are asked if they prefer to go to college or not. Find the 99% condence interval of the difference in the two proportions as shown in the table. Will go to coHege 100 125 Will not go to ooHege 150 75