QMS 202 Midterm: QMS202 Crib Sheet Test 1

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 202
• Professor: Nursel Ruzgar

Document Summary

Bell-shaped; symmetrical; mean, median, and mode are equal. The z distribution always has a mean = 0 and a standard deviation = 0. A sampling distribution is a distribution of all of the possible values of a sample statistic for a given size sample selected from a population. Assumes that sampling is with replacement or sampling is without replacement from an infinite population. Note that the standard error of the mean decreases as the sample size increases. If a populatio(cid:374) is (cid:374)o(cid:396)(cid:373)al (cid:449)ith (cid:373)ea(cid:374) a(cid:374)d sta(cid:374)da(cid:396)d de(cid:448)iatio(cid:374) , the sampling distribution of is also normally distributed with. X = a(cid:374)d (cid:454) = / (cid:374) If the population is not normal: we can apply the central limit theorem: Even if the population is not normal, from the population will be approximately normal as long as the sample size is large enough. n (cid:1096) 30. For most distributions, (cid:374) (cid:1096) (cid:1007)(cid:1004) (cid:449)ill gi(cid:448)e a sa(cid:373)pli(cid:374)g dist(cid:396)i(cid:271)utio(cid:374) that is nearly normal.