Ghty: What is the main difference between High-Low Method and Regression Analysis?

A) They are the same

B) Regression Analysis is used in aggressive periods, but High-Low Method is used always

C) High-Low Method is based on 2 periods, but Regression analysis consider all data so Regression analysis is more trustable

D) High-Low Method is based on high costs, but Regression analysis considers all costs

E) Regression Analysis is based on 2 periods, but High-Low Method considers all data

Ghty: which of the following is a true statement for a regression analysis?

-regression analysis is applied only to a non-linear model

-regression analysis is applied only to a multiplicative model

-regression analysis is applied only to a linear model

-regression analysis is applied only to an exponential model

an experiment with more than one manipulated factor is called

-simple random design

-non-randomized block design

-factorial design

-none of the above

Choper & Continuous Probability Distributors The moment-generating function of 2 has the form of a mongil-jobunting func- Linn For a reormal random variable with mean 0 and variance L The. by pup- erty , variable Z must have a normal distribution with mean 0 and varianor I. Exercises 4.140 Show fut a garra duribution with parameters 8.102 Lat I dinghy a standard normal random var 8. 103 Lut & dench a Standard normal random want 4.101 4wing the moment generating function to f What sous thy uniquenous property of the moment-pingsting function full you about the Al times, theoretical distribution of the functions of random variables might not be known to the experimenters, In such situations, the probability distributions cim be simulated for decision making. Most of the modern statistical software arc capable of generating measurements from commonly used distributions. Example 6.33 One particular assembly in bicycles requires inserting a solid bar imo a bellow cylinder. The bicycle manufacturer receives bar and cylinders from two different contractors, The information provided by the contractors says that The bar diameters are approximately normally distributed with moan 2 om and Mandard deviation 0.I cm. " The cylinder's inner diameters any approximately normally distributed with main 2 1 cm and standard deviation 9.03 om. If the bar diameter is larger than the cylinder diameter, the moombly is not possi ble. Also bars with diameter more than 03 cm smaller than the cylinder are too loves to be used in the assembly. If one bar and our cylinder are schooled at ran dom, what is the probability that the assembly is not possibly? Solution Let C= the diameter of the cylinder and & = they diameter of the hur Them - & is approximately normally distributed with a, = 1 omando, =0.I am. . Ch apprecimately normally distributed with ar = 1 1 cm and or = DOsom We are interested in the difference (C - D). The assembly is mex possibly if [C - B)