We can sometimes re-express non-normal variables with a mathematical transformation to make them more normal.
Correct option:
TRUE
Explanation:
We can sometimes re-express non-normal variables with a mathematical transformation to make them more normal. For example,a variable X following log-normal distribution can be transformed to normal distribution by the transformation Y = ln X.
We can sometimes re-express non-normal variables with a mathematical transformation to make them more normal.
When investigating the relationship between two quantitative variables, we sometimes transform one of the variables in order to: a) change a linear relationship into a nonlinear one. b) conserve space. c) more accurately portray the variable. d) make the data look more Normal.
(Mathematical statistics) * If , are independent standard normal random variables, find the density of Z1 We were unable to transcribe this imageWe were unable to transcribe this image
When people hake more money, they sometimes take more vacation time. Based on this information, we can say that leisure is a(n)good. Giffen O inferior substitute normal O complement
One of the assumptions we sometimes need to make when performing statistical inferences is that the response variable in the population has a Normal distribution. Is it possible to check that this assumption is satisfied? No - we can't really check this assumption since all data will look perfectly bell-shaped and symmetric, even if the population was not Normal. Yes - we can be absolutely sure the population was Normal if a plot of the data has no major outliers....
(can have zero or multiple answers) Transformation of training data representation... 1. is sometimes done before cluster modeling 2. is sometimes done before predictive modeling 3. can include variable selection 4. can include adding synthetic variables 5. can include imputing missing values based on variable means 6. can include imputing missing values to be zero 7. can affect predictive model performance 8. does affect how testing data must be represented
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Sometimes we write a program and we can think of different ways (different code statements) that provide the same functionality. What is generally the first criterion that should make you choose one way over the other? (Yes, sometimes there are special situations that call for special considerations. But usually our first consideration should be ________ ). Group of answer choices clarity memory footprint number of lines in code performance
Even though the normal probability distribution deals with continuous variables, we can use it to approximate the binomial probability distribution whenever n 30 and also n(q) 30. T/F ...why?