
Elimination of bias
... Parameter to be analysed Data type [Continuous, Discrete, Rank, Score, Binomial] Analysis type - [Comparison of means, Quantify association, Regression analysis] No. of groups to be analysed No. of data sets to be analysed Distribution of data - [normal or non-normal] Design - [paired or unpaired] W ...
... Parameter to be analysed Data type [Continuous, Discrete, Rank, Score, Binomial] Analysis type - [Comparison of means, Quantify association, Regression analysis] No. of groups to be analysed No. of data sets to be analysed Distribution of data - [normal or non-normal] Design - [paired or unpaired] W ...
Histograms:
... It appears as if the Carbon dioxide concentrations are becoming more spread out within one year than they used to be. In other words, we see a broader range of measurements (which are not as concentrated around the “average” concentration). I think that this could be because of CO2 fertilization (pl ...
... It appears as if the Carbon dioxide concentrations are becoming more spread out within one year than they used to be. In other words, we see a broader range of measurements (which are not as concentrated around the “average” concentration). I think that this could be because of CO2 fertilization (pl ...
Search problems
... Naïve representations of probability run into problems. Example: Patients in hospital are described by several attributes: Background: age, gender, history of diseases, … Symptoms: fever, blood pressure, headache, … Diseases: pneumonia, heart attack, … ...
... Naïve representations of probability run into problems. Example: Patients in hospital are described by several attributes: Background: age, gender, history of diseases, … Symptoms: fever, blood pressure, headache, … Diseases: pneumonia, heart attack, … ...
2. - Project Maths
... • looking for defective products rolling off an assembly line • shooting free throws in a basketball game Whenever we are dealing with a Bernoulli trial there is a discrete random variable X. This random variable needs to be identified because all probability questions will involve finding the proba ...
... • looking for defective products rolling off an assembly line • shooting free throws in a basketball game Whenever we are dealing with a Bernoulli trial there is a discrete random variable X. This random variable needs to be identified because all probability questions will involve finding the proba ...
Measures of Association for Crosstabulations_372
... observation is in a particular category of on variable and also in a particular category of the other variable equals the simple or marginal probability of being in those categories. ...
... observation is in a particular category of on variable and also in a particular category of the other variable equals the simple or marginal probability of being in those categories. ...
2010_Magerl_Pain
... To obtain an age-adjusted reference data base, the recently published reference data [28] were re-analyzed and separated for both genders and the three body regions that were available in the DFNS data bank: face (mid cheek, blunt pressure pain threshold PPT on the masseter muscle with upper and low ...
... To obtain an age-adjusted reference data base, the recently published reference data [28] were re-analyzed and separated for both genders and the three body regions that were available in the DFNS data bank: face (mid cheek, blunt pressure pain threshold PPT on the masseter muscle with upper and low ...
Finding the Probability of “A AND B”
... (3) the complement of “no heads” on 10 tosses of a coin is “at least one head.” ...
... (3) the complement of “no heads” on 10 tosses of a coin is “at least one head.” ...
Stats ch06.s03
... Let X be a continuous random variable, and let x be any number lying in the range of values this random variable can take. The probability density function, f(x), of the random variable is a function with the following properties: f(x) > 0 for all values of x The area under the probability density f ...
... Let X be a continuous random variable, and let x be any number lying in the range of values this random variable can take. The probability density function, f(x), of the random variable is a function with the following properties: f(x) > 0 for all values of x The area under the probability density f ...