![Use and traditional knowledge of plant resources by the resettlers in](http://s1.studyres.com/store/data/008684750_1-bcfdd657d12e2da836d6f1286146954b-300x300.png)
Use and traditional knowledge of plant resources by the resettlers in
... where, and the how.. • It is never possible to compile a complete data set, what shortcuts do we take to reduce our workload and still achieve accurate results! • The method used for deciding which member of a statistical population will be included in the sample is called the sampling design. ...
... where, and the how.. • It is never possible to compile a complete data set, what shortcuts do we take to reduce our workload and still achieve accurate results! • The method used for deciding which member of a statistical population will be included in the sample is called the sampling design. ...
and T-tests
... – Selection: To eliminate the effect of an extraneous variable on a dependent variable, choose subjects so that they are as homogenous as possible (on that variable) – Addition: To control the effect of an extraneous variable, build it into the research design, so as to measure its effect on the dep ...
... – Selection: To eliminate the effect of an extraneous variable on a dependent variable, choose subjects so that they are as homogenous as possible (on that variable) – Addition: To control the effect of an extraneous variable, build it into the research design, so as to measure its effect on the dep ...
PPT
... • a frequency distribution tells the frequency/probability of attribute values across a set of scores (sample of population) • what is the freq distn of age for the sample? • a sampling distribution tells the frequency/probability of a statistical value about an attribute (e.g., mean age), from a se ...
... • a frequency distribution tells the frequency/probability of attribute values across a set of scores (sample of population) • what is the freq distn of age for the sample? • a sampling distribution tells the frequency/probability of a statistical value about an attribute (e.g., mean age), from a se ...
outline cours students
... Teacher \ faten alamri course \ MaSc 367 Office \2,923 EXT #/ 36241 Office hours \ Sunday , Tuesday and Thursday from 8 to 9 Email\ [email protected] Book\ Prasanna Sahoo. PROBABILITY and MATHEMATICAL Statistics, Department of Mathematics, University of Louisville. Topics to be coverd Revision on: ...
... Teacher \ faten alamri course \ MaSc 367 Office \2,923 EXT #/ 36241 Office hours \ Sunday , Tuesday and Thursday from 8 to 9 Email\ [email protected] Book\ Prasanna Sahoo. PROBABILITY and MATHEMATICAL Statistics, Department of Mathematics, University of Louisville. Topics to be coverd Revision on: ...
File
... 9. The standard deviation of the data in #8 is 32.6182. If a constant of 5 is added to all of the data, what would the new standard deviation be? _______________ 10. The mean of the data in #8 is 53.2222. If a constant of 5 is added to all of the data, what would the new mean be? _______________ 11. ...
... 9. The standard deviation of the data in #8 is 32.6182. If a constant of 5 is added to all of the data, what would the new standard deviation be? _______________ 10. The mean of the data in #8 is 53.2222. If a constant of 5 is added to all of the data, what would the new mean be? _______________ 11. ...
NAME - Net Start Class
... or trackball. How many combinations of color and model must she stock in order to have at least one of every possible combination? Make a list. ...
... or trackball. How many combinations of color and model must she stock in order to have at least one of every possible combination? Make a list. ...
Poisson Distribution
... It should be capable of being read and understood without reference to the original project description. Thus, for each question, it should contain all of the following: ...
... It should be capable of being read and understood without reference to the original project description. Thus, for each question, it should contain all of the following: ...
Descriptive Statistics
... min() and max() range() reports the minimum and maximum values found in the data structure. > f <- c(3, 2, 4, 1) > range(f) # reports min(f) and max(f) ...
... min() and max() range() reports the minimum and maximum values found in the data structure. > f <- c(3, 2, 4, 1) > range(f) # reports min(f) and max(f) ...