![MATH 105: [Probability and] Statistics Joe Whittaker B25 Fylde](http://s1.studyres.com/store/data/002480124_1-f4574cad5f4d91033c0fcabc8332ba46-300x300.png)
MATH 105: [Probability and] Statistics Joe Whittaker B25 Fylde
... Secondly, the extension of probability from discrete random variables, discussed in math104, to continuous random variables is discussed here. Both the discrete and the continous cases are needed for statistics. The mathematical prerequisites for the analysis of continuous random variables is the in ...
... Secondly, the extension of probability from discrete random variables, discussed in math104, to continuous random variables is discussed here. Both the discrete and the continous cases are needed for statistics. The mathematical prerequisites for the analysis of continuous random variables is the in ...
1 Exercises : Statistics 213 (L05) - Fall 2007 (Binomial, Sampling
... (b) If we took another random sample of trees, we would find that 40% of these would show some signs of damage. (c) If a sample of 1000 trees was examined, the variability of the sample proportion would be larger than for a sample of 100 trees. (d) This is a comparative experiment. (e) none of these ...
... (b) If we took another random sample of trees, we would find that 40% of these would show some signs of damage. (c) If a sample of 1000 trees was examined, the variability of the sample proportion would be larger than for a sample of 100 trees. (d) This is a comparative experiment. (e) none of these ...
Solution to Practice Problems for Midterm #1
... Answer: The statement is decidedly incorrect. Transparency is important for both communicative reasons and ethical reasons. If we present data (or descriptions of data) in such a way that it is difficult to interpret, we are guilty of potentially misleading our audience. Whether intentional or not, ...
... Answer: The statement is decidedly incorrect. Transparency is important for both communicative reasons and ethical reasons. If we present data (or descriptions of data) in such a way that it is difficult to interpret, we are guilty of potentially misleading our audience. Whether intentional or not, ...
Document
... comparisons with t tests and then multiplies each p-value by the number of comparisons made. This ensures that the probability of making any false rejection among all comparisons made is no greater than the chosen significance level α. As a consequence, the higher the number of pair-wise comparisons ...
... comparisons with t tests and then multiplies each p-value by the number of comparisons made. This ensures that the probability of making any false rejection among all comparisons made is no greater than the chosen significance level α. As a consequence, the higher the number of pair-wise comparisons ...
EXAM RG 1 Research Methods
... second goal of science, understanding and prediction. However, this degree of control can also be a potential weakness for experiments. By controlling features of the environments of subjects the researcher may create too artificial an environment. This means that while the researcher may have accur ...
... second goal of science, understanding and prediction. However, this degree of control can also be a potential weakness for experiments. By controlling features of the environments of subjects the researcher may create too artificial an environment. This means that while the researcher may have accur ...
Random Rectangles Activity
... total, and we also still want it to be a random sample. Look back at the original sheet of rectangles (side #1). We can put the rectangles into clusters (groups) of five based on their assigned number. So the first cluster would be rectangles #1-5, the second cluster would be rectangles #6-10, and s ...
... total, and we also still want it to be a random sample. Look back at the original sheet of rectangles (side #1). We can put the rectangles into clusters (groups) of five based on their assigned number. So the first cluster would be rectangles #1-5, the second cluster would be rectangles #6-10, and s ...
ANOVAchapter
... When we look at effect sizes for specific contrasts, which is what we really want to do, we have better measures than those in the r-family. Rosenthal (1994) referred to these as d-family measures because they focus on the size of the difference between two groups or sets of groups. Measures in the ...
... When we look at effect sizes for specific contrasts, which is what we really want to do, we have better measures than those in the r-family. Rosenthal (1994) referred to these as d-family measures because they focus on the size of the difference between two groups or sets of groups. Measures in the ...
