Chapter 4: Random Variables and Probability Distributions
... Assumptions: Clear statements about any assumptions concerning the target population Experiment and calculation of test statistic: The appropriate calculation for the test based on the sample data Conclusion: Reject the null hypothesis (with possible Type I error) or do not reject it (with possible ...
... Assumptions: Clear statements about any assumptions concerning the target population Experiment and calculation of test statistic: The appropriate calculation for the test based on the sample data Conclusion: Reject the null hypothesis (with possible Type I error) or do not reject it (with possible ...
3. Statistics that describe the central position in a data set
... 9. Comparing samples from two different sites Suppose one collects data from two different sites and wants to compare the two sites to see if there is a statistical difference between the average values for these sites. Again, a Student’s ttest is employed to make such a comparison. In this case, th ...
... 9. Comparing samples from two different sites Suppose one collects data from two different sites and wants to compare the two sites to see if there is a statistical difference between the average values for these sites. Again, a Student’s ttest is employed to make such a comparison. In this case, th ...
HERE - MIT
... Know the major types of study design features (e.g., randomization) and why they might be used. Know the strengths and weaknesses of different design features. For example, what purpose does a control group serve? Why might a before-and-after design be preferred to a "one time" design? Hypothesis te ...
... Know the major types of study design features (e.g., randomization) and why they might be used. Know the strengths and weaknesses of different design features. For example, what purpose does a control group serve? Why might a before-and-after design be preferred to a "one time" design? Hypothesis te ...
Using the SAS System to Construct n-Values Plots
... plot is based on the null-distribution (whereas the latter is based on various non-null distributions). The n-values plot quantifies statements such as: “The results were nearly significant” by supplying a sample size at which significance would, ceteris paribus, lead to rejection. This approach is ...
... plot is based on the null-distribution (whereas the latter is based on various non-null distributions). The n-values plot quantifies statements such as: “The results were nearly significant” by supplying a sample size at which significance would, ceteris paribus, lead to rejection. This approach is ...
PPT - Bioinformatics.ca
... • Formally ANOVA provides a statistical test (by looking at group variance) of whether or not the means of several groups are all equal • Uses an F-measure to test for significance • 1-way, 2-way, 3-way and n-way ANOVAs, most common is 1-way which just is concerned about whether any of the 3+ popula ...
... • Formally ANOVA provides a statistical test (by looking at group variance) of whether or not the means of several groups are all equal • Uses an F-measure to test for significance • 1-way, 2-way, 3-way and n-way ANOVAs, most common is 1-way which just is concerned about whether any of the 3+ popula ...
4/14/98 252x9931 - On
... on 50 trips up the avenue and from the data you come to the conclusion that the (sample) probability of success is .5. You use a binomial table p .5, n 25 to figure out the probabilities of getting various numbers of red lights on a single run and then you record the number of times you get ...
... on 50 trips up the avenue and from the data you come to the conclusion that the (sample) probability of success is .5. You use a binomial table p .5, n 25 to figure out the probabilities of getting various numbers of red lights on a single run and then you record the number of times you get ...
