hsa523.hw 6key
... 8. The SPSS file Stafserv.sav contains scope of service information for a random sample of 50 US hospitals. Specifically, the file lists how many specialized services (as reported by the American Hospital Directory) each hospital provided in 1996. i. Double-click here to load the file into SPSS. If ...
... 8. The SPSS file Stafserv.sav contains scope of service information for a random sample of 50 US hospitals. Specifically, the file lists how many specialized services (as reported by the American Hospital Directory) each hospital provided in 1996. i. Double-click here to load the file into SPSS. If ...
Lecture Notes #2: Introduction to Analysis of Variance 2-1
... Obviously, if we don’t know how much sleep deprivation a particular subject had, our best prediction of his or her reaction time would be the grand mean. This is ...
... Obviously, if we don’t know how much sleep deprivation a particular subject had, our best prediction of his or her reaction time would be the grand mean. This is ...
Chapter 7 What to do when you have the data
... Section Interpreting the Standard Deviation -the Empirical Rule We have seen that the Variance and hence the Standard Deviation of a dataset provides us with a relative measure of the variability contained in a dataset. So that if we are given two datasets the one with the larger Standard Deviation ...
... Section Interpreting the Standard Deviation -the Empirical Rule We have seen that the Variance and hence the Standard Deviation of a dataset provides us with a relative measure of the variability contained in a dataset. So that if we are given two datasets the one with the larger Standard Deviation ...
TPS 4e Guided Reading Notes Chapters 8
... 9. Can you use confidence intervals to decide between two hypotheses? What is the advantage to using confidence intervals for this purpose? ...
... 9. Can you use confidence intervals to decide between two hypotheses? What is the advantage to using confidence intervals for this purpose? ...
mean
... for many variables are normally or near-normally distributed – This allows use of the mean to describe the dataset (that’s why it’s called a “summary statistic”) When scores are more dispersed a distribution’s shape is flatter – Distance between most scores and the mean is greater – Many scores are ...
... for many variables are normally or near-normally distributed – This allows use of the mean to describe the dataset (that’s why it’s called a “summary statistic”) When scores are more dispersed a distribution’s shape is flatter – Distance between most scores and the mean is greater – Many scores are ...
Lecture 12/3 (Chi-Square, nonparametric tests, and summing up)
... For each of k categories, square the difference between the observed and the expected frequency, divide by the expected frequency, and sum over all k categories. This value, chi-square, will be distributed with known probability values, where the degrees of freedom is a function of the number of cat ...
... For each of k categories, square the difference between the observed and the expected frequency, divide by the expected frequency, and sum over all k categories. This value, chi-square, will be distributed with known probability values, where the degrees of freedom is a function of the number of cat ...
8.5 to 8.6
... Example: Data Set 13 in Appendix B of the text includes weights of 13 red M&M candies randomly selected from a bag containing 465 M&Ms. The weights (in grams) have a mean x = 0.8635 and a standard deviation s = 0.0576 g. The bag states that the net weight of the contents is 396.9 g, so the M&Ms must ...
... Example: Data Set 13 in Appendix B of the text includes weights of 13 red M&M candies randomly selected from a bag containing 465 M&Ms. The weights (in grams) have a mean x = 0.8635 and a standard deviation s = 0.0576 g. The bag states that the net weight of the contents is 396.9 g, so the M&Ms must ...