Chapter 4: z-scores and Probability
... **This chapter corresponds to chapter 8 (“Are Your Curves Normal?”) of your book. What it is: z-scores (also called “standard scores”) are raw scores that have been adjusted for the mean and standard deviation of the distribution from which the raw scores came. z-scores are expressed in standard dev ...
... **This chapter corresponds to chapter 8 (“Are Your Curves Normal?”) of your book. What it is: z-scores (also called “standard scores”) are raw scores that have been adjusted for the mean and standard deviation of the distribution from which the raw scores came. z-scores are expressed in standard dev ...
Chapter 4 - City University of Hong Kong
... R2 = SSR/SST R2 is defined as the ratio of the variation explained by the regression line (i.e. SSR) to the total variation (i.e. SST) Some remarks on R2 (a) R2 takes values in [0, 1] (b) R2 = 1 => SSR = SST => Perfect fit (c) Large R2 => Large proportion of the total variation can be explained by ...
... R2 = SSR/SST R2 is defined as the ratio of the variation explained by the regression line (i.e. SSR) to the total variation (i.e. SST) Some remarks on R2 (a) R2 takes values in [0, 1] (b) R2 = 1 => SSR = SST => Perfect fit (c) Large R2 => Large proportion of the total variation can be explained by ...
Data and Error Analysis in Science
... because a very slow reaction distorts the mean in the direction of that large value. In this case, we call that very large value an outlier because it lies so far away from the rest of the measurements. Why might one group of students have recorded such a large value? Note: If the researchers can de ...
... because a very slow reaction distorts the mean in the direction of that large value. In this case, we call that very large value an outlier because it lies so far away from the rest of the measurements. Why might one group of students have recorded such a large value? Note: If the researchers can de ...
BA Economics QUESTION BANK Quantitative Methods for Economic Analysis – I
... 143. For the following correlation coefficients, which of the following indicates the strongest relation? (a) r = 0.5 b) r = 0.09 (c) r = −0.6 (d) r = 0.2 144. A researcher finds a correlation of 0.40 between personal income and the number of years of college completed. Based upon this finding he ca ...
... 143. For the following correlation coefficients, which of the following indicates the strongest relation? (a) r = 0.5 b) r = 0.09 (c) r = −0.6 (d) r = 0.2 144. A researcher finds a correlation of 0.40 between personal income and the number of years of college completed. Based upon this finding he ca ...
Lecture Notes
... We are very close to doing some statistical analyses to test specific hypothesis. The next step is to play with scenarios such as: You sample 36 scores from a population that has a μ=80 and σ=12. For what value of the sample mean is there only a 5% chance that you would obtain a sample mean that is ...
... We are very close to doing some statistical analyses to test specific hypothesis. The next step is to play with scenarios such as: You sample 36 scores from a population that has a μ=80 and σ=12. For what value of the sample mean is there only a 5% chance that you would obtain a sample mean that is ...
ANOVA
... Testing for a difference in more than two means • Previously we have seen how to test for a difference in two means, using a 2 sample t-test. But what if we want to test to see if there are differences in a set of more than two means? • The tool for doing this is called ANOVA, which is short for “a ...
... Testing for a difference in more than two means • Previously we have seen how to test for a difference in two means, using a 2 sample t-test. But what if we want to test to see if there are differences in a set of more than two means? • The tool for doing this is called ANOVA, which is short for “a ...
