Slides for week 11 lecture 1
... Student’s t-Statistic The t-statistic has a sampling distribution very much like that of the z-statistic: mound-shaped, symmetric, with mean 0. The primary difference between the sampling distributions of t and z is that the t-statistic is more variable than the z-statistic. ...
... Student’s t-Statistic The t-statistic has a sampling distribution very much like that of the z-statistic: mound-shaped, symmetric, with mean 0. The primary difference between the sampling distributions of t and z is that the t-statistic is more variable than the z-statistic. ...
lecture statistical physics for 312
... premises, the more different kinds of things it relates, and the more extended its area of applicability. Hence the deep impression that classical thermodynamics made upon me. It is the only physical theory of universal content concerning which I am convinced that, within the framework of the applic ...
... premises, the more different kinds of things it relates, and the more extended its area of applicability. Hence the deep impression that classical thermodynamics made upon me. It is the only physical theory of universal content concerning which I am convinced that, within the framework of the applic ...
notes Ch 16
... Suppose you mix a quart of lemonade. There should be 32 fluid ounces, but your measuring process isn’t perfectly accurate so, while 32 is the expected amount, there remains some variability. You pour a 12-ounce glass. Of course that measurement is not perfect either, so it’s actually somewhere aroun ...
... Suppose you mix a quart of lemonade. There should be 32 fluid ounces, but your measuring process isn’t perfectly accurate so, while 32 is the expected amount, there remains some variability. You pour a 12-ounce glass. Of course that measurement is not perfect either, so it’s actually somewhere aroun ...
Probability and Randomness What is randomness? A phenomenon
... Random experiment—we will not use this term, since “experiment” means something else to us. Random (regular enough to be modelled) vs Haphazard (too irregular to model effectively). ...
... Random experiment—we will not use this term, since “experiment” means something else to us. Random (regular enough to be modelled) vs Haphazard (too irregular to model effectively). ...
Analyzing Data Using Standard Deviation
... o Using the same process (on a separate piece of paper), multiply each number in your distribution by 4 and compute the mean and the standard deviation of this new distribution, then do the same thing except multiply by 9. o What conclusions can be drawn about changes in the mean and standard deviat ...
... o Using the same process (on a separate piece of paper), multiply each number in your distribution by 4 and compute the mean and the standard deviation of this new distribution, then do the same thing except multiply by 9. o What conclusions can be drawn about changes in the mean and standard deviat ...
TI-83 Worksheet Number 22
... Move cursor to list 2, L2 Enter Count in L2 Selects One-Variable Statistics from CALC menu and puts command on the home screen Display x 67.115 (mean) S x 3.792 (standard deviation) ...
... Move cursor to list 2, L2 Enter Count in L2 Selects One-Variable Statistics from CALC menu and puts command on the home screen Display x 67.115 (mean) S x 3.792 (standard deviation) ...
Statistics Glossary
... which is better than the sample range which only uses two values. Remember that large values of the sample standard deviation correspond to more variability and small values correspond to less variability. A value of zero (s=0) means there is no variability in the distribution of data. This is only ...
... which is better than the sample range which only uses two values. Remember that large values of the sample standard deviation correspond to more variability and small values correspond to less variability. A value of zero (s=0) means there is no variability in the distribution of data. This is only ...
