By U. Narayan Bhat
This introductory textbook is designed for a one-semester direction on queueing idea that doesn't require a path in stochastic tactics as a prerequisite. via integrating the required heritage on stochastic methods with the research of types, this booklet presents a foundational advent to the modeling and research of queueing structures for a wide interdisciplinary viewers of scholars. Containing routines and examples, this quantity can be used as a textbook by means of first-year graduate and upper-level undergraduate scholars. The paintings can also be beneficial as a self-study reference for purposes and additional study.
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Extra info for An Introduction to Queueing Theory: Modeling and Analysis in Applications (2nd Edition)
The sampling distribution of the difference scores should be normally distributed. 4 Example A researcher designed an experiment to test the effect of drug X on eating behavior. The amount of food eaten by a group of rats in a one-week period prior to ingesting drug X was recorded. The rats were then given drug X, and the amount of food eaten in a one-week period was again recorded. The following amounts of food in grams were eaten during the “before” and “after” conditions. SAV. 2 Column 1 2 Code Food eaten (in grams) Food eaten (in grams) Windows Method 1.
1. From the menu bar, click Analyze, then Descriptive Statistics, and then Frequencies. The following Frequencies window will open: 2. In the left-hand field containing the study’s five variables, click (highlight) these variables, and then click selected variables to the Variable(s) field. fm Page 19 Thursday, January 26, 2006 11:28 AM Introduction to SPSS 3. Click to open the Frequencies: Statistics window. Suppose the researcher is only interested in obtaining statistics for the Mean, Median, Mode, and Standard Deviation for the five variables, check the fields related to these statistics in the Frequencies: Statistics window.
Fm Page 43 Thursday, January 26, 2006 11:28 AM T-Test for Independent Groups 43 2. Because GENDER is the grouping (independent) variable, transfer it to the Grouping Variable field by clicking (highlighting) the variable and then clicking . As WORDS is the test (dependent) variable, transfer it to the Test Variable(s) field by clicking (highlighting) the variable and then clicking . 3. Click to define the range for the grouping variable of GENDER (coded 1 = male, 2 = female). When the following Define Groups window opens, type 1 in the Group 1 field and 2 in the Group 2 field, and then click © 2006 by Taylor & Francis Group, LLC .