The table compares the numbers (in thousands) of students who started college at a 4-year private, a 4-year public or a 2-vear public institution in fall 2007 and their educational status as of spring 2013. Find the probability that a student randomly selected from the study completed a degree or certificate by spring 2013, given the student began at a 4-year private institution in fall 2007. (Type an integer or decimal rounded to three decimal places as needed.) 4- year private 4-year public 2-year public Total Completed degree 320 640 342 1302 Still enrolled 44 150 155 349 Not enrolled 74 211 355 640 Total 438 1001 852 2291
The table compares the numbers (in thousands) of students who started college at a 4-year private, a 4-year public or a 2-vear public institution in fall 2007 and their educational status as of spring 2013. Find the probability that a student randomly selected from the study completed a degree or certificate by spring 2013, given the student began at a 4-year private institution in fall 2007. (Type an integer or decimal rounded to three decimal places as needed.) 4- year private 4-year public 2-year public Total Completed degree 320 640 342 1302 Still enrolled 44 150 155 349 Not enrolled 74 211 355 640 Total 438 1001 852 2291
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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