logging in or signing up Binomial distribution headlessprofessor Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 2683 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: October 07, 2008 This Presentation is Public Favorites: 0 Presentation Description How to use the binomial distribution to determine probabilities. Comments Posting comment... Premium member Presentation Transcript Binomial : Binomial headlessprofessor When to use? : When to use? Variable is measured on a binary nominal scale When to use? : When to use? Variable is measured on a binary nominal scale Success / Failure When to use? : When to use? Variable is measured on a binary nominal scale Success / Failure Number of successes X When to use? : When to use? Variable is measured on a binary nominal scale N identical trials When to use? : When to use? Variable is measured on a binary nominal scale N identical trials The total number of successes is a discrete ratio scale When to use? : When to use? Variable is measured on a binary nominal scale N identical trials Trials are independent When to use? : When to use? Variable is measured on a binary nominal scale N identical trials Trials are independent Probability p of success the same for each trial What we need to use the table : What we need to use the table N = number of trials (cases) X = number of successes P = probability of a success in each trial The binomial charts : The binomial charts A different chart for each N for N =2 through N = 20 The binomial charts : The binomial charts A different chart for each N Each row represents an X The binomial charts : The binomial charts A different chart for each N Each row represents an X Each column represents a P Example : Example The probability of a sales rep making a sale on a given day is p = .10. Example : Example The probability of a sales rep making a sale on a given day is p = .10. There are two sales reps, N = 2. Example : Example The probability of a sales rep making a sale on a given day is p = .10. There are two sales reps, N = 2. What is the probability that neither will make a sale? X = 0 Answer : Answer The probability of having zero successes from these two cases is .81. Example : Example The probability of a sales rep making a sale on a given day is p = .10. There are two sales reps, N = 2. What is the probability that at least one sale will be made? X > 0 Answer : Answer The probability of one success is .18 and two successes is .01 for a total of .19. Answer : Answer Or subtract the probability of zero successes from 1.00. 1.00 - .81 = .19 Example : Example The probability of a sales rep making a sale on a given day is p = .90. There are two sales reps, N = 2. What is the probability that neither will make a sale? X = 0 Answer : Answer The probability of having zero successes from these two cases is .01. By the way : By the way Many other statistical tests are derived from the binomial distribution By the way : By the way Many other statistical tests are derived from the binomial distribution The sign test for repeated measures By the way : By the way Many other statistical tests are derived from the binomial distribution The sign test for repeated measures The median test for sample vs. norms What does it prove? : What does it prove? If you get an extremely low probability, that merely means that your observed results are unlikely to conform to the frequencies expected by the binomial distribution. Alternatives : Alternatives If the sample size is larger than 20, consider using a test of proportions Z Alternatives : Alternatives If the sample size is larger than 20, consider using a test of proportions Z Chi square Alternatives : Alternatives If the sample size is larger than 20, consider using a test of proportions Z Chi square Kolmogorov-Smirnov Binomial : Binomial headlessprofessor You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Binomial distribution headlessprofessor Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 2683 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: October 07, 2008 This Presentation is Public Favorites: 0 Presentation Description How to use the binomial distribution to determine probabilities. Comments Posting comment... Premium member Presentation Transcript Binomial : Binomial headlessprofessor When to use? : When to use? Variable is measured on a binary nominal scale When to use? : When to use? Variable is measured on a binary nominal scale Success / Failure When to use? : When to use? Variable is measured on a binary nominal scale Success / Failure Number of successes X When to use? : When to use? Variable is measured on a binary nominal scale N identical trials When to use? : When to use? Variable is measured on a binary nominal scale N identical trials The total number of successes is a discrete ratio scale When to use? : When to use? Variable is measured on a binary nominal scale N identical trials Trials are independent When to use? : When to use? Variable is measured on a binary nominal scale N identical trials Trials are independent Probability p of success the same for each trial What we need to use the table : What we need to use the table N = number of trials (cases) X = number of successes P = probability of a success in each trial The binomial charts : The binomial charts A different chart for each N for N =2 through N = 20 The binomial charts : The binomial charts A different chart for each N Each row represents an X The binomial charts : The binomial charts A different chart for each N Each row represents an X Each column represents a P Example : Example The probability of a sales rep making a sale on a given day is p = .10. Example : Example The probability of a sales rep making a sale on a given day is p = .10. There are two sales reps, N = 2. Example : Example The probability of a sales rep making a sale on a given day is p = .10. There are two sales reps, N = 2. What is the probability that neither will make a sale? X = 0 Answer : Answer The probability of having zero successes from these two cases is .81. Example : Example The probability of a sales rep making a sale on a given day is p = .10. There are two sales reps, N = 2. What is the probability that at least one sale will be made? X > 0 Answer : Answer The probability of one success is .18 and two successes is .01 for a total of .19. Answer : Answer Or subtract the probability of zero successes from 1.00. 1.00 - .81 = .19 Example : Example The probability of a sales rep making a sale on a given day is p = .90. There are two sales reps, N = 2. What is the probability that neither will make a sale? X = 0 Answer : Answer The probability of having zero successes from these two cases is .01. By the way : By the way Many other statistical tests are derived from the binomial distribution By the way : By the way Many other statistical tests are derived from the binomial distribution The sign test for repeated measures By the way : By the way Many other statistical tests are derived from the binomial distribution The sign test for repeated measures The median test for sample vs. norms What does it prove? : What does it prove? If you get an extremely low probability, that merely means that your observed results are unlikely to conform to the frequencies expected by the binomial distribution. Alternatives : Alternatives If the sample size is larger than 20, consider using a test of proportions Z Alternatives : Alternatives If the sample size is larger than 20, consider using a test of proportions Z Chi square Alternatives : Alternatives If the sample size is larger than 20, consider using a test of proportions Z Chi square Kolmogorov-Smirnov Binomial : Binomial headlessprofessor