Episode Synopsis "Calculation of probabilities in a Poisson distribution, using tables - Part 1 (StatsCasts)"

In this video we look at how to use statistical tables to calculate probabilities in a Poisson distribution. This includes an example of using the table for the probability density function to determine the probability the random variable is equal to a particular value and an example of using the table for the cumulative distribution function to determine the probability the random variable is less than a certain value and an example determining the probability it is greater than or equal to a certain value.

Listen "Calculation of probabilities in a Poisson distribution, using tables - Part 1 (StatsCasts)"

More episodes of the podcast StatsCasts

• The Chi-square test (StatsCasts)
• Deciding if a distribution is Binomial or Poisson (StatsCasts)
• Calculation of probabilities in a Poisson distribution, using tables - Part 2 (StatsCasts)
• Calculation of probabilities in a Poisson distribution, using tables - Part 1 (StatsCasts)
• Calculation of probabilities in a Binomial distribution, using tables (StatsCasts)
• Background to test statistic and p value in z test (StatsCasts)
• Using standard normal distribution tables - Part 2 (StatsCasts)
• Using standard normal distribution tables - Part 1 (StatsCasts)
• Using inverse t table for two-tailed t test (StatsCasts)
• Using inverse t table for one tailed t test (StatsCasts)
• One sample z test using critical values (StatsCasts)
• Hypotheses for one sample test for the mean (StatsCasts)
• One sample t-test (StatsCasts)
• Correlation coefficients (StatsCasts)
• Experimental units and observational units (StatsCasts)
• Graphics (StatsCasts)
• Research questions (StatsCasts)
• Study design (StatsCasts)
• Calculating the sample size for estimating means (StatsCasts)
• Calculating the sample size for estimating proportions (StatsCasts)
• Regression (StatsCasts)
• Stem and leaf displays: special cases (StatsCasts)
• Stem and leaf displays (StatsCasts)
• Five number summary (StatsCasts)