Mean Analysis
... 1. Take a random sample of size n. 2. Calculate the confidence interval based on your sample. 3. Check if the confidence interval is small enough. If it is too wide, decide a proper width. 4. Assuming the sample standard deviation will remain the same, use the equation for confidence interval to est ...
... 1. Take a random sample of size n. 2. Calculate the confidence interval based on your sample. 3. Check if the confidence interval is small enough. If it is too wide, decide a proper width. 4. Assuming the sample standard deviation will remain the same, use the equation for confidence interval to est ...
notes
... we are confident that 80% of the samples will have a mean between m - 1.28 x and m + 1.28 x , or within the interval [474.4, 525.6] ...
... we are confident that 80% of the samples will have a mean between m - 1.28 x and m + 1.28 x , or within the interval [474.4, 525.6] ...
Lecture 6. Order Statistics
... (c) Are the advantages of the estimate appropriate for the problem at hand? We will study several estimation methods: 1. Maximum likelihood estimates. These estimates usually have highly desirable theoretical properties (consistency), and are frequently not difficult to compute. 2. Confidence intervals ...
... (c) Are the advantages of the estimate appropriate for the problem at hand? We will study several estimation methods: 1. Maximum likelihood estimates. These estimates usually have highly desirable theoretical properties (consistency), and are frequently not difficult to compute. 2. Confidence intervals ...
Chapter 8
... 7. What is the probability of getting at least 1 success out of 10 independent trials? ...
... 7. What is the probability of getting at least 1 success out of 10 independent trials? ...
252oneal
... In a situation where the population distribution is not normal, it is often more appropriate to find the median than the mean. The process of finding a confidence interval for a median is based on one simple fact: the probability that a single number picked at random from a population is above (or b ...
... In a situation where the population distribution is not normal, it is often more appropriate to find the median than the mean. The process of finding a confidence interval for a median is based on one simple fact: the probability that a single number picked at random from a population is above (or b ...
Chapter 5/6 Review
... 10) Find the critical values for the following situation(s): a) You wish to construct a 92% confidence interval estimate of the population mean with the following sample data. A sample size of 126 gave a sample mean of 34.5 with a standard deviation of 2.5. ...
... 10) Find the critical values for the following situation(s): a) You wish to construct a 92% confidence interval estimate of the population mean with the following sample data. A sample size of 126 gave a sample mean of 34.5 with a standard deviation of 2.5. ...
Document
... their real name, therefore he used the name "Student" to hide his identity. • Another version is that Guinness did not want their competitors to know that they were using the t-test to test the quality of ...
... their real name, therefore he used the name "Student" to hide his identity. • Another version is that Guinness did not want their competitors to know that they were using the t-test to test the quality of ...
German tank problem
In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.