The Practice of Statistics (5th Edition)
... maximum boxplot resistant standard deviation variance ...
... maximum boxplot resistant standard deviation variance ...
PPT
... A histogram is a way of summarizing data that are measured on an interval scale (either discrete or continuous). It is often used in exploratory data analysis to illustrate the major features of the distribution of the data in a convenient form. It divides up the range of possible values in a data s ...
... A histogram is a way of summarizing data that are measured on an interval scale (either discrete or continuous). It is often used in exploratory data analysis to illustrate the major features of the distribution of the data in a convenient form. It divides up the range of possible values in a data s ...
Data Analysis
... • We’ll use 95 % CI in this class – Any time you have 3 or more data points, determine mean, standard deviation, standard error, and t95%,n-1, then plot mean with error bars showing the 95% confidence interval ...
... • We’ll use 95 % CI in this class – Any time you have 3 or more data points, determine mean, standard deviation, standard error, and t95%,n-1, then plot mean with error bars showing the 95% confidence interval ...
Measures of Location And Variability for Ungrouped or Raw Data
... deviations from the arithmetic mean The following steps are used to calculate the variance: 1. Find the arithmetic mean. 2. Find the difference between each observation and the mean. 3. Square these differences. 4. Sum the squared differences. 5. Since the data is a sample, divide the number (from s ...
... deviations from the arithmetic mean The following steps are used to calculate the variance: 1. Find the arithmetic mean. 2. Find the difference between each observation and the mean. 3. Square these differences. 4. Sum the squared differences. 5. Since the data is a sample, divide the number (from s ...
Capability Metrics (Q and R) - Universal Instruments Corporation
... A process capability index, which is a measure of the process’ ability to produce product within specifications. If the process is known, then a ppm defective rate can be calculated for the process using the sigma level. (Note: Motorola uses a different method for obtaining the ppm defect rate. To a ...
... A process capability index, which is a measure of the process’ ability to produce product within specifications. If the process is known, then a ppm defective rate can be calculated for the process using the sigma level. (Note: Motorola uses a different method for obtaining the ppm defect rate. To a ...
Estimation
... A point estimate is a single value. The problem with point estimates is that the accuracy of the estimate cannot be determined, so the interval estimate is preferred. © Copyright McGraw-Hill 2004 ...
... A point estimate is a single value. The problem with point estimates is that the accuracy of the estimate cannot be determined, so the interval estimate is preferred. © Copyright McGraw-Hill 2004 ...
Chapter 7 Hypothesis Testing
... The Traditional Method Critical Region: contains values of the test statistic that would be considered unusual, assuming the Ho is true. If the test statistic falls in the critical region, that would be considered unusual, assuming the Ho was true. DECISION: REJECT HO. If the test statistic f ...
... The Traditional Method Critical Region: contains values of the test statistic that would be considered unusual, assuming the Ho is true. If the test statistic falls in the critical region, that would be considered unusual, assuming the Ho was true. DECISION: REJECT HO. If the test statistic f ...
Mathematical Template
... employees who would find the training program worthwhile. Some possibly useful TINV and NORMSINV values appear to the right. 12. The confidence interval would be centered on a) 0.7 ...
... employees who would find the training program worthwhile. Some possibly useful TINV and NORMSINV values appear to the right. 12. The confidence interval would be centered on a) 0.7 ...
AMS 315/576 Lecture Notes Chapter 5
... In a random sample of n = 36 parochial schools throughout the south, the average number of pupils per school is 379.2, with a standard deviation of 124. Use the sample to construct a 95% confidence interval for µ, the mean number of pupils per school for all parochial schools in the south. SOLUTION ...
... In a random sample of n = 36 parochial schools throughout the south, the average number of pupils per school is 379.2, with a standard deviation of 124. Use the sample to construct a 95% confidence interval for µ, the mean number of pupils per school for all parochial schools in the south. SOLUTION ...
Bootstrapping (statistics)
In statistics, bootstrapping can refer to any test or metric that relies on random sampling with replacement. Bootstrapping allows assigning measures of accuracy (defined in terms of bias, variance, confidence intervals, prediction error or some other such measure) to sample estimates. This technique allows estimation of the sampling distribution of almost any statistic using random sampling methods. Generally, it falls in the broader class of resampling methods.Bootstrapping is the practice of estimating properties of an estimator (such as its variance) by measuring those properties when sampling from an approximating distribution. One standard choice for an approximating distribution is the empirical distribution function of the observed data. In the case where a set of observations can be assumed to be from an independent and identically distributed population, this can be implemented by constructing a number of resamples with replacement, of the observed dataset (and of equal size to the observed dataset).It may also be used for constructing hypothesis tests. It is often used as an alternative to statistical inference based on the assumption of a parametric model when that assumption is in doubt, or where parametric inference is impossible or requires complicated formulas for the calculation of standard errors.