New Lecture Note for Chapter 15
... Kruskal-Wallis hypotheses: 1. Data should come from independent random samples; the response has a continuous (but not necessarily Normal) distribution. ...
... Kruskal-Wallis hypotheses: 1. Data should come from independent random samples; the response has a continuous (but not necessarily Normal) distribution. ...
Data Screening - Melinda Higgins, Ph.D.
... • SE_kurt is the std. error of kurtosis • Zs or Zk values > 1.96 are significant at 0.05 sig. level • Zs or Zk values > 2.58 are significant at 0.01 sig. level • Zs or Zk values > 3.29 are significant at 0.001 sig. level Data Screening, Exploring and Clean-Up ...
... • SE_kurt is the std. error of kurtosis • Zs or Zk values > 1.96 are significant at 0.05 sig. level • Zs or Zk values > 2.58 are significant at 0.01 sig. level • Zs or Zk values > 3.29 are significant at 0.001 sig. level Data Screening, Exploring and Clean-Up ...
Lecture 2: Exploratory Data Analysis with R
... A “boxplot”, or “box-and-whiskers plot” is a graphical summary of a distribution; the box in the middle indicates “hinges” (close to the first and third quartiles) and median. The lines (“whiskers”) show the largest or smallest observation that falls within a distance of 1.5 times the box size from ...
... A “boxplot”, or “box-and-whiskers plot” is a graphical summary of a distribution; the box in the middle indicates “hinges” (close to the first and third quartiles) and median. The lines (“whiskers”) show the largest or smallest observation that falls within a distance of 1.5 times the box size from ...
%YAMGAST: Yet Another Macro to Generate a Summary Table
... continuous variable. It is recommended to use exact test for continuous variables when the sample size is less than 30.[2] Some of the SAS procedures, for example the NPAR1WAY and FREQ, provide EXACT statement which can be used for exact test. There are many published macros that generate a summary ...
... continuous variable. It is recommended to use exact test for continuous variables when the sample size is less than 30.[2] Some of the SAS procedures, for example the NPAR1WAY and FREQ, provide EXACT statement which can be used for exact test. There are many published macros that generate a summary ...
Statistical Analysis & Specification
... If X1, X2, …, Xn is a random sample of size n from a normal distribution with unknown mean and unknown standard deviation , then a one-sided lower (upper) tolerance interval is defined by the lower tolerance limit LTL (upper tolerance limit UTL), the value for which at least the proportion P of t ...
... If X1, X2, …, Xn is a random sample of size n from a normal distribution with unknown mean and unknown standard deviation , then a one-sided lower (upper) tolerance interval is defined by the lower tolerance limit LTL (upper tolerance limit UTL), the value for which at least the proportion P of t ...
confidence interval estimate - McGraw Hill Higher Education
... To develop a confidence interval for a proportion, we need to meet the following assumptions. 1. The binomial conditions, discussed in Chapter 6, have been met. Briefly, these conditions are: a. The sample data is the result of counts. b. There are only two possible outcomes. c. The probability of a ...
... To develop a confidence interval for a proportion, we need to meet the following assumptions. 1. The binomial conditions, discussed in Chapter 6, have been met. Briefly, these conditions are: a. The sample data is the result of counts. b. There are only two possible outcomes. c. The probability of a ...
Summarizing It All
... The Descriptive Statistics tool gives values for these statistics: mean, standard error, median, mode, standard deviation, sample variance, kurtosis, skewness, range, minimum, maximum, sum, and count. Except for standard error and range, I’ve discussed all of them. Range is just the difference betwe ...
... The Descriptive Statistics tool gives values for these statistics: mean, standard error, median, mode, standard deviation, sample variance, kurtosis, skewness, range, minimum, maximum, sum, and count. Except for standard error and range, I’ve discussed all of them. Range is just the difference betwe ...
Chapter 9 - McGraw Hill Higher Education
... Classical Variables Sampling Advantages 1. When the auditor expects a relatively large number of differences between book and audited values, this method will normally result in smaller sample size than MUS. 2. The techniques are effective for both overstatements and understatements. 3. The selectio ...
... Classical Variables Sampling Advantages 1. When the auditor expects a relatively large number of differences between book and audited values, this method will normally result in smaller sample size than MUS. 2. The techniques are effective for both overstatements and understatements. 3. The selectio ...
Help Sheet for reading SPSS printouts
... A correlation tells you how and to what extent two variables are linearly related. Use this technique when you have two variables (measured on the same person) that are quantitative in nature and measured on a level that at least approximates interval characteristics. When conducting a correlation, ...
... A correlation tells you how and to what extent two variables are linearly related. Use this technique when you have two variables (measured on the same person) that are quantitative in nature and measured on a level that at least approximates interval characteristics. When conducting a correlation, ...
Survey Analysis: Options for Missing Data
... Standard errors for MEPS estimates normally require the analytic file to contain all of the MEPS sample persons (e.g., those with positive values for the person weight variable) in order for the analysis to correctly account for the MEPS strata and PSUs. Subsetting to a population of interest (e.g. ...
... Standard errors for MEPS estimates normally require the analytic file to contain all of the MEPS sample persons (e.g., those with positive values for the person weight variable) in order for the analysis to correctly account for the MEPS strata and PSUs. Subsetting to a population of interest (e.g. ...
A few words about REML
... estimates of the fixed effects parameters. GLS is a version of least squares that allows us to account for covariances among the responses, such as might be present in a mixed effects model. Sometimes we get the same estimates using GLS that we would get using ordinary least squares, but not always. ...
... estimates of the fixed effects parameters. GLS is a version of least squares that allows us to account for covariances among the responses, such as might be present in a mixed effects model. Sometimes we get the same estimates using GLS that we would get using ordinary least squares, but not always. ...
