One Way Anova SPSS H..
... row 1: minor row 1, the mean difference is (-11.00) - (-2.00) = -9.00. The second column of data, labeled Stand. Error, presents the denominator of the LSD t-test. For the Acid - Vinegar group comparison the Standard Error is 1.34578. SPSS does not display the resulting LSD t value, but dividing the ...
... row 1: minor row 1, the mean difference is (-11.00) - (-2.00) = -9.00. The second column of data, labeled Stand. Error, presents the denominator of the LSD t-test. For the Acid - Vinegar group comparison the Standard Error is 1.34578. SPSS does not display the resulting LSD t value, but dividing the ...
Excel Skills for What Graph or Display to Use When
... A categorical variable has two or more categories without any ordering. e.g. hair colour is a categorical variable because there is no ordered way of describing hair colour. A purely categorical variable is one that simply allows you to assign categories but you cannot clearly order the variables. ( ...
... A categorical variable has two or more categories without any ordering. e.g. hair colour is a categorical variable because there is no ordered way of describing hair colour. A purely categorical variable is one that simply allows you to assign categories but you cannot clearly order the variables. ( ...
Displaying Categorical Variables Frequency Table
... Find the median for the following data values that are in ascending order with even n: {6, 7, 8, 9, 9, 10}, n=6. Dept of median = (n+1)/2 = 3.5 The median is then the average of the 3rd and 4th number. The median is (8+9)/2 = 8.5 ...
... Find the median for the following data values that are in ascending order with even n: {6, 7, 8, 9, 9, 10}, n=6. Dept of median = (n+1)/2 = 3.5 The median is then the average of the 3rd and 4th number. The median is (8+9)/2 = 8.5 ...
Stt511 Lecture02
... outliers. If, for example, we increased the two largest xis from 75.7 and 79.0 to 85.7 and 89.0, respectively, would be unaffected. Thus, in the treatment of outlying data values, x and are at opposite ends of a spectrum. Both measures describe where the data is centered, but they will not in genera ...
... outliers. If, for example, we increased the two largest xis from 75.7 and 79.0 to 85.7 and 89.0, respectively, would be unaffected. Thus, in the treatment of outlying data values, x and are at opposite ends of a spectrum. Both measures describe where the data is centered, but they will not in genera ...
Calculating simple descriptives in R
... Note that we specified the extra variable in the sleep dataset, by using a dollar sign. Alternatively, we could have referred to the extra variable, using indices within the data frame. We want all of the rows in the dataset, and so we would leave the first part of this index specification blank - a ...
... Note that we specified the extra variable in the sleep dataset, by using a dollar sign. Alternatively, we could have referred to the extra variable, using indices within the data frame. We want all of the rows in the dataset, and so we would leave the first part of this index specification blank - a ...
Looking at Data—Distributions
... In a study, we collect information—data—from cases. Cases can be individuals, companies, animals, plants, or any object of interest. A label is a special variable used in some data sets to distinguish the different cases. A variable is any characteristic of an case. A variable varies among cases. Ex ...
... In a study, we collect information—data—from cases. Cases can be individuals, companies, animals, plants, or any object of interest. A label is a special variable used in some data sets to distinguish the different cases. A variable is any characteristic of an case. A variable varies among cases. Ex ...
x - Department of Mathematics and Statistics
... In a study, we collect information—data—from cases. Cases can be individuals, companies, animals, plants, or any object of interest. A label is a special variable used in some data sets to distinguish the different cases. A variable is any characteristic of an case. A variable varies among cases. Ex ...
... In a study, we collect information—data—from cases. Cases can be individuals, companies, animals, plants, or any object of interest. A label is a special variable used in some data sets to distinguish the different cases. A variable is any characteristic of an case. A variable varies among cases. Ex ...
Minitab Guide for Math 355
... 2) In the dialog box, select either “Probability” or “Cumulative Probability” depending on whether you want P(X = k) or P(X ≤ k). 3) Specify the number of trials and the probability of success. 4) Click on “Input Constant” and fill in the corresponding box with the value of k. ...
... 2) In the dialog box, select either “Probability” or “Cumulative Probability” depending on whether you want P(X = k) or P(X ≤ k). 3) Specify the number of trials and the probability of success. 4) Click on “Input Constant” and fill in the corresponding box with the value of k. ...
Survey Analysis: Options for Missing Data
... the MEPS sample design includes stratification, clustering, multiple stages of selection, and disproportionate sampling. Because of these complex design properties, it is not appropriate to assume simple random sampling for variance estimation. To obtain accurate variance estimates an appropriate te ...
... the MEPS sample design includes stratification, clustering, multiple stages of selection, and disproportionate sampling. Because of these complex design properties, it is not appropriate to assume simple random sampling for variance estimation. To obtain accurate variance estimates an appropriate te ...
CGA4_Stats_work_problems
... The median shows the mid-point in a distribution and is, therefore, less easily distorted by extreme values than the mean. For this reason, it may be more useful to use the median as the main descriptive statistic for a sample of data in which some of the measurements are extremely large or extremel ...
... The median shows the mid-point in a distribution and is, therefore, less easily distorted by extreme values than the mean. For this reason, it may be more useful to use the median as the main descriptive statistic for a sample of data in which some of the measurements are extremely large or extremel ...
Notes 21
... • When several tests are considered simultaneously, they constitute a family of tests. • Individual Type I error rate: Probability for a single test that the null hypothesis will be rejected assuming that the null hypothesis is true. • Familywise Type I error rate: Probability for a family of test t ...
... • When several tests are considered simultaneously, they constitute a family of tests. • Individual Type I error rate: Probability for a single test that the null hypothesis will be rejected assuming that the null hypothesis is true. • Familywise Type I error rate: Probability for a family of test t ...
What the one-way ANOVA for?
... ANOVA is used when you have three or more categorical, independent groups, but it can be used for just two groups (but an independent-samples t-test is more commonly used for two groups). Example independent variables that meet this criterion include ethnicity (e.g., 3 groups: Caucasian, African Ame ...
... ANOVA is used when you have three or more categorical, independent groups, but it can be used for just two groups (but an independent-samples t-test is more commonly used for two groups). Example independent variables that meet this criterion include ethnicity (e.g., 3 groups: Caucasian, African Ame ...
Quick Stata Guide
... This creates four new indicator variables. For example, nkids_2 is equal to 2 if the family has two children, and 0 otherwise. We can now regress the child support award on the number of children in the most flexible way possible without assuming the relationship to be linear or quadratic. . reg awa ...
... This creates four new indicator variables. For example, nkids_2 is equal to 2 if the family has two children, and 0 otherwise. We can now regress the child support award on the number of children in the most flexible way possible without assuming the relationship to be linear or quadratic. . reg awa ...
LDF
... • We start with a grouping variable and a set of quantitative (or binary) predictors (what would be DVs if doing ANOVAs) • using an algorithm much like multiple regression, the bivariate relationship of predictor to the grouping variable & the collinearities among the predictors are all taken into a ...
... • We start with a grouping variable and a set of quantitative (or binary) predictors (what would be DVs if doing ANOVAs) • using an algorithm much like multiple regression, the bivariate relationship of predictor to the grouping variable & the collinearities among the predictors are all taken into a ...
Statistics
... The median for grouped data is slightly more difficult to compute. We know that the median occurs in the particular class interval for which the cumulative frequency is . On observing the less-than type, say, cumulative frequencies, we can obtain the class interval that contains the median. In fact, ...
... The median for grouped data is slightly more difficult to compute. We know that the median occurs in the particular class interval for which the cumulative frequency is . On observing the less-than type, say, cumulative frequencies, we can obtain the class interval that contains the median. In fact, ...
Displaying Categorical Variables Frequency Table
... Find the median for the following data values that are in ascending order with even n: {6, 7, 8, 9, 9, 10}, n=6. Dept of median = (n+1)/2 = 3.5 The median is then the average of the 3rd and 4th number. The median is (8+9)/2 = 8.5 ...
... Find the median for the following data values that are in ascending order with even n: {6, 7, 8, 9, 9, 10}, n=6. Dept of median = (n+1)/2 = 3.5 The median is then the average of the 3rd and 4th number. The median is (8+9)/2 = 8.5 ...
Lecture Power Point Slides
... lies below The upper quartile is the point that 1 quarter al the data lies above The difference between the quartiles is the IQR, so ...
... lies below The upper quartile is the point that 1 quarter al the data lies above The difference between the quartiles is the IQR, so ...
Lecture Notes_Set 1 - Michigan State University`s Statistics and
... OBSERVATIONS DIVIDED BY THE NUMBER OF OBSERVATIONS. • MEDIAN: THE MEDIAN IS THE MIDPOINT OF THE OBSERVATIONS WHEN THEY ARE ORDERED FROM THE SMALLEST TO THE LARGEST (OR FROM THE LARGEST TO SMALLEST). ...
... OBSERVATIONS DIVIDED BY THE NUMBER OF OBSERVATIONS. • MEDIAN: THE MEDIAN IS THE MIDPOINT OF THE OBSERVATIONS WHEN THEY ARE ORDERED FROM THE SMALLEST TO THE LARGEST (OR FROM THE LARGEST TO SMALLEST). ...
Example - Michigan State University`s Statistics and Probability
... OBSERVATIONS DIVIDED BY THE NUMBER OF OBSERVATIONS. • MEDIAN: THE MEDIAN IS THE MIDPOINT OF THE OBSERVATIONS WHEN THEY ARE ORDERED FROM THE SMALLEST TO THE LARGEST (OR FROM THE LARGEST TO SMALLEST). ...
... OBSERVATIONS DIVIDED BY THE NUMBER OF OBSERVATIONS. • MEDIAN: THE MEDIAN IS THE MIDPOINT OF THE OBSERVATIONS WHEN THEY ARE ORDERED FROM THE SMALLEST TO THE LARGEST (OR FROM THE LARGEST TO SMALLEST). ...
Chapter 2-6. More on Levels of Measurement
... “Whereas there is usually little dispute over whether nominal or ordinal properties have been established, there is often great dispute over whether or not a scale possesses a meaningful unit of measurement. Formal scaling methods designed to this end are discussed in Chapters 2, 10, and 15. For now ...
... “Whereas there is usually little dispute over whether nominal or ordinal properties have been established, there is often great dispute over whether or not a scale possesses a meaningful unit of measurement. Formal scaling methods designed to this end are discussed in Chapters 2, 10, and 15. For now ...
MBA 9 Research and Q..
... relation to chi-square and other forms of hypothesis testing statistics • Each of a number of independently variable factors affecting the range of states in which a system may exist, in particular • Degrees of freedom are used to then determine whether a particular null hypothesis can be rejected b ...
... relation to chi-square and other forms of hypothesis testing statistics • Each of a number of independently variable factors affecting the range of states in which a system may exist, in particular • Degrees of freedom are used to then determine whether a particular null hypothesis can be rejected b ...
Survey Analysis: Options for Missing Data
... the MEPS sample design includes stratification, clustering, multiple stages of selection, and disproportionate sampling. Because of these complex design properties, it is not appropriate to assume simple random sampling for variance estimation. To obtain accurate variance estimates an appropriate te ...
... the MEPS sample design includes stratification, clustering, multiple stages of selection, and disproportionate sampling. Because of these complex design properties, it is not appropriate to assume simple random sampling for variance estimation. To obtain accurate variance estimates an appropriate te ...
1 Theory: The General Linear Model
... (Note that we could take a simple average because the sample otherwise, we would have weighted the variances by sample size). The second estimate of the population variance is much less intuitive but equally valid. This estimate€of σ2 is based on two critical assumptions: (1) the null hypothesis tha ...
... (Note that we could take a simple average because the sample otherwise, we would have weighted the variances by sample size). The second estimate of the population variance is much less intuitive but equally valid. This estimate€of σ2 is based on two critical assumptions: (1) the null hypothesis tha ...
ap statistics summer assignment
... Continuous variables are quantitative variables that can assume an infinite number of values. In the case of continuous variables, the values can generally assume any decimal quantity within a small range of values (even though we may round the answer like when we measure our height). These are typi ...
... Continuous variables are quantitative variables that can assume an infinite number of values. In the case of continuous variables, the values can generally assume any decimal quantity within a small range of values (even though we may round the answer like when we measure our height). These are typi ...