StatsforScience08.0001.29d7.bak
... the smallest values in the dataset i.e. the maximum difference between data-points in the list. ...
... the smallest values in the dataset i.e. the maximum difference between data-points in the list. ...
The Practice of Statistics
... 2. A variable (IT IS NOT X) is … 3. When you first meet a new data set, ask yourself: ...
... 2. A variable (IT IS NOT X) is … 3. When you first meet a new data set, ask yourself: ...
Lecture 13. Measuring of correlation
... size of another sign associated with the first one (for example, it is known that the height and mass of man’s body are linked between each other; in the group of persons with identical height there are different valuations of mass of body, however, these valuations of body mass varies in certain si ...
... size of another sign associated with the first one (for example, it is known that the height and mass of man’s body are linked between each other; in the group of persons with identical height there are different valuations of mass of body, however, these valuations of body mass varies in certain si ...
Linear Transformations and Linear Composites
... We can make the case somewhat more general by assuming that we add a residual, U , that is actually a random number taken from a standard normal distribution with mean of 0 and standard deviation of 1. The equation for the new variable is Y = a + b1X1 + b2 X2 +...b pXp + uU . (If this business of th ...
... We can make the case somewhat more general by assuming that we add a residual, U , that is actually a random number taken from a standard normal distribution with mean of 0 and standard deviation of 1. The equation for the new variable is Y = a + b1X1 + b2 X2 +...b pXp + uU . (If this business of th ...
Determining Probabilities Under the Normal Curve
... So far we have looked at boundaries for shaded regions under the normal curves; they have been exactly one or two standard deviations away from the mean. However, an individual’s z-score in any kind of continuous probability distribution can equal a decimal value that is between or beyond these whol ...
... So far we have looked at boundaries for shaded regions under the normal curves; they have been exactly one or two standard deviations away from the mean. However, an individual’s z-score in any kind of continuous probability distribution can equal a decimal value that is between or beyond these whol ...
Glossary of statistical terms
... Confidence interval A confidence interval gives an estimated range of values that is likely to include an unknown population parameter. For example suppose a study of planting dates for maize, and the interest is in estimating the upper quartile, i.e. the date by which a farmer will be able to plant ...
... Confidence interval A confidence interval gives an estimated range of values that is likely to include an unknown population parameter. For example suppose a study of planting dates for maize, and the interest is in estimating the upper quartile, i.e. the date by which a farmer will be able to plant ...
Graphical Descriptive Techniques
... – “without data, ours is just another opinion” – “without statistics, we are just another person on data overload” • Because of its broad usage across disciplines, Statistics is probably the most useful course irrespective of major. – More data, properly analyzed allows for better decisions in perso ...
... – “without data, ours is just another opinion” – “without statistics, we are just another person on data overload” • Because of its broad usage across disciplines, Statistics is probably the most useful course irrespective of major. – More data, properly analyzed allows for better decisions in perso ...
Test 2 RM - Chaps 9&5 Organizing Data
... Statistical inference is a technique to make decisions regarding the probability that the population would behave in the same way as the sample. As it is based on probability, then the rules of probability must be followed. Therefore, the assumptions which must be met are: 1) Randomness: the predict ...
... Statistical inference is a technique to make decisions regarding the probability that the population would behave in the same way as the sample. As it is based on probability, then the rules of probability must be followed. Therefore, the assumptions which must be met are: 1) Randomness: the predict ...
Descriptive Statistics
... category. It is called a 3 X 3 table because there are 3 rows and 3 columns in the table corresponding to the three different levels of taste and type respectively. The second number in each “cell” of the table is the Row % which gives the percent of hotdogs in each taste category within type. The T ...
... category. It is called a 3 X 3 table because there are 3 rows and 3 columns in the table corresponding to the three different levels of taste and type respectively. The second number in each “cell” of the table is the Row % which gives the percent of hotdogs in each taste category within type. The T ...
Missing Data and Imputation Strategies
... be predicted using the other data available for an observation. In these instances, you may want to assign a categorical value (when the variable is categorical) with an indicator of “MISSING” to identify these observations differently. 3) Missing that depends upon latent variables. For example, the ...
... be predicted using the other data available for an observation. In these instances, you may want to assign a categorical value (when the variable is categorical) with an indicator of “MISSING” to identify these observations differently. 3) Missing that depends upon latent variables. For example, the ...
The empirical (68-95
... The marks of STA221 students has N(65, 15) distribution. Find the proportion of students having marks (a) less then 50. (b) greater than 80. (c) between 50 and 80. ...
... The marks of STA221 students has N(65, 15) distribution. Find the proportion of students having marks (a) less then 50. (b) greater than 80. (c) between 50 and 80. ...
Introduction to R and R-Studio
... If trim is zero (the default), the arithmetic mean of the values in x is computed, as a numeric or complex vector of length one. If x is not logical (coerced to numeric), numeric (including integer) or complex, NA_real_ is returned, with a warning. If trim is non-zero, a symmetrically trimmed mean i ...
... If trim is zero (the default), the arithmetic mean of the values in x is computed, as a numeric or complex vector of length one. If x is not logical (coerced to numeric), numeric (including integer) or complex, NA_real_ is returned, with a warning. If trim is non-zero, a symmetrically trimmed mean i ...
Lec4 - NCSU Statistics
... – Mode is not unique. – Mode is defined for categorical variables also. • The choice depends on the shape of the distribution, the type of data and the purpose of your study – Skewed: median – Categorical: mode – Total quantity: mean ...
... – Mode is not unique. – Mode is defined for categorical variables also. • The choice depends on the shape of the distribution, the type of data and the purpose of your study – Skewed: median – Categorical: mode – Total quantity: mean ...
THE MEAN - Gordon State College
... The midrange of a data set is the measure of center that is the value midway between the highest and lowest values of the original data set. It is found by adding the highest data value and the lowest data value and then dividing by 2; that is, highest value lowest value midrange ...
... The midrange of a data set is the measure of center that is the value midway between the highest and lowest values of the original data set. It is found by adding the highest data value and the lowest data value and then dividing by 2; that is, highest value lowest value midrange ...
Lesson 7: ! Statistical basics I! Plan! Useful resources! 1. Types of
... variable in our sample if we knew the score of some independent variable? Covariation coefficients answer this question! Is the covariation statistically significant? Is it due to chance, or is it likely to exist in the overall population to which we want to generalize? Statistical tests answer this ...
... variable in our sample if we knew the score of some independent variable? Covariation coefficients answer this question! Is the covariation statistically significant? Is it due to chance, or is it likely to exist in the overall population to which we want to generalize? Statistical tests answer this ...
Powerpoint - Marshall University Personal Web Pages
... Is Age a continuous or discrete variable? – Age is really a continuous (ratio) variable: it's the amount of time elapsed since birth. However, it is often collected as a discrete variable, by rounding down to a whole number of years. The imprecision in this rounding is usually insignificant, since e ...
... Is Age a continuous or discrete variable? – Age is really a continuous (ratio) variable: it's the amount of time elapsed since birth. However, it is often collected as a discrete variable, by rounding down to a whole number of years. The imprecision in this rounding is usually insignificant, since e ...
Random Variables
... Often in statistics we take a sample (SRSindependent) and we find the mean of the values in the sample. Population Take a sample. All sampled values come from the same population. Typically we take one sample from a population. In theory if we take many samples and find all the sample means, ...
... Often in statistics we take a sample (SRSindependent) and we find the mean of the values in the sample. Population Take a sample. All sampled values come from the same population. Typically we take one sample from a population. In theory if we take many samples and find all the sample means, ...
Unit 2 Research and Methodology - Teacher
... In a study conducted on depression, some patients were given an anti-depressant and others were given a placebo to test whether the drug reduced suicidal thoughts. What is the independent variable in this study? ...
... In a study conducted on depression, some patients were given an anti-depressant and others were given a placebo to test whether the drug reduced suicidal thoughts. What is the independent variable in this study? ...
Research Methods in Crime and Justice
... Getting to the Point • The analysis of variance (ANOVA) model allows analysts to compare two or more groups to see if they are different with respect to a single variable measured at the interval or ratio level. • An ANOVA produces an F-ratio statistic. • If the statistical significance of the F-ra ...
... Getting to the Point • The analysis of variance (ANOVA) model allows analysts to compare two or more groups to see if they are different with respect to a single variable measured at the interval or ratio level. • An ANOVA produces an F-ratio statistic. • If the statistical significance of the F-ra ...
File
... - back-to-back stemplots - histograms made using the same scale - side-by-side boxplots – be sure to label which one is which - compare shape, center, and spread Categorical (Qualitative) Variables Graphs - pie - bar (bars do not touch!) - make tables of counts, proportions, or percents for each c ...
... - back-to-back stemplots - histograms made using the same scale - side-by-side boxplots – be sure to label which one is which - compare shape, center, and spread Categorical (Qualitative) Variables Graphs - pie - bar (bars do not touch!) - make tables of counts, proportions, or percents for each c ...
Chapter 1 Exploring Data
... • Take zip code for example. It describes a location in which you live. This is really a categorical variable. It wouldn’t make sense to find the average zip code. • Another example would be social security number. You could just as easily use letters instead of numbers to represent someone’s identi ...
... • Take zip code for example. It describes a location in which you live. This is really a categorical variable. It wouldn’t make sense to find the average zip code. • Another example would be social security number. You could just as easily use letters instead of numbers to represent someone’s identi ...
AP Statistics Review – Chapter 1
... Circle the letter for the statement that is the best answer for each multiple choice question and then write the letter in the margin to the left of your paper. Remember to do both. 1. In the display of distributions A and B, which has the larger mean and which has the larger standard deviation? (a) ...
... Circle the letter for the statement that is the best answer for each multiple choice question and then write the letter in the margin to the left of your paper. Remember to do both. 1. In the display of distributions A and B, which has the larger mean and which has the larger standard deviation? (a) ...
Two Methods to Merge Data onto Every Observation in Another Dataset
... use PROC C SQL if they arre unfamiliar wiith it. As with the e If _N_=1 Set method, we mu ust first begin by b calculating tthe means and standard deviation for the Time1 and Time2 variables. In the t SAS Code example below w, note that the e format statem ment is not nece essary, but it h helps to ...
... use PROC C SQL if they arre unfamiliar wiith it. As with the e If _N_=1 Set method, we mu ust first begin by b calculating tthe means and standard deviation for the Time1 and Time2 variables. In the t SAS Code example below w, note that the e format statem ment is not nece essary, but it h helps to ...