Econ415_data_descriptive_stats
... = TSS / (n – 1). The sample standard deviation is s = s2. The sample coefficient of variation is CV = (s / xbar)100. Comparison of Measures of Dispersion The range is the least used measure because it wastes information about dispersion. Larger values of variation (TSS), variance (s2), and standar ...
... = TSS / (n – 1). The sample standard deviation is s = s2. The sample coefficient of variation is CV = (s / xbar)100. Comparison of Measures of Dispersion The range is the least used measure because it wastes information about dispersion. Larger values of variation (TSS), variance (s2), and standar ...
Measures of Central Tendency
... distributions are said to be skewed, i.e., more than half the cases are either above or below the mean. Below are some exercises that illustrate the relationship between mean, median, and mode in skewed distributions. In each exercise you will be asked to modify a histogram that satisfies certain co ...
... distributions are said to be skewed, i.e., more than half the cases are either above or below the mean. Below are some exercises that illustrate the relationship between mean, median, and mode in skewed distributions. In each exercise you will be asked to modify a histogram that satisfies certain co ...
Simplified Statistics - Laboratory Animal Boards Study Group
... censored (when the value of a measurement or observation is only partially known) as this will decrease the statistical options available (see flowchart in Figure 1). If the data is not censored, the next step is to consider whether percentages, means, or distributions are being compared or if relat ...
... censored (when the value of a measurement or observation is only partially known) as this will decrease the statistical options available (see flowchart in Figure 1). If the data is not censored, the next step is to consider whether percentages, means, or distributions are being compared or if relat ...
Chapter 1: Looking at Data Section 1.1: Displaying Distributions with
... Try not to have too many intervals containing either 0 or 1 data values. Do not use too few intervals such that you lose all of the information. Do not make the graph so detailed that it is no longer a summary. ...
... Try not to have too many intervals containing either 0 or 1 data values. Do not use too few intervals such that you lose all of the information. Do not make the graph so detailed that it is no longer a summary. ...
2_Describing%20%26%20Explaining%20Quantitative%20Data
... Ethics Board (BREB) UBC, data circulated in this course cannot be used for purposes other than the learning activities required by this course, unless they are open to public use. ...
... Ethics Board (BREB) UBC, data circulated in this course cannot be used for purposes other than the learning activities required by this course, unless they are open to public use. ...
week3
... 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. ...
Chapter 3
... -- descriptive measures of the relationship between 2 variables Covariance -- measure of linear association between 2 variables -- positive values indicate a positive linear relationship (as x inc, y inc) negative values indicate a negative linear relationship (as x inc, y dec) -- points evenly dist ...
... -- descriptive measures of the relationship between 2 variables Covariance -- measure of linear association between 2 variables -- positive values indicate a positive linear relationship (as x inc, y inc) negative values indicate a negative linear relationship (as x inc, y dec) -- points evenly dist ...
Basic concepts and notions
... value of them all? The answer is nine. You know there are 10 cards and you know the sum of their values. By deducting the values of the first 9 cards from sixty, you can determine the value of the final card. Alternatively, consider a data set containing n = 10 observation for which the mean is know ...
... value of them all? The answer is nine. You know there are 10 cards and you know the sum of their values. By deducting the values of the first 9 cards from sixty, you can determine the value of the final card. Alternatively, consider a data set containing n = 10 observation for which the mean is know ...
SPSS PC Version 10: T-Test - Differences between Means1 It is
... that the independent samples we are comparing are drawn from populations with an equal amount of variability on the variable we are interested in. You'll notice, however, that the calculation of the standard error when equal variances are not assumed actually yields a larger estimate of the standard ...
... that the independent samples we are comparing are drawn from populations with an equal amount of variability on the variable we are interested in. You'll notice, however, that the calculation of the standard error when equal variances are not assumed actually yields a larger estimate of the standard ...
Reading assignment: SAS textbook, Chapter 2
... STD='Standard deviation' (5.2); QQPLOT HEIGHT; PROBPLOT HEIGHT; RUN; ...
... STD='Standard deviation' (5.2); QQPLOT HEIGHT; PROBPLOT HEIGHT; RUN; ...
- MediPIET
... – Nominal: Observations can take a value that is not able to be organized in a logical sequence like sex or eye color – Ordinal: Observations can take a value that can be logically ordered from lowest to highest like clothing size (i.e. small, medium, large) ...
... – Nominal: Observations can take a value that is not able to be organized in a logical sequence like sex or eye color – Ordinal: Observations can take a value that can be logically ordered from lowest to highest like clothing size (i.e. small, medium, large) ...
Research Methods - Solon City Schools
... from the mean and place them on the graph Step 4: calculating the % of students who scored within a range of scores by finding the corresponding scores on the curve, then add the percentages from each standard deviation. ...
... from the mean and place them on the graph Step 4: calculating the % of students who scored within a range of scores by finding the corresponding scores on the curve, then add the percentages from each standard deviation. ...
c e d b a a d c e b
... 1-3. Each toaster in a random sample of 250 is tested to determine whether or not it is defective. “Defective” versus “Non-defective” is a classification into two categories; hence the correct answer is (d). ...
... 1-3. Each toaster in a random sample of 250 is tested to determine whether or not it is defective. “Defective” versus “Non-defective” is a classification into two categories; hence the correct answer is (d). ...
Types of Data Analysis - Vanderbilt Biostatistics Wiki
... on the old formulation.” CANNOT STATE: “There’s a 95% probability that mean total cholesterol on this new statin will be 10 to 20 mg/dl lower than on the old formulation.” ...
... on the old formulation.” CANNOT STATE: “There’s a 95% probability that mean total cholesterol on this new statin will be 10 to 20 mg/dl lower than on the old formulation.” ...
ONE-WAY TABULATION
... There are four possible alternatives; each which will lead you down the appropriate path for choosing the correct analytical technique. If the goal of the analysis is to determine the “average” response (the measure of central tendency) or understand the distribution of responses (measures of vari ...
... There are four possible alternatives; each which will lead you down the appropriate path for choosing the correct analytical technique. If the goal of the analysis is to determine the “average” response (the measure of central tendency) or understand the distribution of responses (measures of vari ...
Introduction to T-tests
... variables. It focuses on the relationship between a dependent variable and on or more independent variables. Therefore, regression analysis was the inferential procedure used in this assignment. Per Howell (2011), assuming there is not a significant difference between the population mean and the sam ...
... variables. It focuses on the relationship between a dependent variable and on or more independent variables. Therefore, regression analysis was the inferential procedure used in this assignment. Per Howell (2011), assuming there is not a significant difference between the population mean and the sam ...
Relationships Between Quantitative Variables
... Suppose you are comparing two job offers, and one of your considerations is the cost of living in each area. You get the local newspapers and record the price of 50 advertised apartments for each community. What descriptive statistic of the rent values for each community would you need in order to m ...
... Suppose you are comparing two job offers, and one of your considerations is the cost of living in each area. You get the local newspapers and record the price of 50 advertised apartments for each community. What descriptive statistic of the rent values for each community would you need in order to m ...
Distribution William Simpson 11th April 2014
... Likert scale • These “numbers” are not really numbers • Therefore cannot do operations like subtraction, division, sqrt • Use IQR ...
... Likert scale • These “numbers” are not really numbers • Therefore cannot do operations like subtraction, division, sqrt • Use IQR ...
Understanding Statistical Language
... The p-value has come to be a very important statistic in the social sciences and can be found in conjunction with most other statistics. The p-value is based on the probability that a given effect is larger than would be expected by chance, so small p-values are desirable. In most research, a standa ...
... The p-value has come to be a very important statistic in the social sciences and can be found in conjunction with most other statistics. The p-value is based on the probability that a given effect is larger than would be expected by chance, so small p-values are desirable. In most research, a standa ...
Distributions & Graphs - University of South Florida
... different values (e.g., anger). A distribution is a collection of measures, usually across people. Distributions of numbers can be summarized with numbers (called statistics or parameters). ...
... different values (e.g., anger). A distribution is a collection of measures, usually across people. Distributions of numbers can be summarized with numbers (called statistics or parameters). ...
Descriptive statistics 2012_13
... If the data falls in the shaded negative tail of 8.6 - the scores are lower than the population and the null hypothesis is rejected ...
... If the data falls in the shaded negative tail of 8.6 - the scores are lower than the population and the null hypothesis is rejected ...
session 3 ppt
... The correlation coefficient lies between -1 & +1 symbolically ( - 1≤ r ≥ 1 ) The correlation coefficient is independent of the change of origin & scale. The coefficient of correlation is the geometric mean of two regression coefficient. r = √ bxy * byx The one regression coefficient is (+ve) ot ...
... The correlation coefficient lies between -1 & +1 symbolically ( - 1≤ r ≥ 1 ) The correlation coefficient is independent of the change of origin & scale. The coefficient of correlation is the geometric mean of two regression coefficient. r = √ bxy * byx The one regression coefficient is (+ve) ot ...
Exploratory data analysis (Chapter 2)
... Histograms are a more general tool for displaying the distribution of quantitative variables. A histogram is a bar graph of counts of observations in each class, but no space is drawn between classes. If classes are of different widths, the bars should be drawn so that areas are proportional to freq ...
... Histograms are a more general tool for displaying the distribution of quantitative variables. A histogram is a bar graph of counts of observations in each class, but no space is drawn between classes. If classes are of different widths, the bars should be drawn so that areas are proportional to freq ...
Question 2
... determine the mean diameter of pine trees on land that is being considered for purchase. Past data suggests that the standard deviation of the trees on this land is 6.35 cm. If Ron wants to estimate the mean diameter to within 1 cm with 95% confidence, how many trees should be included in the sample ...
... determine the mean diameter of pine trees on land that is being considered for purchase. Past data suggests that the standard deviation of the trees on this land is 6.35 cm. If Ron wants to estimate the mean diameter to within 1 cm with 95% confidence, how many trees should be included in the sample ...