The 5 per cent trimmed mean - United Nations Office on Drugs and
... • Add the values in the data set and divide by the number of values • The mean is only truly applicable to interval and ratio data, as it involves adding the variables • It is sometimes applied to ordinal data or ordinal scales constructed from a number of Likert scales, but this requires the assump ...
... • Add the values in the data set and divide by the number of values • The mean is only truly applicable to interval and ratio data, as it involves adding the variables • It is sometimes applied to ordinal data or ordinal scales constructed from a number of Likert scales, but this requires the assump ...
Document
... • Add the values in the data set and divide by the number of values • The mean is only truly applicable to interval and ratio data, as it involves adding the variables • It is sometimes applied to ordinal data or ordinal scales constructed from a number of Likert scales, but this requires the assump ...
... • Add the values in the data set and divide by the number of values • The mean is only truly applicable to interval and ratio data, as it involves adding the variables • It is sometimes applied to ordinal data or ordinal scales constructed from a number of Likert scales, but this requires the assump ...
SPSS notes: July Support sessions
... Similar to the t-test but used when there are more than 2 groups and you wish to compare their mean scores on a continuous variable Called one way – looking at the impact of one independent variable on the dependent variable Will let you know whether the groups differ but will not tell you whe ...
... Similar to the t-test but used when there are more than 2 groups and you wish to compare their mean scores on a continuous variable Called one way – looking at the impact of one independent variable on the dependent variable Will let you know whether the groups differ but will not tell you whe ...
statistics_unit
... Controlled Variables: Even though some experiments don’t have a Control Group, all good experiments have Controlled Variables. These are the variables that could affect the Dependent Variable (in this example plant growth) other than the Independent ...
... Controlled Variables: Even though some experiments don’t have a Control Group, all good experiments have Controlled Variables. These are the variables that could affect the Dependent Variable (in this example plant growth) other than the Independent ...
Intro to confidence intervals
... • Can be represented by names of categories or by numbers used to represent these groupings • Within each group, subjects are homogeneous in terms of the variable • Groupings must be mutually exclusive • Groupings should be exhaustive - all subjects fall into one of the categories • Representations ...
... • Can be represented by names of categories or by numbers used to represent these groupings • Within each group, subjects are homogeneous in terms of the variable • Groupings must be mutually exclusive • Groupings should be exhaustive - all subjects fall into one of the categories • Representations ...
QUANTITATIVE VERSUS QUALITATIVE RESEARCH
... So…ratio data should be obtained at the data collection level whenever possible, depending on the analysis planned. The scale of data should be considered before applying statistical processes, in fact, as part of the research design. Dichotomous Variables Many social science variables are binary. E ...
... So…ratio data should be obtained at the data collection level whenever possible, depending on the analysis planned. The scale of data should be considered before applying statistical processes, in fact, as part of the research design. Dichotomous Variables Many social science variables are binary. E ...
HM1 key
... This distribution tells you that the majority of districts in Switzerland in 1888 were either highly Catholic or highly non-Catholic (i.e., highly Protestant). The religious groups were likely divided in different regions of the country. Also, you can see that Catholic makes up less than 50% of the ...
... This distribution tells you that the majority of districts in Switzerland in 1888 were either highly Catholic or highly non-Catholic (i.e., highly Protestant). The religious groups were likely divided in different regions of the country. Also, you can see that Catholic makes up less than 50% of the ...
what is statistics?
... We can see that 70 occurs three times while the next highest occurrence is seen only two times. Therefore, 70 is the mode. Note, this doesn’t tell us very much about the set of data as a whole. Also note, there can be no mode or multiple modes. ...
... We can see that 70 occurs three times while the next highest occurrence is seen only two times. Therefore, 70 is the mode. Note, this doesn’t tell us very much about the set of data as a whole. Also note, there can be no mode or multiple modes. ...
ANOVA notes
... • Fixed: data are collected on all categories of independent variables. • Factors with all category values included are "fixed factors." • Random effect ("Model II"), data collected only for a partial sample of categories. • One-way ANOVA: computation of F is the same for fixed and random effects • ...
... • Fixed: data are collected on all categories of independent variables. • Factors with all category values included are "fixed factors." • Random effect ("Model II"), data collected only for a partial sample of categories. • One-way ANOVA: computation of F is the same for fixed and random effects • ...
Document
... An observed relationship is statistically significant if the chances of observing the relationship in the sample when there is no actual relationship in the population are small (usually less than 5%) In other words, a relationship is statistically significant if that relationship is stronger th ...
... An observed relationship is statistically significant if the chances of observing the relationship in the sample when there is no actual relationship in the population are small (usually less than 5%) In other words, a relationship is statistically significant if that relationship is stronger th ...
MAT201 Sample Test 1 (Spring 2017)
... c. classify the value 1.2 as an outlier because it is more than 1.5 × IQR’s below the median. d. classify the value 1.2 as an outlier because it is more than 1.5 × IQR’s below the mean. 14. Calculate the sample variance of the data set {2, 4, 9, 11, 13, 15} by using the table method you learned in c ...
... c. classify the value 1.2 as an outlier because it is more than 1.5 × IQR’s below the median. d. classify the value 1.2 as an outlier because it is more than 1.5 × IQR’s below the mean. 14. Calculate the sample variance of the data set {2, 4, 9, 11, 13, 15} by using the table method you learned in c ...
class 13 stats review
... that scores above the mean flip over to below the mean, and vice versa. Fix: First, preliminary transform by changing each score to highest score minus the target score. Do it all at same time by 1/(Xhighest – X). 4. Correcting negative skew: All steps work on neg. skew, but first must reverse score ...
... that scores above the mean flip over to below the mean, and vice versa. Fix: First, preliminary transform by changing each score to highest score minus the target score. Do it all at same time by 1/(Xhighest – X). 4. Correcting negative skew: All steps work on neg. skew, but first must reverse score ...
What is Test Theory?
... when quantitative value is given to a behavior. See Exercise 1 & 2 on P.14 ...
... when quantitative value is given to a behavior. See Exercise 1 & 2 on P.14 ...
2 Statistical Theory and Methods
... only measure of central tendency. A further disadvantage of the mode is that many distributions have more than one mode; these distributions are called multimodal. The mean score is considered the most robust of the three types of central tendency because each number in the data set has an impact on ...
... only measure of central tendency. A further disadvantage of the mode is that many distributions have more than one mode; these distributions are called multimodal. The mean score is considered the most robust of the three types of central tendency because each number in the data set has an impact on ...
Lecture 2
... Example 2: Adding categorical variable/grouping (region): e is for northeastern states and m is for midwestern states (others excluded). ...
... Example 2: Adding categorical variable/grouping (region): e is for northeastern states and m is for midwestern states (others excluded). ...
Introduction to hypothesis testing
... Discrete: One that can take any value of an exact list (often finite), ...
... Discrete: One that can take any value of an exact list (often finite), ...
Wednesday, August 11 (131 minutes)
... When describing the distribution of a quantitative variable, what characteristics should be addressed? ...
... When describing the distribution of a quantitative variable, what characteristics should be addressed? ...
Test 1
... median of 7 minutes, and a standard deviation of 8 minutes. Sketch a histogram describing the distribution of the amount of time it takes these workers to complete this task. Mark the following values on the sketch: The approximate smallest time, the approximate largest time, the mean time, and the ...
... median of 7 minutes, and a standard deviation of 8 minutes. Sketch a histogram describing the distribution of the amount of time it takes these workers to complete this task. Mark the following values on the sketch: The approximate smallest time, the approximate largest time, the mean time, and the ...
Chapter 3
... “In section 2.5, scatter diagrams are used to .. yadda yadda “ Scatter Diagrams were discussed in Section 2.3 Recall: Scatter Diagram – graphically displays bivariate (two variables) numerical data. Coefficient of correlation (r) – numerical description for measuring the strength of the relationshi ...
... “In section 2.5, scatter diagrams are used to .. yadda yadda “ Scatter Diagrams were discussed in Section 2.3 Recall: Scatter Diagram – graphically displays bivariate (two variables) numerical data. Coefficient of correlation (r) – numerical description for measuring the strength of the relationshi ...
CHAPTER 6: LINEAR PROGRAMMING
... middle 50% of the data values varies • To define the quartiles: – Q1 : the value of the variable that divides the distribution 25% to the left and 75% to the right. – Q2 :the value of the variable that divides the distribution 50% to the left and 50% to the right. – Q3 :the value of the variable tha ...
... middle 50% of the data values varies • To define the quartiles: – Q1 : the value of the variable that divides the distribution 25% to the left and 75% to the right. – Q2 :the value of the variable that divides the distribution 50% to the left and 50% to the right. – Q3 :the value of the variable tha ...
Revision of Preparing For The AP Statistics Exam
... interval widths equal before we tell them to set the height equal to the frequency (meaning if the interval widths are not equal than this is the wrong thing to do)… Maybe say “consistency in applying the decision for the entire data set is the key.” p. 12, example 4, how-to tip #2, do you mean “off ...
... interval widths equal before we tell them to set the height equal to the frequency (meaning if the interval widths are not equal than this is the wrong thing to do)… Maybe say “consistency in applying the decision for the entire data set is the key.” p. 12, example 4, how-to tip #2, do you mean “off ...
Visualizations
... Measures the degree to which the values are symmetrically distributed about the center ...
... Measures the degree to which the values are symmetrically distributed about the center ...
3/24 - MegCherry.com
... Multiply the square by the number of observations in the group. Add all of the results to get the mean square Calculate the degrees of freedom- the number of groups minus 1 Divide the mean square by the degrees of freedom ...
... Multiply the square by the number of observations in the group. Add all of the results to get the mean square Calculate the degrees of freedom- the number of groups minus 1 Divide the mean square by the degrees of freedom ...
Homework 7: Three Interval Tests
... if either of the variables (dependent or independent) is interval, crosstabs won’t work – partly because the size of the table makes it difficult to summarize, as you saw in the output for homework 5. Instructions: For this assignment, you will be using the data file 3Tests.sav to examine variation ...
... if either of the variables (dependent or independent) is interval, crosstabs won’t work – partly because the size of the table makes it difficult to summarize, as you saw in the output for homework 5. Instructions: For this assignment, you will be using the data file 3Tests.sav to examine variation ...