Review Unit 2-research -2014-15
... Statistics – using mathematics to organize, summarize, and interpret numerical data – Descriptive statistics (the numbers) organizing and summarizing data (measures of central tendency, measures of variability, and the correlation coefficient) to see if there is a relationship between variables – In ...
... Statistics – using mathematics to organize, summarize, and interpret numerical data – Descriptive statistics (the numbers) organizing and summarizing data (measures of central tendency, measures of variability, and the correlation coefficient) to see if there is a relationship between variables – In ...
Class Reflection #1 (September 6th, 2011)
... Box plot: percentages found within quarters of the boxplot. Central box contains middle 50% of the data. We can miss shape, gaps, mean, and possible bimodal distribution by only examining a boxplot. z-scores and percentiles: z-scores standardize data in different units to allow comparisons of relati ...
... Box plot: percentages found within quarters of the boxplot. Central box contains middle 50% of the data. We can miss shape, gaps, mean, and possible bimodal distribution by only examining a boxplot. z-scores and percentiles: z-scores standardize data in different units to allow comparisons of relati ...
Week 3 - Wei
... • DV (outcome variable):The presumed effect in an experimental study. The values of the dependent variable depend upon another variable, the independent variable. • IV(explanatory variable): The presumed cause in an experimental study. All other variables that may impact the dependent variable are ...
... • DV (outcome variable):The presumed effect in an experimental study. The values of the dependent variable depend upon another variable, the independent variable. • IV(explanatory variable): The presumed cause in an experimental study. All other variables that may impact the dependent variable are ...
Exploring Data
... Individuals – objects described by data. Individuals may be people, animals or objects. Variable – is any characteristic of an individual that can take different values for different individuals. A data set contains information (organized as variables) about some group of individuals. ...
... Individuals – objects described by data. Individuals may be people, animals or objects. Variable – is any characteristic of an individual that can take different values for different individuals. A data set contains information (organized as variables) about some group of individuals. ...
dss222 tutorial kit - Covenant University
... What is Hypothesis? Discuss the types of hypotheses Explain type I and type II error What are the procedures for testing a statistical hypothesis The mean weight of 64 men is 63kg. The mean weight for the population is 60kg, with a standard deviation of 12kg. Is the mean of the sample significantly ...
... What is Hypothesis? Discuss the types of hypotheses Explain type I and type II error What are the procedures for testing a statistical hypothesis The mean weight of 64 men is 63kg. The mean weight for the population is 60kg, with a standard deviation of 12kg. Is the mean of the sample significantly ...
PowerPoint
... • Qualitative variables can be summarized in frequency or relative frequency tables. • Categorical variables can be displayed with bar graphs and/or pie charts. • A contingency table summarizes two variables at a time. From a contingency table we can find the marginal distribution for each variable ...
... • Qualitative variables can be summarized in frequency or relative frequency tables. • Categorical variables can be displayed with bar graphs and/or pie charts. • A contingency table summarizes two variables at a time. From a contingency table we can find the marginal distribution for each variable ...
Introduction: Welcome to HSCI 800
... We say it is skewed in the direction of the longer tail. Thus is can be left/negatively skewed or right/positively skewed. ...
... We say it is skewed in the direction of the longer tail. Thus is can be left/negatively skewed or right/positively skewed. ...
AP Stats - Joule 2.0
... County is $158,000 with a standard deviation of $32,000. If the county supervisors decided to increase everyone’s assessment by $5,000, the new mean and standard deviation would be C – 2. What was the average B C – 3. A distribution is skewed right if – 4. When a constant is added to every data valu ...
... County is $158,000 with a standard deviation of $32,000. If the county supervisors decided to increase everyone’s assessment by $5,000, the new mean and standard deviation would be C – 2. What was the average B C – 3. A distribution is skewed right if – 4. When a constant is added to every data valu ...
Handout - Personal Web Pages
... Mean or Average is affected by extremely small or large values. We say that it is sensitive or nonresistant to the influence of extreme observations. The mean is the balance point of the distribution. In symmetric distributions the mean and median are close together. ...
... Mean or Average is affected by extremely small or large values. We say that it is sensitive or nonresistant to the influence of extreme observations. The mean is the balance point of the distribution. In symmetric distributions the mean and median are close together. ...
M 140 Test 1 B Name__________________ SHOW
... Simpson’s paradox demonstrates that a great deal of care has to be taken when combining small data sets into a large one. Sometimes conclusions from the large data set are exactly the opposite of conclusion from the smaller sets. And this is the case here. The conclusion was reversed as we included ...
... Simpson’s paradox demonstrates that a great deal of care has to be taken when combining small data sets into a large one. Sometimes conclusions from the large data set are exactly the opposite of conclusion from the smaller sets. And this is the case here. The conclusion was reversed as we included ...
Research Methods Chapter 2 - Pine Tree Independent School
... All hypotheses must be testable and falsifiable, or shown to be either supported or incorrect. Falsifiability is the possibility that an assertion can be shown false by ...
... All hypotheses must be testable and falsifiable, or shown to be either supported or incorrect. Falsifiability is the possibility that an assertion can be shown false by ...
MEGN 537 * Probabilistic Biomechanics Ch.3 * Quantifying
... Covariance and Correlation • Covariance indicates the degree of linear relationship between two random variables, denoted as: • Cov(X,Y) = E(XY) – E(X)*E(Y) where E( ) is the expected value • Covariance is the second moment about the respective means • Covariance = 0 for statistically independent e ...
... Covariance and Correlation • Covariance indicates the degree of linear relationship between two random variables, denoted as: • Cov(X,Y) = E(XY) – E(X)*E(Y) where E( ) is the expected value • Covariance is the second moment about the respective means • Covariance = 0 for statistically independent e ...
For questions 1 to 3: Here are data for the 50 states
... e. 20 (Note: this is because the range should be about 4 to 6 standard deviations, based on the empirical rule. The range is just over 40, so the standard deviation is closer to 10 than to any of the other choices.) 3. For the “Population” data, there appears to be an outlier. The most likely reason ...
... e. 20 (Note: this is because the range should be about 4 to 6 standard deviations, based on the empirical rule. The range is just over 40, so the standard deviation is closer to 10 than to any of the other choices.) 3. For the “Population” data, there appears to be an outlier. The most likely reason ...
Quiz 9 - UF-Stat
... 1. A used car lot evaluates their cars on a number of features as they arrive in the lot in order to determine their worth. Among the features looked at are miles per gallon (MPG), make and model (ie. Toyota Camry), number of cylinders, horsepower, weight, and year made. List these variables and sta ...
... 1. A used car lot evaluates their cars on a number of features as they arrive in the lot in order to determine their worth. Among the features looked at are miles per gallon (MPG), make and model (ie. Toyota Camry), number of cylinders, horsepower, weight, and year made. List these variables and sta ...
Statistics - Chandigarh University
... 1. An item with a relatively large price can dominate the index 2. If prices are quoted for different quantities, the simple aggregate index will yield a different answer 3. It does not take into account the quantity of each item sold ...
... 1. An item with a relatively large price can dominate the index 2. If prices are quoted for different quantities, the simple aggregate index will yield a different answer 3. It does not take into account the quantity of each item sold ...
Introduction to Statistics
... Coding numerical variables as factors Retain numbers as categories, or to define new names for the categories ...
... Coding numerical variables as factors Retain numbers as categories, or to define new names for the categories ...
Choosing an Appropriate Statistical Test Procedure
... • Figure out how many variables are involved – If just one variable, decide how many populations (groups) are involved – If two variables, consider nature of variables: interval or categorical School of Information - The University of Texas at Austin LIS 397.1, Introduction to Research in Library an ...
... • Figure out how many variables are involved – If just one variable, decide how many populations (groups) are involved – If two variables, consider nature of variables: interval or categorical School of Information - The University of Texas at Austin LIS 397.1, Introduction to Research in Library an ...
Glossary of Key Data Analysis Terms
... ANOVA (Analysis of Variance) - A method of statistical analysis used to determine differences among the means of two or more groups on a variable. The independent variables are usually nominal, and the dependent variable is usually interval. Causal Relationship – An association between two variables ...
... ANOVA (Analysis of Variance) - A method of statistical analysis used to determine differences among the means of two or more groups on a variable. The independent variables are usually nominal, and the dependent variable is usually interval. Causal Relationship – An association between two variables ...
Proposition 1.1 De Moargan’s Laws
... 1. Draw and label a number line that includes the range of the distribution. 2. Draw a central box from Q1 to Q3. 3. Draw a line for the median. 4. Extend lines (whiskers) from the box to the minimum and maximum values that are not ...
... 1. Draw and label a number line that includes the range of the distribution. 2. Draw a central box from Q1 to Q3. 3. Draw a line for the median. 4. Extend lines (whiskers) from the box to the minimum and maximum values that are not ...
Lecture notes
... Subjects: 25 patients with blisters Treatments: Treatment A, Treatment B, Placebo Measurement: # of days until blisters heal ...
... Subjects: 25 patients with blisters Treatments: Treatment A, Treatment B, Placebo Measurement: # of days until blisters heal ...
notes on Measures of Dispersion, Symmetry and
... to the left. In the case of positive skew the mode and the median are lower values than the mean. When the skew is negative the mean is lower than the median and the mode. Bivariate Statistics Our ultimate objective in econometrics is to determine how some variables are related to others, here we ta ...
... to the left. In the case of positive skew the mode and the median are lower values than the mean. When the skew is negative the mean is lower than the median and the mode. Bivariate Statistics Our ultimate objective in econometrics is to determine how some variables are related to others, here we ta ...
- EdShare
... Count is more flexible than the Dialogue boxes would suggest. Suppose that you wanted to build a variable, called total, from correct answers to various questions (q1, q2, q3 etc.) and that some answers were given more marks than others. Count can be used for this but only by directly typing the com ...
... Count is more flexible than the Dialogue boxes would suggest. Suppose that you wanted to build a variable, called total, from correct answers to various questions (q1, q2, q3 etc.) and that some answers were given more marks than others. Count can be used for this but only by directly typing the com ...
Review Session
... =upper limit of above category =lower limit + width = rounded max Count numbers Remember to verify the total frequency = sample size BUS304 – Review Chapter 1-5 ...
... =upper limit of above category =lower limit + width = rounded max Count numbers Remember to verify the total frequency = sample size BUS304 – Review Chapter 1-5 ...
M 140 Test 1 B Name__________________ SHOW
... 10. Consider the following data set: 2 3 5 7 8 10 12 15 20 31. According to the 1.5(IQR) rule, a) only 2 is an outlier. b) only 31 is an outlier. c) both 2 and 31 are outliers. d. there are no outliers. ...
... 10. Consider the following data set: 2 3 5 7 8 10 12 15 20 31. According to the 1.5(IQR) rule, a) only 2 is an outlier. b) only 31 is an outlier. c) both 2 and 31 are outliers. d. there are no outliers. ...