Week_2 - Staff Web Pages
... Theory page 3 • The “best” line would be the one with the smallest total of the residuals • Problem: The residuals can be both positive (line too low) or negative (line too high) so the best line would have a total of zero no matter how good the model was. • Solution: Square the residuals before ...
... Theory page 3 • The “best” line would be the one with the smallest total of the residuals • Problem: The residuals can be both positive (line too low) or negative (line too high) so the best line would have a total of zero no matter how good the model was. • Solution: Square the residuals before ...
APPENDIX 1 BASIC STATISTICS Summarizing Data
... condition that is often difficult to meet. When independent variables are correlated with each other, the statistical hazard that is created is called multicollinearity. In its presence, the coefficients on independent variables can take on unexpected signs (positive instead of negative, for instanc ...
... condition that is often difficult to meet. When independent variables are correlated with each other, the statistical hazard that is created is called multicollinearity. In its presence, the coefficients on independent variables can take on unexpected signs (positive instead of negative, for instanc ...
Math 1231—Fall 2012 Review Sheet for Exam #1 THIS IS NOT
... The Five-Number Summary The 68-95-99.7 rule for Normal distributions Standardized scores (z-scores), cumulative proportions Things you should be able to do: In a given scenario, determine the sample and population, and distinguish between statistics and parameter. Given a description of ho ...
... The Five-Number Summary The 68-95-99.7 rule for Normal distributions Standardized scores (z-scores), cumulative proportions Things you should be able to do: In a given scenario, determine the sample and population, and distinguish between statistics and parameter. Given a description of ho ...
Section 10 - Data Ana+
... If the columns are not contingent on the rows, then the rows and column frequencies are independent. The test of whether the columns are contingent on the rows is called the chi square test of independence. The null hypothesis is that there is no relationship between row and ...
... If the columns are not contingent on the rows, then the rows and column frequencies are independent. The test of whether the columns are contingent on the rows is called the chi square test of independence. The null hypothesis is that there is no relationship between row and ...
an overview of data analysis for researchers
... The group with the disease / characteristic of interest C = Comparison The group without the disease / characteristic of interest O = Outcome (s) The variable we are measuring for both the ‘I’ and ‘C’ groups ...
... The group with the disease / characteristic of interest C = Comparison The group without the disease / characteristic of interest O = Outcome (s) The variable we are measuring for both the ‘I’ and ‘C’ groups ...
M 140 Test 1 A Name__________________ SHOW YOUR WORK
... Therefore, this is an example of Case __II______ . An appropriate graphical display would be:___double bar chart_________________________. c) You want to explore the relationship between work shift (morning, afternoon, night shift) and the number of accidents during the different shifts. The explana ...
... Therefore, this is an example of Case __II______ . An appropriate graphical display would be:___double bar chart_________________________. c) You want to explore the relationship between work shift (morning, afternoon, night shift) and the number of accidents during the different shifts. The explana ...
Chapter 11
... means are statistically different from each other • The dependent variable must be either interval or ratio data • The independent variable(s) must be categorical (i.e. nominal or ordinal) • “One-way ANOVA” means that there is only one independent variable • “n-way ANOVA” means that there is more th ...
... means are statistically different from each other • The dependent variable must be either interval or ratio data • The independent variable(s) must be categorical (i.e. nominal or ordinal) • “One-way ANOVA” means that there is only one independent variable • “n-way ANOVA” means that there is more th ...
Lecture 3 (Jan 20, 2003)
... 1. Label Y-axis with numbers from the minimum to maximum of the data; 2. The upper end of the box is Q1 and lower end is Q3; 3. The line in the middle is the median; 4. Draw a line that extended from Q1 end to the smallest data value that is not further than 1.5*IQR from Q1, draw a line that extende ...
... 1. Label Y-axis with numbers from the minimum to maximum of the data; 2. The upper end of the box is Q1 and lower end is Q3; 3. The line in the middle is the median; 4. Draw a line that extended from Q1 end to the smallest data value that is not further than 1.5*IQR from Q1, draw a line that extende ...
No Slide Title
... • assigning average rank values to tied scores • Score ranks are summed within each group and used to compute a summary statistic “H”, which is compared to a critical value obtained from a X² distribution to test H0: • groups with higher values will have higher summed ranks • if the groups have abou ...
... • assigning average rank values to tied scores • Score ranks are summed within each group and used to compute a summary statistic “H”, which is compared to a critical value obtained from a X² distribution to test H0: • groups with higher values will have higher summed ranks • if the groups have abou ...
Medical Statistic
... The mode is that value in the data that has the highest frequency (i.e. occurs the most often).The mode is not useful with metric continuous data where no two values may be the same. The other shortcoming of this measure is that there may be more than one mode in a set of data. • The median If we ar ...
... The mode is that value in the data that has the highest frequency (i.e. occurs the most often).The mode is not useful with metric continuous data where no two values may be the same. The other shortcoming of this measure is that there may be more than one mode in a set of data. • The median If we ar ...
Location of Packet 1
... 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 relative standing (how much comparison). We can also use ...
... 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 relative standing (how much comparison). We can also use ...
Centrality
... • ΣX indicates “sum of all Xs” • n = the number of scores • Add up the scores, divide by the number of scores • µ (“mu”) for a population mean • X (“x-bar”) or M for a sample mean • The mean is the balance point for all scores in the frequency distribution (Figure 3.3) ...
... • ΣX indicates “sum of all Xs” • n = the number of scores • Add up the scores, divide by the number of scores • µ (“mu”) for a population mean • X (“x-bar”) or M for a sample mean • The mean is the balance point for all scores in the frequency distribution (Figure 3.3) ...
Choosing the Appropriate Statistics
... frequencies is what you would expect If distribution is significantly different from what is expected, then it suggests there is a true difference present Examples ...
... frequencies is what you would expect If distribution is significantly different from what is expected, then it suggests there is a true difference present Examples ...
1st exam review sheet
... Descriptive statistic: is the collection, presentation and description of data in form of ______, ______, and _________________that provide meaningful information about the data. Inferential statistic: deals with the _________ of data as well as drawing ________ and making generalizations based on d ...
... Descriptive statistic: is the collection, presentation and description of data in form of ______, ______, and _________________that provide meaningful information about the data. Inferential statistic: deals with the _________ of data as well as drawing ________ and making generalizations based on d ...
3. Descriptive statistics
... What is the estimated regression equation? We’ll see later in course the formulas for finding the correlation and the “best fitting” regression equation (with possibly several explanatory variables), but for now, try using software such as SPSS to find the answers. ...
... What is the estimated regression equation? We’ll see later in course the formulas for finding the correlation and the “best fitting” regression equation (with possibly several explanatory variables), but for now, try using software such as SPSS to find the answers. ...
1 Random Variables
... The inference procedures in this section deal with four scenarios. (We’ll learn more scenarios later.) • 1-proportion In this scenario we use a random sample of a categorical variable to learn about the proportion in the population that have a specific value (generically called success) for this cat ...
... The inference procedures in this section deal with four scenarios. (We’ll learn more scenarios later.) • 1-proportion In this scenario we use a random sample of a categorical variable to learn about the proportion in the population that have a specific value (generically called success) for this cat ...
File
... 1.1.1 State that error bars are a graphical representation of the variability of data. 1.1.2 calculate the mean and standard deviation of a set of values. 1.1.3 State that the term standard deviation is used to summarize the spread of values around the mean, and that 68% of the values fall wit ...
... 1.1.1 State that error bars are a graphical representation of the variability of data. 1.1.2 calculate the mean and standard deviation of a set of values. 1.1.3 State that the term standard deviation is used to summarize the spread of values around the mean, and that 68% of the values fall wit ...
Exam 1
... 9. Two-way tables - Read what percent in a given category or combination of categories, know when it's appropriate ...
... 9. Two-way tables - Read what percent in a given category or combination of categories, know when it's appropriate ...
Lecture 1: Review and Exploratory Data Analysis (EDA)
... Cumulative Frequency Distribution Tables Show the frequency, the relative frequency, and cumulative frequency of observations Age Interval ...
... Cumulative Frequency Distribution Tables Show the frequency, the relative frequency, and cumulative frequency of observations Age Interval ...
Biostatistics - A Revist (for DT204
... between smokers and non-smokers? Data analysis: Before choosing an appropriate test answer following questions - how many groups being compared? - are they paired or independent (non-related)? - is creatinine (continuous variable) nomally distributed? (To test for normality run a 1 K-S test) ...
... between smokers and non-smokers? Data analysis: Before choosing an appropriate test answer following questions - how many groups being compared? - are they paired or independent (non-related)? - is creatinine (continuous variable) nomally distributed? (To test for normality run a 1 K-S test) ...
Research in Psychology
... Feature: Intensive examination of the behavior and mental processes associated with a specific person, group or situation. Strengths: Provide detailed descriptive analysis of new, complex, or rare phenomenon. Pitfalls: May not provide representative picture of ...
... Feature: Intensive examination of the behavior and mental processes associated with a specific person, group or situation. Strengths: Provide detailed descriptive analysis of new, complex, or rare phenomenon. Pitfalls: May not provide representative picture of ...
Class 11 Data Analysis
... than range. Standard deviation is used in calculation of other statistics such as standard scores and error scores. ...
... than range. Standard deviation is used in calculation of other statistics such as standard scores and error scores. ...
Understanding Data There are three basic concepts necessary to understand data
... Sometimes called indicator variables Many variables of interest in business, economics, and social sciences are not quantitative (continuous), but are qualitative (discrete). Qualitative variables can be modeled by regression but they must represented as dummy variables. Dummy variables are defined ...
... Sometimes called indicator variables Many variables of interest in business, economics, and social sciences are not quantitative (continuous), but are qualitative (discrete). Qualitative variables can be modeled by regression but they must represented as dummy variables. Dummy variables are defined ...
Data Analysis
... is a more accurate and detailed estimate of dispersion because an outlier can greatly exaggerate the range (as was true in this example where the single outlier value of 36 stands apart from the rest of the values. The Standard Deviation shows the relation that set of scores has to the mean of the ...
... is a more accurate and detailed estimate of dispersion because an outlier can greatly exaggerate the range (as was true in this example where the single outlier value of 36 stands apart from the rest of the values. The Standard Deviation shows the relation that set of scores has to the mean of the ...