Univariate analysis - Study guides, Class notes & Summaries

Look at the data. 1) Visualize the data - graphs, histograms, bell curve 2) Compute Univariate Descriptive Statistics: mean (average), mode (most common), median (splits into two equal halves). So ONE Value. 3) Measures of association: connection between the variables in your data. Range: high and low, Quartiles, Variance, Standard Deviation, Correlation coefficients, regression analysis. (this was the click to sales conversions question) Must be attentive to outliers, open-ended and unde...

HESI A2 Anatomy and Physiology. 1. Anatomic position 2. Which of the following is a structure found in the upper respiratory? 3. A person who has damage to their ulnar nerve will have decreases sensation in 4. Which bone dose not articulate with any other bone? 5. Which of the following statements best describe endocrine glands? 6. Diet is important because bone are storage places for 7. Which organ is part of both the male reproductive system and the urinary system? 8. Red blood cell production...

Documenting ETL Requirements - ANSWER-Has three sections: Requirements Summary - what it does, system, and type and frequency Standard: architectural framework, strategy, design conventions, describe the operation flow at the high level and dependencies Job-Level Details: ind. job. Course Chapters - High level Objectives - ANSWER-1) Understanding and Describing Data 2) The Basics of SQL for Analytics 3) SQL for Data Preparation 4) Aggregate Functions for Data Analysis 5) Window Functio...

Main Goal of Statistics correct answers- To provide formal mathematical interpretations to what humans do everyday. Descriptive Statistics correct answerspermit one to organize and summarize data so that the data are more readily comprehended Inferential Statistics correct answerspermit one to draw conclusions about a population based on characteristics of a sample from that population .•Characteristic correct answersAn aspect of a sample or population that one observes for the purpos...

Qualitative Non-numeric or narrative in form Quantitative 1) Numeric, composed of numbers or scores. 2) e.g. blood pressure, weight, age, etc. Variable 1) A characteristic of an individual or group 2) e.g., body temperature, blood pressure, date of birth, or anything else that can be measured Independent Variable 1) Influences the outcome of something; the one you change. In experimental research, this is the variable that is manipulated 2) e.g. placebo vs drug ...

categorial variable - Answer- any variable that can put in to groups. Examples include gender, class in school and color quantative variable - Answer- actual real numbers. This means if it is 2 it actually means 2 something. Examples include age, weight, and GPA. identifier variable - Answer- records a unique value for each case, used to name or identify it bar chart - Answer- A categorical univariate display of data that puts the counts in to bins that look like bars. The bars have no ...

CNUR 860 stats week 101. ANOVA with replication is also known as _______. a. Repeated measures b. Between-group design c. Mixed design d. One-way ANOVA - correct answer a. . When you want to examine the impact of more than one independent variable on the outcome variable, what type of ANOVA should be used? a. Multivariate ANOVA b. Factorial ANOVA c. One-way ANOVA d. Simple ANOVA - correct answer 3. What type of design includes an ANOVA where one factor is repeated and the other is...

Analyses for Data Science: Descriptive: - ANSWER-Humans are good at finding patterns, but limited bandwidth - so we need to narrow the data. Look at the data. 1) Visualize the data - graphs, histograms, bell curve 2) Compute Univariate Descriptive Statistics: mean (average), mode (most common), median (splits into two equal halves). So ONE Value. 3) Measures of association: connection between the variables in your data. Range: high and low, Quartiles, Variance, Standard Deviation, Correlation...

Analyses for Data Science: Descriptive: - ANSWER-Humans are good at finding patterns, but limited bandwidth - so we need to narrow the data. Look at the data. 1) Visualize the data - graphs, histograms, bell curve 2) Compute Univariate Descriptive Statistics: mean (average), mode (most common), median (splits into two equal halves). So ONE Value. 3) Measures of association: connection between the variables in your data. Range: high and low, Quartiles, Variance, Standard Deviation, Correlation...

What is the difference between parametric statistics and nonparametric statistics? - ANS -parametric: normal population with homogeneity of variance, and interval or ratio level data -nonparametric: not normal population with no homogeneity of variance, and nominal or ordinal level data Typically, the dependent variables are __________ or __________ level data in nonparametric statistics, with a sample size ____________ 30. - ANS nominal, ordinal, less than When would yo...