Univariate statistics Study guides, Class notes & Summaries

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...

Data Analytics Exam (2023/24) | All Questions & Answers (Rated A+) Data Analytics Exam (2023/24) | All Questions & Answers (Rated A+) cross validation - ANSWER - you set the number of split datas and it picks the best one of those splits ordered type - ANSWER - specail type of categorical data where there is an order among variables i.e. credit score having an order of poor, average, good, and excellent purpose of descriptive statistics - ANSWER - to summarize and describe large amount...

Data Science Landscape Quiz As a data Journalist, which of the following tasks are most germane to your role? Communication skills Brainpower Read More Which of the following is one of the most fundamental characteristics of a data scientist? Having a sense of curiosity about all things Which of the following are examples of unstructured data? Select all that applies. Facebook images Twitter feeds The Venn diagram that depicts the intersection of Science, Technology...

1. The process whereby social scientists note and record phenomenon in a systematic way is known as: a. experiments b. empirical tests c. content analysis d. observation - correct answer observation 2. Social scientists collect original data through the use of: a. experiments b. observation c. public records d. all of the above - correct answer d. all of the above 3. In the scientific method, ...

Notes on the lectures and seminars from the course (2021) Statistics I: Description and Inference. INCLUDES Q&A lectures, web lectures and seminar notes from week 1-7 (Total: 45 pages).

Analyses for Data Science: Descriptive: - ️️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 ...

which of the following phrases helps identify quantitative variables A) which one B) what group C) which D) how much - Answer- D) HOW MUCH The university uses your student ID number (ex.239) to track you in data bases. What variable type is this? A) identifier B) categorical C) quantitative D) continuous - Answer- A) Identifier, must always be unique, groups of one continuous variable - Answer- can be decimals, quantitative discrete varible - Answer- must be whole numbers, quan...

WGU D204 The Data Analytics Journey Exam Questions and Answers 100% CorrectWGU D204 The Data Analytics Journey Exam Questions and Answers 100% CorrectWGU D204 The Data Analytics Journey Exam Questions and Answers 100% Correct 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 (ave...

2 (More than one) correct answers What is the minimum number of columns required to record relevant scores of a within-participants design on SPSS data sheets. Grouping variable correct answers What is the name for the label given to a participant to identify which condition they are in. Descriptive statistics correct answers The explore function on SPSS can be used to find the WHAT for the data Split the file (SPSS Process: Data>Split File>Organize output by groups) correct ans...

Analyses for Data Science: Descriptive: - 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 coeffi...