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Summary Statistics for Premasters DSS Summary Statistics for Premasters DSS Popular
  • Summary Statistics for Premasters DSS

  • Summary • 43 pages
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  • $7.03
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  • Detailed summary of all lectures and additional notes, explanations and examples for the course "Statistics for Premasters DSS" at Tilburg University which is part of the Pre-Master Data Science and Society. Course was given by P.H.G. Hendrix and E. Fukuda during the first semester of the academic year 2021 / 2022 (August to December 2021).
  • Uploaded 21-06-2022
  • by hannahgruber
Summary of Statistics for Pre-master DSS Summary of Statistics for Pre-master DSS Popular
  • Summary of Statistics for Pre-master DSS

  • Summary • 56 pages Popular
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  • Available in bundle
  • The summary of all the covered chapters of the course
  • Uploaded 01-02-2022
  • by adata
Statistics for CSAI 1 Statistics for CSAI 1
MATH 225N Week 5 Lab Assignment MATH 225N Week 5 Lab Assignment
  • MATH 225N Week 5 Lab Assignment

  • Case • 6 pages
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  • MATH 225N Week 5 Lab Assignment MATH 225N Week 5 Lab Assignment Scenario/Summary This week’s lab highlights the use of probability and normal distribution. Follow the directions below to gather data, calculate using Excel spreadsheets, and interpret the results. Steps to Complete Week 5 Lab Use the Weeks 3 and 5 spreadsheets to help you answer the questions below. Step 1: Survey or measure 10 people to find their heights. Determine the mean and standard deviation for thi...
  • Uploaded 16-06-2021
  • by ChrisK0089
MATH 225N Week 5 Lab Assignment MATH 225N Week 5 Lab Assignment
  • MATH 225N Week 5 Lab Assignment

  • Exam (elaborations) • 6 pages
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  • $8.49
  • MATH 225N Week 5 Lab Assignment
  • Uploaded 16-06-2021
  • by PaulMarks
Summary Statistics for programming with R based on study guide Summary Statistics for programming with R based on study guide
  • Summary Statistics for programming with R based on study guide

  • Summary • 11 pages
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  • For the fall midterm of Statistics for CSAI I, this is based on the study guide that was provided by Dr. T. J. Wiltshire. It contains applications of basic R principles, basic statistics (measures of dispersion), how to plot through R and GGplot. Study guide: Types of validity Measurement scales Null vs alternative hypotheses Creating variable names in R Using a working directory and loading data in R Logical and arithmetic operators in R Vector operations Data frame and matrix operatio...
  • Uploaded 14-10-2018
  • by jannebillekens