Inter quartile range - Study guides, Study notes & Summaries

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Statistics final wgu academy exam questions and answers
  • Statistics final wgu academy exam questions and answers

  • Exam (elaborations) • 7 pages • 2024
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  • Statistics final wgu academy exam questions and answers Categorical variables that there is no natural order among the categories - Answer- nominal variables Categorical variables where there is natural order among the categories (low-high) - Answer- ordinal variable A measurement which makes sense to talk about the difference between values but not the ratio between values - Answer- interval Quantitive variables where is makes sense to talk about the difference in ratios. (Income, weig...
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WGU C207 Questions and Answers 2022/2023
  • WGU C207 Questions and Answers 2022/2023

  • Exam (elaborations) • 28 pages • 2023
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  • WGU C207 Questions and Answers 2022/2023 What is the key focus on analysis? To predict trends using quantitative data. What are the four levels of measurement? 1. Nominal 2. Ordinal 3. Interval 4. Ratio Nominal data is categorical. It has no numerical value. It's not a number. Examples: -the types of pizza you sell -meatball -veggie -cheese (these are labels, they can't be added or subtracted) Ordinal data is ranked, but doesn't have a specific value. Examp...
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NCEA Level 1 Chance and Data Questions and Answers 2023
  • NCEA Level 1 Chance and Data Questions and Answers 2023

  • Exam (elaborations) • 1 pages • 2023
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  • NCEA Level 1 Chance and Data Questions and Answers 2023 Minimum Lowest value in a sample Lower Quartile Middle number between minimum and the median Median Middle number in a set of data Mode The number that appears most often Upper Quartile Middle number between median and maximum Inter-quartile range (IQR) The numbers between the lower quartile and upper quartile Range All the numbers in the data, from the minimum to the maximum Mean Av...
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WGU C207 Final Self-Assessment 2023- 100% verified Q&A Latest update
  • WGU C207 Final Self-Assessment 2023- 100% verified Q&A Latest update

  • Exam (elaborations) • 60 pages • 2023
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  • Amanda is measuring the temperature. She looks at the thermometer and sees that it is somewhere between 65 and 66 degrees Fahrenheit. She is okay with the temperature in between two integers because she knows temperature is not ________ data, but temperature is _________ data.  a) Nominal, Ordinal  b) Nominal, Discrete  c) Continuous, Discrete  d) Discrete, Continuous Feedback: The correct answer is D. Temperature is not a measure that comes in increments (discrete) but is co...
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Statistics final wgu academy  Questions And Answers With Correct Solutions
  • Statistics final wgu academy Questions And Answers With Correct Solutions

  • Exam (elaborations) • 5 pages • 2024
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  • WGU STatistics Test nominal variables - ANS Categorical variables that there is no natural order among the categories ordinal variable - ANS Categorical variables where there is natural order among the categories (low-high) interval - ANS A measurement which makes sense to talk about the difference between values but not the ratio between values ratio - ANS Quantitive variables where is makes sense to talk about the difference in ratios. (Income, weigh...
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Wgu C207 quiz with 100% correct answers
  • Wgu C207 quiz with 100% correct answers

  • Exam (elaborations) • 8 pages • 2023
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  • Descriptive and Inferential There are two types of statistics (Analytics) Inform / Explanatory Descriptive statistics are used to ______ Predict / Trend Inferential statistics are used to ______ (NOIR) Nominal, Ordinal, Interval Ratio Name the 4 levels of measurement Ratio Continuous data with unique zero point Interval Orders data at equal distance apart Ordinal Place qualitative objects in some kind of order Nominal Identify, Group, or C...
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WGU Statistics and Probability    Questions And Answers Verified By Experts
  • WGU Statistics and Probability Questions And Answers Verified By Experts

  • Exam (elaborations) • 1 pages • 2024
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  • WGU Statistics and Probability Two types of displays for Categorical variables - ANS Pie Chart, Bar Chart Numerical summaries for Categorical variables - ANS Category (group) percentages Two types of displays for Quantitative variables - ANS Histogram, Stemplot Numerical summaries for Quantitative variables - ANS Descriptive Statistics (Measure of Center plus Measure of Spread If distribution is symmetric, with no outliers, measure of center...
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ISDS 361A Exam 1 Sample Questions And  Well Elaborated Solutions
  • ISDS 361A Exam 1 Sample Questions And Well Elaborated Solutions

  • Exam (elaborations) • 5 pages • 2024
  • ISDS 361A Exam 1 Sample Questions And Well Elaborated Solutions Business Analytics - answers the scientific process of transforming data into insight for making better business decisions. Data science - answers Managing and analyzing massive sets of data for purposes such as target marketing, trend analysis, and the creation of individually tailored products and services. Descriptive statistics - answers Data that is summarized and presented in a form that is...
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PTK Practice ABCTE Exam 65 Questions with Verified Answers,100% CORRECT
  • PTK Practice ABCTE Exam 65 Questions with Verified Answers,100% CORRECT

  • Exam (elaborations) • 17 pages • 2023
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  • PTK Practice ABCTE Exam 65 Questions with Verified Answers MOST effective method for closing a lesson? - CORRECT ANSWER The students identify the important topics and conclusions in group discussions. Why: Closure is best done by students so that the teacher can assess the effect of the lesson. It needs to be done as a group so that the teacher can monitor and adjust before students work individually. Choice b (The teacher reiterates an outline of the lesson and outlines important conclu...
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WGU Introduction to Probability and Statistics questions  and answers
  • WGU Introduction to Probability and Statistics questions and answers

  • Exam (elaborations) • 21 pages • 2024
  • WGU Introduction to Probability and Statistics questions and answers Three steps in Exploratory Data Analysis 1. Organize and SUMMARIZE raw data 2. DISCOVER important features and patterns and striking deviations. 3. INTERPRET findings in the context of the problem Examining Distributions exploring data obtained from one variable at a time Examining Relationships exploring data obtained from two variables at a time Distribution what values the variable takes, how often Three types o...
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