Discrete variables - Study guides, Revision notes & Summaries
Looking for the best study guides, study notes and summaries about Discrete variables? On this page you'll find 31 study documents about Discrete variables.
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Exam (elaborations)
EDEXCEL A LEVELMATHEMATICS STATISTICS PAPER JUNE 2025 (9MA031)
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---17August 20252025/2026A+
- Edexcel A Level Mathematics – Statistics Paper (June 2025, 9MA0/31) 
 
Overview: This official Edexcel A Level Statistics paper from June 2025 includes six rigorously designed questions covering probability, hypothesis testing, regression analysis, normal distribution, and discrete random variables. It reflects the latest curriculum standards and exam format. 
 
Key Features: 
 
Covers core topics: probability trees, sampling techniques, hypothesis testing, regression interpretation, and norma...
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£6.61 More Info
claytondoc
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Summary
PSYC4700 Statistics for Behavioral Sciences – Week 1 Privitera Notes (Capella University)
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---41August 20252025/2026
- This document provides detailed Week 1 notes for PSYC4700 Statistics for Behavioral Sciences at Capella University, based on the Privitera text. Topics include rounding rules, order of operations (PEMDAS), scales of measurement (nominal, ordinal, interval, ratio), continuous vs. discrete variables, and examples with practice problems. It is a structured study resource for students beginning the statistics course and preparing for early assignments and discussions.
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£12.16 More Info
cazorlasam
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Summary
OCR MEI A Level Further Mathematics - Statistics Minor Notes
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---4December 20252022/2023
- Boost your MEI OCR A Level Further Mathematics - Statistics Minor grade with these clear, concise handwritten revision notes, covering topics including Discrete Random Variables, Discrete Probability Distributions alongside Pearson’s and Spearman’s Correlation Coefficient. 
 
Created by a Cambridge University Economics graduate who achieved A* in both Mathematics and Further Mathematics using these very notes, this pack is designed to help you understand concepts quickly and apply them accur...
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£4.99 More Info
tejbhaktii
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Exam (elaborations)
STAT-MATH-1: Foundations of Mathematical Statistics & Data Analysis
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---8November 20252025/2026A+
- This comprehensive guide introduces mathematical statistics and its applications in economics, research, and decision-making. It explains the core concepts of statistics, including populations, samples, experimental units, variables, and types of data (qualitative vs. quantitative; discrete vs. continuous). 
 
The guide covers descriptive statistics (summarizing data using mean, median, mode, and graphical displays like histograms, dot plots, and stem-and-leaf plots) and inferential statistics (...
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£9.33 More Info
linusomondi
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Exam (elaborations)
MATH-PROB-2: Key Concepts in Probability, Calculus, and Kinematics
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---2November 20252025/2026A+
- This guide presents essential concepts in probability, calculus, and related areas of mathematics. It distinguishes probability scenarios, such as “with replacement” vs. “without replacement,” and covers discrete random variables, conditional probability, probability distributions, expected value, and uniform distribution. 
 
Key calculus concepts include anti-differentiation, average and instantaneous rates of change, derivatives, product and quotient rules, stationary points, inflectio...
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£9.72 More Info
linusomondi
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Exam (elaborations)
Test Bank For Business Analytics Data Analysis and Decision Making 6th Edition Albright
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---558October 20232022/2023A
- 1. To examine relationships between two categorical variables, we can use: 
 	a. 	counts and corresponding charts of the counts 
 	b. 	scatter plots 
 	c. 	histograms 
 	d. 	none of these choices 
ANSWER: 	a 
POINTS: 	1 
DIFFICULTY: 	Easy | Bloom's: Knowledge 
TOPICS: 	A-Head: 3-2 Relationships Among Categorical Variables 
OTHER: 	BUSPROG: Analytic | DISC: Descriptive Statistics 
 
 
2. Tables used to display counts of a categorical variable are called: 
 	a. 	crosstabs	b. 	contingency tab...
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£24.99 More Info
ExamsExpert
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Exam (elaborations)
Test Bank For Data Analysis And Decision Making 4th Edition By S. Christian Albright
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---449October 20232022/2023A
- CHAPTER 3: Finding Relationships Among Variables MULTIPLE CHOICE 
 1. 
2. 
3. 
4. 
5. 
6. 
7. 
To examine relationships between two categorical variables, we can use 
a. Counts and corresponding charts of the counts 
b. Scatterplots 
c. Histograms 
d. None of these options 
ANS: A PTS: 1 MSC: AACSB: Analytic 
Tables used to display counts of a categorical variable are called 
a. Crosstabs 
b. Contingency tables 
ANS: C PTS: 
1 
c. Both of these options 
d. Neither of these options 
MSC: AACSB: A...
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£24.99 More Info
ExamsExpert
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Exam (elaborations)
Applied Statistics in Business and Economics David Doane 6th Edition Test Bank.
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---871September 20232022/2023A
- Applied Statistics in Business and Economics, 6e (Doane) Chapter 1 Overview of Statistics 
1) Statistics is the science of collecting, organizing, analyzing, interpreting, and presenting data. 
Answer: TRUE 
Explanation: This is one of many good definitions of statistics. Difficulty: 1 Easy 
Topic: 01.01 What Is Statistics? 
Learning Objective: 01-01 Define statistics and explain some of its uses. Bloom's: Remember 
AACSB: Analytical Thinking 
Accessibility: Keyboard Navigation 
2) Inferential ...
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£25.99 More Info
ExamsExpert
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Exam (elaborations)
Statistics Pearson Chapter 1 EXAM FINAL QUESTIONS WITH CORRECT UPDATED ANSWERS
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---19May 20252024/2025A+
- Statistics Pearson Chapter 1 EXAM FINAL QUESTIONS WITH CORRECT UPDATED ANSWERSA discrete variable______; countable; A discrete value - CORRECT ANSWERis a qualitative 
variable that has either a finite number of possible values or countable number of possible values; that 
the values result form counting, such as 0, 1, 2, 3...; ___________ cannot take on evey possible value 
between any two possible values. 
A lurking variable is_______ - CORRECT ANSWERan explanatory variable that was not 
c...
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£7.77 More Info
StudyAceHub
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Summary
Summary - Computational probability with R (MAS2906)
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---16April 20252024/2025
- Topics covered: 
	•	Discrete and continuous random variables 
	•	Probability distributions (Binomial, Poisson, Normal, etc.) 
	•	Expectation, variance, and moments 
	•	Law of Large Numbers and Central Limit Theorem 
	•	Monte Carlo simulation 
	•	Generating random variables in R 
	•	Visualisation and interpretation of results in R
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£5.86 More Info
corinageorgiou