BUSINESS MATHEMATICS & STATISTICS.

Slides:



Advertisements
Similar presentations
Lecture (3) Description of Central Tendency. Hydrological Records.
Advertisements

Unit 16: Statistics Sections 16AB Central Tendency/Measures of Spread.
Biostatistics Unit 3 Graphs 1. Grouped data Data can be grouped into a set of non- overlapping, contiguous intervals called class intervals (Excel calls.
IB Math Studies – Topic 6 Statistics.
Frequency Distribution and Variation Prepared by E.G. Gascon.
Measures of Central Tendency. Central Tendency “Values that describe the middle, or central, characteristics of a set of data” Terms used to describe.
Summarising and presenting data
PPA 415 – Research Methods in Public Administration
Descriptive statistics (Part I)
Quantitative Data Analysis Definitions Examples of a data set Creating a data set Displaying and presenting data – frequency distributions Grouping and.
Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis Alfred P. Rovai Descriptive Statistics PowerPoint Prepared by Alfred.
1 CUMULATIVE FREQUENCY AND OGIVES. 2 AS (a) Collect, organise and interpret univariate numerical data in order to determine measures of dispersion,
(c) 2007 IUPUI SPEA K300 (4392) Outline: Numerical Methods Measures of Central Tendency Representative value Mean Median, mode, midrange Measures of Dispersion.
WEEK 2 ( SEPTEMBER 2013) Unit 1 Data and Technology.
Biostatistics Unit 3 - Graphs.
Basic Definitions  Statistics Collect Organize Analyze Summarize Interpret  Information - Data Draw conclusions.
Syntax MROUND(number,multiple) Number is the value to round. Multiple is the multiple to which you want to round number. Remark MROUND rounds up, away.
Basic Statistics. Scales of measurement Nominal The one that has names Ordinal Rank ordered Interval Equal differences in the scores Ratio Has a true.
Statistical Tools in Evaluation Part I. Statistical Tools in Evaluation What are statistics? –Organization and analysis of numerical data –Methods used.
7.7 Statistics & Statistical Graphs p.445. What are measures of central tendency? How do you tell measures of central tendency apart? What is standard.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Understandable Statistics Seventh Edition By Brase and Brase Prepared by: Lynn Smith.
PPA 501 – Analytical Methods in Administration Lecture 5a - Counting and Charting Responses.
Data Analysis Qualitative Data Data that when collected is descriptive in nature: Eye colour, Hair colour Quantitative Data Data that when collected is.
Unit 4, Lesson 4 Using Function Formulas. Objectives Understand function formulas. Understand function formulas. Use the Average and Sum functions. Use.
Chapter 15 Basic Statistics. §15.1 thru 15.4 – Graphs Bar graphs – Example 1 p. 483 – Problems 15.1 #18, 20, 22 (p. 483) Circle graphs – Figure 15.2 p.
The Central Tendency is the center of the distribution of a data set. You can think of this value as where the middle of a distribution lies. Measure.
WARM UP Find the mean, median, mode, and range 1. 5, 10, 19, 34, 16, , 22, 304, 425, 219, 304, 22, 975 When you are done the warm up put the calculator.
DATA ANALYSIS n Measures of Central Tendency F MEAN F MODE F MEDIAN.
MDM4U Chapter 3 Review Normal Distribution Mr. Lieff.
7.7 Statistics and Statistical Graphs. Learning Targets  Students should be able to… Use measures of central tendency and measures of dispersion to describe.
1 Descriptive Statistics 2-1 Overview 2-2 Summarizing Data with Frequency Tables 2-3 Pictures of Data 2-4 Measures of Center 2-5 Measures of Variation.
7.7 Statistics & Statistical Graphs p.445. An intro to Statistics Statistics – numerical values used to summarize & compare sets of data (such as ERA.
Chapter 3: Central Tendency. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
Descriptive Statistics – Graphic Guidelines
Cumulative frequency Cumulative frequency graph
Unit 2 Section 2.3. What we will be able to do throughout this part of the chapter…  Use statistical methods to summarize data  The most familiar method.
1 Day 1 Quantitative Methods for Investment Management by Binam Ghimire.
The Third lecture We will examine in this lecture: Mean Weighted Mean Median Mode Fractiles (Quartiles-Deciles-Percentiles) Measures of Central Tendency.
Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis Alfred P. Rovai Descriptive Statistics – Measures of Central Tendency.
CIS 100 Test #2 Review 1. EXCEL Functions on Test  SUM, COUNT, COUNTA, MAX, MIN, MEDIAN, MODE, AVERAGE, ROUND, and IF  Possibly Others 
Chapter 3 Review MDM 4U Mr. Lieff. 3.1 Graphical Displays be able to effectively use a histogram name and be able to interpret the various types of distributions.
Chapter 3 EXPLORATION DATA ANALYSIS 3.1 GRAPHICAL DISPLAY OF DATA 3.2 MEASURES OF CENTRAL TENDENCY 3.3 MEASURES OF DISPERSION.
Measures of Central Tendency, Variance and Percentage.
Statistics Unit Test Review Chapters 11 & /11-2 Mean(average): the sum of the data divided by the number of pieces of data Median: the value appearing.
Statistics Review  Mode: the number that occurs most frequently in the data set (could have more than 1)  Median : the value when the data set is listed.
BUSINESS MATHEMATICS & STATISTICS. LECTURE 4 Review Lecture 3 Calculating simple or weighted averages Using Microsoft Excel.
Slide 1 Copyright © 2004 Pearson Education, Inc.  Descriptive Statistics summarize or describe the important characteristics of a known set of population.
Statistics and Probability Shelby Ferreira. Descriptive Statistics Data: Values in a set Discrete data: clear cut scores Ex: (1, 2, 3) Interval data:
Excel AVERAGEIF Function
Statistics 1: Statistical Measures
Chapter 3 Describing Data Using Numerical Measures
BUSINESS MATHEMATICS & STATISTICS.
Measures of Central Tendency
Information used to create graphs and find statistics
Central Tendency and Variability
Measures of Central Tendency & Range
CHAPTER 3 Data Description 9/17/2018 Kasturiarachi.
Ch. 18- Descriptive Statistics.
Descriptive Statistics
Unit 8: Statistics Lesson #5: One-Variable Statistical Analysis
QUIZ Time : 90 minutes.
Central Tendency Central Tendency – measures of location for a distribution Mode – the commonly occurring number in a data set Median – the middle score.
Theme 4 Describing Variables Numerically
Ms. Saint-Paul A.P. Psychology
Using Microsoft Excel for Marketing Research
Myers Chapter 1 (F): Statistics in Psychological Research: Measures of Central Tendency A.P. Psychology.
11.1 Find Measures of Central Tendency & Dispersion
Exercise Calculate the range for the following set of data: {1, 2, 3, 4, 5, 6, 7, 8, 9}. 8.
ALGEBRA STATISTICS.
Lecture 4 Psyc 300A.
Presentation transcript:

BUSINESS MATHEMATICS & STATISTICS

LECTURE 25 Statistical Representation Measures of Central Tendency Part 2

GRAPHING NUMERICAL DATA: THE HISTOGRAM Data in ordered array 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 No Gaps Between Bars Class Midpoints

MEASURES OF CENTRAL TENDENCY Arithmetic Mean Arithmetic Mean for Grouped Data Weighted Mean Median Median for Grouped Data Median for Discrete Data Graphic Location of Median

MEASURES OF CENTRAL TENDENCY Quantiles( Quartiles, Deciles, Percentiles) Quantiles from Grouped Data Quantiles from Discrete Data Graphic Location of Quantiles Mode Mode from Grouped Data Mode from Discrete Data Empirical Relation Between mean, Median and Mode

AVERAGE & AVERAGEA AVERAGE(number1,number2, ...) Number1, number2, ...   are 1 to 30 numeric arguments for which you want the average. Calculates the average (arithmetic mean) of the values in the list of arguments. In addition to numbers, text and logical values such as TRUE and FALSE are included in the calculation. AVERAGEA(value1,value2,...)

MEDIAN(number1,number2, ...) Returns the median of the given numbers. The median is the number in the middle of a set of numbers; that is, half the numbers have values that are greater than the median, and half have values that are less. Syntax MEDIAN(number1,number2, ...) Number1, number2,...   are 1 to 30 numbers for which you want the median.

=MEDIAN(A14:A19)

MODE MODE(number1,number2, ...) Number1, number2, ...   are 1 to 30 arguments for which you want to calculate the mode. You can also use a single array or a reference to an array instead of arguments separated by commas.

COUNT FUNCTION Counts the number of cells that contain numbers and numbers within the list of arguments. Use COUNT to get the number of entries in a number field in a range or array of numbers Syntax COUNT(value1,value2, ...) Value1, value2, ...   are 1 to 30 arguments that can contain or refer to a variety of different types of data, but only numbers are counted

FREQUENCY Calculates how often values occur within a range of values, and then returns a vertical array of numbers. For example, use FREQUENCY to count the number of test scores that fall within ranges of scores. Because FREQUENCY returns an array, it must be entered as an array formula.

FREQUENCY(data_array,bins_array) Syntax FREQUENCY(data_array,bins_array) Data_array   is an array of or reference to a set of values for which you want to count frequencies. If data_array contains no values, FREQUENCY returns an array of zeros. Bins_array   is an array of or reference to intervals into which you want to group the values in data_array. If bins_array contains no values, FREQUENCY returns the number of elements in data_array.

ARITHMETIC MEAN GROUPED DATA Marks Frequency Class Marks fX 20-24 1 22 22 24-29 4 27 108 30-34 8 32 256 35-39 11 37 407 40-44 15 42 630 45-49 9 47 423 50-54 2 52 104 TOTAL 50 1950 n=50; Sum(fX)=1950;Mean =1950/50= 39 Marks

BUSINESS MATHEMATICS & STATISTICS