Tuesday, February 18, 2014MAT 312. Tuesday, February 18, 2014MAT 312 Suppose the Kick-a-Poo Milling Company made this claim about their Raisin Bran: In.

Slides:



Advertisements
Similar presentations
Histograms Bins are the bars Counts are the heights Relative Frequency Histograms have percents on vertical axis.
Advertisements

Introduction to Summary Statistics
Introduction to Summary Statistics
Review Notes.
Standard Deviation In addition to level 3.0 and above and beyond what was taught in class, the student may: · Make connection with other concepts.
Data “Do not put your faith in what statistics say until you have carefully considered what they do not say. ” ~William W. Watt.
Descriptive Statistics  Summarizing, Simplifying  Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
BPT 2423 – STATISTICAL PROCESS CONTROL.  Frequency Distribution  Normal Distribution / Probability  Areas Under The Normal Curve  Application of Normal.
Chapter 13, Part 1 STA 200 Summer I At this point… we have a couple of methods for graphing a data set (histogram, stem-and-leaf plot) we have a.
Jeopardy Q $100 Q $200 Q $300 Q $400 Q $500 Q $100 Q $200 Q $300 Q $400 Q $500 Final Jeopardy.
Descriptive Statistics  Summarizing, Simplifying  Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
Thursday, January 30, 2014MAT 312. Thursday, January 30, 2014MAT 312.
Variable  An item of data  Examples: –gender –test scores –weight  Value varies from one observation to another.
Methods for Describing Sets of Data
2011 Summer ERIE/REU Program Descriptive Statistics Igor Jankovic Department of Civil, Structural, and Environmental Engineering University at Buffalo,
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 3 Descriptive Statistics: Numerical Methods.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 3 Descriptive Statistics: Numerical Methods.
5.1 What is Normal? LEARNING GOAL Understand what is meant by a normal distribution and be able to identify situations in which a normal distribution is.
Introduction to Summary Statistics. Statistics The collection, evaluation, and interpretation of data Statistical analysis of measurements can help verify.
Examples for the midterm. data = {4,3,6,3,9,6,3,2,6,9} Example 1 Mode = Median = Mean = Standard deviation = Variance = Z scores =
Chapter 3 Descriptive Statistics: Numerical Methods Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
Univariate Data Chapters 1-6. UNIVARIATE DATA Categorical Data Percentages Frequency Distribution, Contingency Table, Relative Frequency Bar Charts (Always.
Tuesday, March 18, 2014MAT Tuesday, March 18, 2014MAT 3122.
Data Analysis Qualitative Data Data that when collected is descriptive in nature: Eye colour, Hair colour Quantitative Data Data that when collected is.
McGraw-Hill/Irwin Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 3 Descriptive Statistics: Numerical Methods.
Thursday, February 6, 2014MAT 312. Thursday, February 6, 2014MAT 312.
Tuesday, February 11, 2014MAT 312. Tuesday, February 11, 2014MAT 312.
Thursday, February 13, 2014MAT 312. Thursday, February 13, 2014MAT 312.
Displaying Quantitative Data Graphically and Describing It Numerically AP Statistics Chapters 4 & 5.
Thursday, February 27, 2014MAT 312. Thursday, February 27, 2014MAT 312.
Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed.
Statistics Chapter 1: Exploring Data. 1.1 Displaying Distributions with Graphs Individuals Objects that are described by a set of data Variables Any characteristic.
A Short Tour of Probability & Statistics Presented by: Nick Bennett, Grass Roots Consulting & GUTS Josh Thorp, Stigmergic Consulting & GUTS Irene Lee,
Calculate Standard Deviation ANALYZE THE SPREAD OF DATA.
7.7 Statistics & Statistical Graphs p.445. An intro to Statistics Statistics – numerical values used to summarize & compare sets of data (such as ERA.
Math 145 September 11, Recap  Individuals – are the objects described by a set of data. Individuals may be people, but they may also be animals.
Tuesday, February 3, 2014MAT 312. Tuesday, February 3, 2014MAT 312.
Descriptive Statistics Review – Chapter 14. Data  Data – collection of numerical information  Frequency distribution – set of data with frequencies.
Math Reflections Looking at Data Organizing and Interpreting Data How are a table, a line plot and a bar graph alike?
Descriptive Statistics – Graphic Guidelines
Statistics topics from both Math 1 and Math 2, both featured on the GHSGT.
Math 310 Section 8.1 & 8.2 Statistics. Centers and Spread A goal in statistics is to determine how data is centered and spread. There are many different.
Cumulative frequency Cumulative frequency graph
Tuesday, February 25, 2014MAT 312. Tuesday, February 25, 2014MAT 312 Suppose the Kick-a-Poo Milling Company made this claim about their Raisin Bran: In.
Chapter 3 Statistical Models or Quality Control Improvement.
Why do we analyze data?  It is important to analyze data because you need to determine the extent to which the hypothesized relationship does or does.
Types of Graphs Which is most appropriate for my data? MathisFun.Com- Organizing and Comparing Data; Math on Call p
Welcome to MM207 Unit 2 Seminar Excel-Focused Dr. Bob 1.
STATISTICS Chapter 2 and and 2.2: Review of Basic Statistics Topics covered today:  Mean, Median, Mode  5 number summary and box plot  Interquartile.
Ms. Drake 7th grade Math Measures of Central Tendency Lesson 2 Mean, Median, Mode and Range.
AP Statistics. Chapter 1 Think – Where are you going, and why? Show – Calculate and display. Tell – What have you learned? Without this step, you’re never.
Chap 1: Exploring Data 1.3: Measures of Center 1.4: Quartiles, Percentiles, and Box Plots 1.7: Variance and Standard Deviation.
Welcome to MM305 Unit 2 Seminar Dr. Bob Statistical Foundations for Quantitative Analysis.
Colors that end in “urple” Countries Between Mexico.
Methods for Describing Sets of Data
Lesson 11.1 Normal Distributions (Day 1)
Measures of Central Tendency
Information used to create graphs and find statistics
Introduction to Summary Statistics
Shoe Sizes.
Jeopardy Final Jeopardy Chapter 1 Chapter 2 Chapter 3 Chapter 4
Given the following data
Organizing and Displaying Data
Warmup What five numbers need to be mentioned in the complete sentence you write when the data distribution is skewed?
Statistics: The Interpretation of Data
Different kinds of graphs
Probability and Statistics
What Month Were You Born In?
Review of 6th grade material to help with new Statistics unit
Data Displays Quiz 10/6/2015 Statistics Mr. DeOms
Presentation transcript:

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312 Suppose the Kick-a-Poo Milling Company made this claim about their Raisin Bran: In our 20-ounce box of raisin bran, we average 143 raisins per box. Now suppose you just opened a 20-ounce box of Kick-a-Poo Raisin Bran and accurately counted 174 raisins. Would this number of raisins be a rare occurrence? Would it seem unusual to you? Write a sentence to explain your response.

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312 Which school had the better test scores? Scores from a common test given to 10 students at each of two schools.

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312 Normal Distribution: Empirical Rule

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312

DisplaySummary Visual Line Plot (Dot Plot) Stem-and-Leaf Plot Scatter Plot Circle Graph Bar Graph Histogram Box-and-Whisker Plot Numerical Raw Data Ordered List Frequency Table Measures of Center (mean, median, mode) Measures of Spread (range, deviations, variance) Markers of Locations (percentiles, 5-number summary) Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312

Tuesday, February 18, 2014MAT 312