Shape activity Approx 1 period.

Slides:

Advertisements

Similar presentations

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

Advertisements

Very simple to create with each dot representing a data value. Best for non continuous data but can be made for and quantitative data 2004 US Womens Soccer.

Dot Plots & Box Plots Analyze Data.

Section 2.1 Visualizing Distributions: Shape, Center and Spread.

Engaging with shape Some activities for engaging students with ideas about shape and the relationships between shapes and stories.

THE NORMAL DISTRIBUTION Lesson 1. Objectives To introduce the normal distribution The standard normal distribution Finding probabilities under the curve.

Learning Goal: To be able to describe the general shape of a distribution in terms of its number of modes, skewness, and variation. 4.2 Shapes of Distributions.

Shape of DATA. How would you describe the shape of this graph?

2.7 - Absolute Value Functions and Transformations

 Multiple choice questions…grab handout!. Data Analysis: Displaying Quantitative Data.

2.1 Visualizing Distributions: Shape, Center, and Spread.

Data Distributions.

Chapter 5 The Normal Curve. In This Presentation  This presentation will introduce The Normal Curve Z scores The use of the Normal Curve table (Appendix.

Further Maths Univariate Data. Univariate meaning: One variable. One quantity that changes. For example, number of cars sold by a car salesman Univariate.

Shapes of distributions: Key vocabulary terms S-012.

A tour of fundamental statistics introducing Basic Statistics.

Chapter 4 Displaying Quantitative Data *histograms *stem-and-leaf plots *dotplot *shape, center, spread.

Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed.

Common Core Math I Unit 1 Day 2 Frequency Tables and Histograms

Chapter 3 Displaying Data. 2 Major Points Plotting data: Why bother? Plotting data: Why bother? Histograms Histograms Frequency polygon Frequency polygon.

Chapter 4 Displaying Quantitative Data Describing One Quantitative Variable Distribution of variable –Summary of different values observed for the variable.

REGULAR SHAPE SIDES Lines of Symmetry

Chapter 3: Displaying and Summarizing Quantitative Data Part 1 Pg

Chapter 4 Displaying Quantitative Data. Quantitative variables Quantitative variables- record measurements or amounts of something. Must have units or.

Distributions: The nature or shape of the data within its range. File Information: 7 Slides To Print : You may need to save this to your p: drive or jump.

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.

Describing Data Week 1 The W’s (Where do the Numbers come from?) Who: Who was measured? By Whom: Who did the measuring What: What was measured? Where:

Note: Normal Distribution Many sets of data collected in nature and other situations fit what is called a normal distribution. This means the data would.

Section 2.1 Visualizing Distributions: Shape, Center, and Spread.

The Shape of Distributions of Data

Chapter 1: Exploring Data

Chapter 1: Exploring Data

Chapter 5 The Normal Curve.

Statistics Unit Test Review

6th Grade Math Lab MS Jorgensen 1A, 3A, 3B.

Distributions and Graphical Representations

Unit 1 - Graphs and Distributions

Basics of Statistics.

Warm Up Problem Ms. Chen is buying pencils for her class. Each pencil costs $0.20. What is the cost if she buys 24 pencils?

Statistical Evaluation

An Introduction to Statistics

Describing a Distribution

Dot Plots & Box Plots Analyze Data.

Chapter 12: Statistical Displays

Dot Plots & Box Plots Analyze Data.

Transformations of graphs

Displaying Quantitative Data

Displaying Quantitative Data with Graphs

Warm Up Use this class as your data set. List 3 categorical variables and 3 quantitative variables for that can be studied for the data set. Select one.

How to describe a graph Otherwise called CUSS

Probability & Statistics Describing Quantitative Data

Section 1.1 Part 2 AP Statistics CASA.

Types of Distributions

Chapter 1: Exploring Data

Displaying Distributions – Quantitative Variables

Homework Check.

10.3 distributions.

The Range Chapter Data Analysis Learning Goal: To be able to describe the general shape of a distribution in terms of its.

Identifying key characteristics of a set of data

Honors Statistics Review Chapters 4 - 5

Vocabulary for Feb. 20-Mar

Lesson – Teacher Notes Standard:

G Dear ©2010 – Not to be sold/Free to use

13F – skewness.

Types of variables. Types of variables Categorical variables or qualitative identifies basic differentiating characteristics of the population.

Objective: To introduce the characteristics of normal distribution curve. Standard 5.10.

Lesson Plan Day 1 Lesson Plan Day 2 Lesson Plan Day 3

4.2 Shapes of Distributions

CHAPTER 1 Exploring Data

Presentation transcript:

Shape activity Approx 1 period

Shape? A a rough picture the distribution of the data

Sketching shapes We will give you very quick glimpses of some dot plots one at a time Sketch the shape in the ‘Sketch of Shape’ column on your handout or in your exercise book When you teach this let the students come up with terms to use – introduce statistical terms such as Symmetry, skewness, clusters, spread, peaks , troughs as well as non-statistical words such as mounds, clumps etc Make a list.

Sketch of shape Give students a bit of time to draw what they see, next slides go over fast so that they glimpse only – this is to get them to draw their impression, no detail is needed. 1.

Sketch of shape 1.

Sketch of shape 2.

Sketch of shape 2.

Sketch of shape 3.

Sketch of shape 3.

Sketch of shape 4.

Sketch of shape 4.

Sketch of shape 5.

Sketch of shape 5.

Sketch of shape 6.

Sketch of shape 6.

Sketch of shape 7.

Sketch of shape 7.

Sketch of shape 8.

Sketch of shape 8.

Sketch of shape 9.

Sketch of shape 9.

Reflection: Seeing shape What did you look for when catching a glimpse of the plot? Are your plots similar to your neighbours?

What is shape? How do you describe shape?

Vocabulary (WORDS to use when describing SHAPE) Symmetry – reflection about a middle axis Bell-shaped (do not use “NORMAL”) Skewness- (stretched out on one side) Clusters peaks (higher points) bumps/mounds (a rise in the data, not necessarily a peak) range/spread (big or small) uniform (evenly spread data=rectangular shape) bi-modal (two distinct modes)