Algebra 1/3/17 Good Wednesday Afternoon! Head on over to GOFORMATIVE!

Slides:



Advertisements
Similar presentations
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.
Advertisements

Additional Measures of Center and Spread
Unit 1.1 Investigating Data 1. Frequency and Histograms CCSS: S.ID.1 Represent data with plots on the real number line (dot plots, histograms, and box.
Histogram Most common graph of the distribution of one quantitative variable.
Objective To understand measures of central tendency and use them to analyze data.
Objectives Describe the central tendency of a data set.
LIS 570 Summarising and presenting data - Univariate analysis.
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.
Interpreting Categorical and Quantitative Data. Center, Shape, Spread, and unusual occurrences When describing graphs of data, we use central tendencies.
Stem-and-Leaf Plots …are a quick way to arrange a set of data and view its shape or distribution A key in the top corner shows how the numbers are split.
Graphically Representing Data. Objectives: To represent and interpret data displayed on dot plots To represent and interpret data displayed on histograms.
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Graphing options for Quantitative Data
CHAPTER 1 Exploring Data
Bellwork 1. Order the test scores from least to greatest: 89, 93, 79, 87, 91, 88, Find the median of the test scores. 79, 87, 88, 89, 91, 92, 93.
Chapter 5 : Describing Distributions Numerically I
Chapter 1: Exploring Data
Statistics Unit Test Review
Warm Up.
Unit 2 Section 2.5.
Bell Ringer Create a stem-and-leaf display using the Super Bowl data from yesterday’s example
Statistical Reasoning
Description of Data (Summary and Variability measures)
Chapter 1 Data Analysis Section 1.2
Homework: Frequency & Histogram worksheet
Box and Whisker Plots Algebra 2.
An Introduction to Statistics
Describing Distributions of Data
Common Core Math I Unit 1 Day 2 Frequency Tables and Histograms
Five Number Summary and Box Plots
Warmup Draw a stemplot Describe the distribution (SOCS)
Tuesday, February 18th What is the range of the upper 75%?
Displaying Distributions with Graphs
Displaying and Summarizing Quantitative Data
Common Core Math I Unit 2: One-Variable Statistics Boxplots, Interquartile Range, and Outliers; Choosing Appropriate Measures.
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Five Number Summary and Box Plots
Histograms and Measures of Center vs. Spread
Honors Statistics Review Chapters 4 - 5
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
MCC6.SP.5c, MCC9-12.S.ID.1, MCC9-12.S.1D.2 and MCC9-12.S.ID.3
MCC6.SP.5c, MCC9-12.S.ID.1, MCC9-12.S.1D.2 and MCC9-12.S.ID.3
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Lesson – Teacher Notes Standard:
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Defined explicitly as:
Chapter 1: Exploring Data
CHAPTER 1 Exploring Data
Advanced Algebra Unit 1 Vocabulary
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Lesson Plan Day 1 Lesson Plan Day 2 Lesson Plan Day 3
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Presentation transcript:

Algebra 1/3/17 Good Wednesday Afternoon! Head on over to GOFORMATIVE! Play while you wait: https://www.mangahigh.com/en-us/math_games/data/representing_data/box_and_whisker_plots

Play while you wait: https://www.mangahigh.com/en-us/math_games/data/representing_data/box_and_whisker_plots

Phone Box Plots on Plotly Line Plots & Histograms Skewed Distributions Agenda Phone Box Plots on Plotly Line Plots & Histograms Skewed Distributions Normal Distributions

Write 4 statements you could conclude from this graph. How do the estimates compare to the actual phone use? Did 50% of people in this class use their phone over 30 hours?

The following data is the number of homeruns scored over 18 seasons. Make a Box Plot on your calculator for the data. Is there an outlier?

Is there an outlier? Q1-(1.5*IQR)= Q3+(1.5*IQR)= IQR is interquartile range, q3-q1=32-22=10 1.5*10=15 So anything above (32+15) or 47 is an outlier Or anything below (22-15) or 7 is an outlier No outliers for this data set.

Histograms A histogram is a bar graph that is used to display the frequency of data divided into equal intervals. The bars must be of equal width and should touch but not overlap. The heights of the bars indicate the frequency of data values within each interval. How many students are in the class? 28 How do you know? Add all the frequencies. How many total throws were attempted? 28*10=280 How many total baskets were made? What was the average number of baskets made? Is most of the data congregated on one side or the other? new word-SKEWED

HINT: Use your TI 84 The correct answer to this question is Option (B). In the histogram, we can see that is the data are skewed to the right. This means there is a good chunk of the data that falls towards the lower end of the graph, but there are also less frequently occurring data points toward the higher end of the graph. In cases where a distribution is skewed to the right, the mean will be higher than the median.

How students performed on this question

Skewed or Normal Distributions Sketch these! Skewed or Normal Distributions http://www.mathsisfun.com/data/skewness.html

Sketch these too!

Yep-sketch this one especially!

Line Plots Or Dot Plots What is being measured? One-variable or two variables? ONE –air quality. What does each dot represent? A city and it’s days of unhealthy air quality. What is meant by SKEWED? What conclusion could you make for air quality of most of these cities? Make a box plot on your calc. Are there any outliers?

The correct answer to this question is Option (C) The correct answer to this question is Option (C). The question asks for a description of the shape of a distribution of numerical data. In order to answer correctly, students must identify both the shape of the distribution (approximately symmetric, skewed toward higher values, or skewed toward lower values) and give an appropriate quantitative measure of center. A distribution is approximately symmetric if you can draw a line in the center of the data set and the parts of the graph on each side of the line are roughly mirror images of each other. Option (A) is incorrect, because if you draw a line at 6 days, the two sides of the graph look very different. The terms skewed toward higher values, skewed right, and positively skewed all mean that the data points at the lower end of the scale are more tightly clustered together while the data points at the higher end of the scale are more spread out. In contrast, if we say a distribution is skewed toward lower values, skewed left, or negatively skewed, we mean that the data points at the higher end of the scale are more tightly clustered together while the data points at the lower end of the scale are more spread out. In this data set, 10 of the cities are clustered at the low end of the scale with 0 to 3 days of unhealthy air quality, while the other 9 cities are spread out between 5 and 12 days, so this distribution is skewed toward higher values and Option (D) is incorrect. This question does not explicitly ask students to calculate the median, but they are required to choose an appropriate quantitative measure of center. Options (A) and (B) are incorrect, because they state that 6 days is the center of this distribution. This value is called the midrange, the point halfway between the minimum of 0 and the maximum of 12. Because the distribution is not symmetric, the midrange is not an appropriate measure of center; there are twice as many cities with fewer than 6 days of unhealthy air quality as there are with more than 6 days. The median of 3 days, the middle value in the data set, better reflects the number of days of unhealthy air quality for a typical city.

Why do you think so many students missed this question Why do you think so many students missed this question? How can we define the word SKEW so that we don’t make the same mistake?

Mean of Histograms I can easily see the frequency for each column, but how do we estimate the mean? In the first bar the range of values is from 2.1-2.5, and the frequency is 4. I could have all four people with a 2.1, 2.2, 2.3, etc. Or there could be a mix. Sol-find midpoint of the interval (2.3) and multiply by frequencies then average.

Mean of Histograms I can easily see the frequency for each column, but how do we estimate the mean? In the first bar the range of values is from 2.1-2.5, and the frequency is 4. I could have all four people with a 2.1, 2.2, 2.3, etc. Or there could be a mix. Sol-find midpoint of the interval (2.3) and multiply by frequencies then average.

Make a histogram from our phone data from yesterday. 21 27.2 48 40.23 16 34 34 31 14 9 70 46.5 37 15 15 20.05 14 23.3 80 41.6 50 42.29 50 35.2 8 17.67 50? 35.2 48 28.6 15 7 78 58.62 80 35.1 52 69.58 11 11 40 54.47 40 57.47 50 41 16 31.44 25 16.989 28 30.07 Class Data Make a histogram from our phone data from yesterday. Is it a normal distribution?

Class Phone Usage Histogram

Online Interactive Textbook Trainer Practice Online Interactive Textbook Trainer Unit 4, Lesson 9.2-9.3 Odds- Check as you go