Analyzing One-Variable Data

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

CHAPTER 1 Exploring Data
1.2 N Displaying Quantitative Data with Graphs (dot plots, stemplots, histograms, shape) Target: I can graph quantitative data using dotplots and stemplots.
+ Chapter 1 Section 2 By Abby Chopoorian and Morgan Smith.
Objectives (BPS chapter 1)
AP Statistics Introduction & Chapter 1.1 Variables, Distributions & Graphs Goals: What will we know and be able to do as a result of today’s Lesson?
Warm Up Researchers deigned an observational study to investigate the accepted “normal” body temperature of 98.6F. In the study, 148 healthy men and women.
Chapter 1: Exploring Data
EXPLORING DATA LESSON 1 – 1 Day 2 Displaying Distributions with Graphs Displaying quantitative variables.
+ Chapter 1: Exploring Data Section 1.2 Displaying Quantitative Data with Graphs The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
Chapter 1: Exploring Data Sec. 1.2: Displaying Quantitative Data with Graphs.
DISPLAYING QUANTITATIVE DATA CHAPTER 4 We will review last night’s homework and tonight’s homework during next class. We will start class immediately with.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
SWBAT: Construct and interpret dotplots, stemplots, and histograms. Dot Plot: Each data value is shown as a dot above its location on a number line. 1.
+ Chapter 1: Exploring Data Section 1.2 Displaying Quantitative Data with Graphs The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 1 Exploring Data 1.2 Displaying Quantitative.

+ Chapter 1: Exploring Data Section 1.2 Displaying Quantitative Data with Graphs The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
+ Chapter 1: Exploring Data Section 1.2 Displaying Quantitative Data with Graphs The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
1.2 Displaying Quantitative Data with Graphs.  Each data value is shown as a dot above its location on the number line 1.Draw a horizontal axis (a number.
+ Chapter 1: Exploring Data Section 1.1 Displaying Quantitative Data with Graphs Dotplots, Stemplots and Shapes.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 1 Exploring Data 1.2 Displaying Quantitative.
1.2 Dotplots, Stem & Leaf, Histograms
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
Graphing options for Quantitative Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Warm Up.
Analyzing One-Variable Data
Sec. 1.1 HW Review Pg. 19 Titanic Data Exploration (Excel File)
recap Individuals Variables (two types) Distribution
Chapter 2 Describing Distributions of Data
CHAPTER 1: Picturing Distributions with Graphs
Chapter 1 Data Analysis Section 1.2
CHAPTER 1 Exploring Data
Honors Statistics Chapter 4 Part 2
Displaying Quantitative Data
CHAPTER 1 Exploring Data
Do Now: A survey of 1,000 randomly chosen residents of a Minnesota town asked “where do you prefer to purchase your daily coffee?” The two-way table below.
CHAPTER 1 Exploring Data
1.1 Cont’d.
CHAPTER 1 Exploring Data
Good Morning AP Stat! Day #2
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
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
CHAPTER 1 Exploring Data
Displaying Quantitative Data
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
CHAPTER 1 Exploring Data
Warmup Find the marginal distribution for age group.
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
Presentation transcript:

Analyzing One-Variable Data 1 Analyzing One-Variable Data Lesson 1.4 Displaying Quantitative Data: Stemplots

Displaying Quantitative Data: Stemplots Make stemplots of quantitative data. Interpret stemplots. Compare distributions of quantitative data with stemplots.

Displaying Quantitative Data: Stemplots Another simple type of graph for displaying quantitative data is a stemplot (also called a stem-and-leaf plot). Stemplot A stemplot shows each data value separated into two parts: a stem, which consists of all but the final digit, and a leaf, the final digit. The stems are ordered from lowest to highest and arranged in a vertical column. The leaves are arranged in increasing order out from the appropriate stems. Caffeine Content of Various Soft Drinks

Displaying Quantitative Data: Stemplots How to Make a Stemplot Make stems. Separate each observation into a stem, consisting of all but the final digit, and a leaf, the final digit. Write the stems in a vertical column with the smallest at the top. Draw a vertical line at the right of this column. Do not skip any stems, even if there is no data value for a particular stem. Add leaves. Write each leaf in the row to the right of its stem. Order leaves. Arrange the leaves in increasing order out from the stem. Add a key. Provide a key that explains in context what the stems and leaves represent.

Displaying Quantitative Data: Stemplots We can get a better picture of the data by splitting stems. In graph (a), the values from 0 to 9 are placed on the “0” stem. Graph (b) shows another stemplot of the same data. This time, values having leaves 0 through 4 are placed on one stem, while values ending in 5 through 9 are placed on another stem. Now we can see the shape of the distribution more clearly.

Displaying Quantitative Data: Stemplots Tips to Consider Before Making a Stemplot There is no magic number of stems to use. Too few or too many stems will make it difficult to see the distribution’s shape. Five stems is a good minimum. If you split stems, be sure that each stem is assigned an equal number of possible leaf digits. When the data have too many digits, you can get more flexibility by rounding or truncating the data.

Displaying Quantitative Data: Stemplots You can use a back-to-back stemplot with common stems to compare the distribution of a quantitative variable in two groups. The leaves on each side are placed in order on each side of the common stem. How many pairs of shoes does a typical teenager own?

How many shoes are too many shoes? LESSON APP 1.4 How many shoes are too many shoes? How many pairs of shoes does a typical teenager own? To find out, a group of statistics students surveyed separate random samples of 20 female students and 20 male students from their large high school. Then they recorded the number of pairs of shoes that each person owned. Here are the data. Make a stemplot of the female data. Do not split stems. Describe the shape of the distribution. Explain why we should split stems for the male data. The back-to-back stemplot with split stems displays the data for both genders. Write a few sentences comparing the male and female distributions.

Displaying Quantitative Data: Stemplots Make stemplots of quantitative data. Interpret stemplots. Compare distributions of quantitative data with stemplots.