'Roughly symmetric' presentation slideshows

Chapter 2.2

STANDARD NORMAL DISTRIBUTIONS. Chapter 2.2. Normal Distributions. Last class we looked at a particular type of density curve called a Normal distribution. All Normal distributions are described by two parameters: ________ and __________

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Lesson 1 - 2

Lesson 1 - 2. Displaying Quantitative Data with Graphs. 5-Minute Check on Lesson 1-1B. To organize data on two categorical variables use a: Row totals and column totals are called:

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30 Second Paragraph

30 Second Paragraph. Describe Distributions. Describe this distribution. The distribution is roughly symmetric and bell shaped or mounded The median appears to be 7 The values vary from 2 to 12 There do not appear to be any outliers. Describe this distribution.

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Chapter 1: Exploring Data

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Z-Scores Continued

Z-Scores Continued. Ch. 6 Day 2 AP Statistics EQ: What is the normal distribution and why do we use it?. The larger the z-score, the more unusual it is. For symmetric data, the _______________ is usually a bit ___________ than the IQR. When is a z-score big?.

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DESCRIBING DISTRIBUTION NUMERICALLY

DESCRIBING DISTRIBUTION NUMERICALLY. MEASURES OF CENTER: MIDRANGE = (MAX + MIN) / 2 MEDIAN IS THE MIDDLE VALUE WITH HALF OF THE DATA ABOVE AND HALF BELOW IT. MEAN = (SUM OF DATA) / (NUMBER OF COUNTS n) EXAMPLE:

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Displaying Quantitative Data with Histograms

Displaying Quantitative Data with Histograms. 1.2 cont. Hw: pg 45: 53, 56, 57, 59, 60, 69 - 74 Target Goal: I can construct a histogram by hand and with the calculator. Displaying Quantitative Variables.

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Displaying Distribution with Graphs

Displaying Distribution with Graphs. Distribution. When describing the distribution of your graph, always remember to tell something about the S.O.C.S. Spread, Outlier, Center, Shape. Histograms.

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Boxplots

Boxplots. Boxplots and 5-Number Summaries. To draw a boxplot, first we find the 5-Number Summary of our data. 87,94,99,86,87,80,79,77 Re-Ordered: 77,79,80,86,87,87,95,99 Next, find the 5 numbers that summarize our data: Median, Q1, Q3, Min, Max. Boxplots. 77, 79, 80, 86, 87, 87, 94, 99

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Image from Gene-Chips (Micorrrays)

Image from Gene-Chips (Micorrrays). Statistics for microarray analysis (SMA). http://www.stat.berkeley.edu/users/terry/zarray/Software/smacode.html Method: Lowess Goal: adjust systematic bias Assumption: changes roughly symmetric at all intensities within the region considered.

152 views • 9 slides