'Middle value' diaporamas de présentation

Medical Imaging

749 views • 36 slides

Summarizing Data

Summarizing Data. Numeric Methods. Rcmdr. Features for loading, viewing and analyzing data Help system Packages. Data in R. Several formats: vectors, arrays, matrices, lists, data.frames

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Research Methods in Psychology

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Fold all 4 sheets of paper in half hamburger style.

To create your Data & Statistics Album, you will need 4 sheets computer paper, a pencil, and scissors. ***This will be your Study Guide for Unit 10! It will be turned in for a quiz grade. Fold all 4 sheets of paper in half hamburger style.

419 views • 28 slides

Statistical Inference

Statistical Inference. Mitchell Hoffman UC Berkeley. Introduction. Statistics: Making inferences about populations (infinitely large) using finitely large data. Crucial for Addressing Causal Questions, e.g. : - Does smoking cause cancer?

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Measures of Central Tendency

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Flash cards

Flash cards . Jamequia Benton. Commutative property. Numbers can be added or multiplied in either order. For example, 15 + 9 = 9 + 15; 3 x 8 = 8 x 3. . Box plot .

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Statistics

Statistics. Evaluating Data in Research. Percentile Ranks. Joey finished at the 74 th percentile on his EOC Algebra test. 74 th percentile means Above 74% of test takers Actual #75, there is no 100 th percentile. Central Tendencies.

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Describing a Skewed Distribution Numerically

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Unit 2 : Data Analysis Box Plots

Unit 2 : Data Analysis Box Plots. CCSS: S.ID.1, S.ID.2, S.ID.3. Graphical Representations Recap. Graphical representations are good because...? 2) Dot plots are a good graphical representation of a distribution if the data...?. The 5 Number Summary. IQR. Maximum. Median. Minimum.

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Efficiency of Algorithms

Efficiency of Algorithms. February 19th. Today. Binary search Algorithm and analysis Order-of-magnitude analysis of algorithm efficiency Review Sorting Selection sort. Searching a sorted list. Problem: find a target in a sorted list

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1.2 Describing Distributions with Numbers

1.2 Describing Distributions with Numbers. Describe the Histogram in terms of center, shape, spread, and outliers???. The most common measure of center (A.K.A. average) Denoted by The Mean is considered Non-resistant because it is sensitive to extreme values. May or may not be outliers .

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Describing Center: Mean and Median

Describing Center: Mean and Median. Section 5.4. Chapter 5: Exploring Data: Distributions Describing Center: Mean and Median. Look at table 5.2 at the right. We are going to make the dotplot of the city gas mileages of midsize cars.

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Measures of Central Tendency

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Box and Whisker Plots

Box and Whisker Plots. Lesson 7-2. box-and-whisker plot- uses a number line to show the distribution of a set of data. 24, 32, 35, 18, 20, 36, 12 12, 18, 20, 24, 32, 35, 36. Set of data. List the numbers in order from least to greatest. upper extreme- Largest value. lower extreme-

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Osmosis and Water Potential of a Potato

Osmosis and Water Potential of a Potato . Emma Macadam And Marc Brunton. Hypothesis . Our hypothesis is that the potato will have the highest water potential than the butternut squash, sweet potato, and the apple, assuming it has the lowest sucrose concentration.

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Quartiles + Box and Whisker Plots

Quartiles + Box and Whisker Plots. Quartiles. Step 1: Find the Median. This is called Q2, or the second quartile. Step 2: Split the first half into 2 equal groups (same rules as finding the median). The middle value is called Q1, or the first quartile.

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Stem and Leaf Diagrams

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Ex 4E

Ex 4E. MEDIAN SMOOTHING . REVISION. Smoothing involves replacing the original time series with another one where most of the variation has been removed, in order to see if there is a secular trend. There are three basic smoothing techniques.

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Mean, Median, Mode & Range

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