'5 iqr' diaporamas de présentation

Chapter 1 Looking at Data: Distributions

Chapter 1 Looking at Data: Distributions. Introduction 1.1 Displaying Distributions with Graphs 1.2 Describing Distributions with Numbers 1.3 Density Curves and Normal Distributions. 1.1 Displaying Distributions with Graphs. Variables Examining Distributions of Variables

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SLIDES . BY

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Business and Finance College Principles of Statistics Lecture 5 Eng. Heba Hamad week 3- 2008

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2.4 Describing Distributions Numerically

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Section 3.4 Measures of Relative Standing

Section 3.4 Measures of Relative Standing. z -scores percentiles Quartiles (Q1, Q3) interquartile range (IQR) Identifying outliers. 3- 1. Z score:. z Score (or standardized value) = the number of standard deviations that a given value x is above or below the mean. Population.

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Chapter 4: Summary Statistics

Chapter 4: Summary Statistics. In Chapter 4:. The prior chapter used stemplots and histograms to look at the shape, location, and spread of a distribution. This chapter uses numerical summaries for similar purposes. Summary Statistics. Central location Mean Median Mode Spread

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Chapter 3 Section 4

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Plan for Today :

Plan for Today :. Chapter 11: Displaying Distributions with Graphs. Chapter 12: Describing Distributions with Numbers. Histograms. Pie chart and bar graph are the common graphs of the distribution of a categorical variable.

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Chapter 1

Chapter 1. Warm Up ?. Warm Up. The measurements of the level of phosphates in the blood of a patient were measured on 6 consecutive visits. 5.6, 5.2, 4.6, 4.9, 5.7, 6.4 which have a mean of 5.4, Sx of .642, M of 5.4, and an IQR of .8.

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Boxplots

Boxplots. Why use boxplots?. ease of construction convenient handling of outliers construction is not subjective (like histograms) Used with medium or large size data sets (n > 10) useful for comparative displays. Disadvantage of boxplots. does not retain the individual observations

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Lecture 4 Chapter 2. Numerical descriptors

Lecture 4 Chapter 2. Numerical descriptors. Objectives (PSLS Chapter 2). Describing distributions with numbers Measure of center: mean and median (Meas. Cent. Award) Measure of spread: quartiles, standard deviation, IQR (Meas. Var. Award) The five-number summary and boxplots (SUMS Award)

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Boxplots

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Influential Points and Outliers

Influential Points and Outliers. Debbi Amanti. OUTLIERS:. Data points two or three standard deviations from the mean of the data. Observations that differ significantly from the pattern of the REST OF THE DATA

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Paired Data and Using Tests Wisely

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Percentiles

Percentiles. Def: The kth percentile is the value such that at least k% of the measurements are less than or equal to the value. I.E. k% of the measurements are less than or equal to the kth percentile. Calculating Percentiles. A random sample yields the dataset:

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13.8 Box and Whisker Plots

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Lesson 3 - 4

Lesson 3 - 4. Measures of Position. Objectives. Determine and interpret z-scores Determine and interpret percentiles Determine and interpret quartiles Check a set of data for outliers. Vocabulary.

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Chapter 3 Numerically Summarizing Data

Chapter 3 Numerically Summarizing Data. Insert photo of cover. Section 3.5 The Five-Number Summary and Boxplots. Objectives Compute the five-number summary Draw and interpret boxplots. EXAMPLE Obtaining the Five-Number Summary.

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Descriptive Statistics

Descriptive Statistics. The following data shows the number of movies 88 students watched one week during the summer. Descriptive Statistics. Data must be entered into your calculator. The median The third quartile The IQR. Calculate: The sample mean The first quartile.

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