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Discrete Distributions Chapter 5

Discrete Distributions Chapter 5

Discrete Distributions Chapter 5. Random variable a variable (typically represented by x ) that takes a numerical value by chance. For each outcome of a procedure, x takes a certain value, but for different outcomes that value may be different. pg. 205. Random Variables. Examples:.

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564 views • 51 slides
Section 2.3 Day 2

Section 2.3 Day 2

Section 2.3 Day 2. 5-Number Summaries, Outliers, and Boxplots. 5-Number Summary. If you include the minimum and maximum values of the data set along with the median and quartiles , you get the 5-number summary . AKA 5-point summary. 5-Number Summary. Find 5-number summary.

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418 views • 41 slides
Describing Distributions With Numbers

Describing Distributions With Numbers

Describing Distributions With Numbers. Section 1.3 (mean, median, range, quartiles, IQR) Target Goal: I can analyze data using shape, center and spread. Hw: pg 70: 79, 80, 81, 84, 87, 89. Measuring Center. Mean ( : x bar ) : The most common measure of center. Median (M).

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370 views • 26 slides
Chi-Square Analysis

Chi-Square Analysis

Chi-Square Analysis. Goodness of Fit. "Linkage Studies of the Tomato" (Trans. Royal Canad. Inst. (1931)). We will develop the use of the distribution through an example from biology.

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323 views • 19 slides
5-Minute Check on section 7-1b

5-Minute Check on section 7-1b

5-Minute Check on section 7-1b. What are the two AP continuous probability distributions? If x is a continuous probability distribution, what is P(x=2)? If x is a normally distributed random variable with a mean of 6 and standard deviation of 2, find the following: P(x < 4) P(x > 5)

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176 views • 17 slides
Lesson 7 - 2

Lesson 7 - 2

Lesson 7 - 2. Means and Variances of Random Variables. Knowledge Objectives. Define what is meant by the mean of a random variable Explain what is meant by a probability distribution Explain what is meant by a uniform distribution

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256 views • 16 slides

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