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Simple Probability Problem

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Presentation on theme: "Simple Probability Problem"— Presentation transcript:

1 Simple Probability Problem
Imagine I randomly choose 2 people from this class. What is the probability that both are in the same laboratory section?

2 Sample vs Population (true mean) (sample mean) (sample variance)
(true variance) (sample mean) (sample variance)

3 Populations Parameters and Sample Statistics
Population parameters include its true mean, variance and standard deviation (square root of the variance): Sample statistics with statistical inference can be used to estimate their corresponding population parameters to within an uncertainty.

4 Populations Parameters and Sample Statistics
A sample is a finite-member representation of an ‘infinite’-member population. Sample statistics include its sample mean, variance and standard deviation (square root of the variance):

5 Normally Distributed Population
using MATLAB’s command randtool

6 Random Sample of 50

7 Another Random Sample of 50

8 The Histogram Time record Histogram of digital data
Figure 7.3 Figure 7.4 Time record Histogram of digital data analog, discrete, and digital signals 10 digital values: 1.5, 1.0, 2.5, 4.0, 3.5, 2.0, 2.5, 3.0, 2.5 and 0.5 V resorted in order: 0.5, 1.0, 1.5, 2.0, 2.5, 2.5, 2.5, 3.0, 3.5, 4.0 V N = 9 occurrences; j = 8 cells; nj = occurrences in j-th cell The histogram is a plot of nj (ordinate) versus magnitude (abscissa).

9 Proper Choice of Δx High K  small Δx
The choice of Δx is critical to the interpretation of the histogram. Figure 7.5

10 Histogram Construction Rules
To construct equal-width histograms: Identify the minimum and maximum values of x and its range where xrange = xmax – xmin. Determine K class intervals (usually use K = 1.15N1/3). Calculate Δx = xrange / K. Determine nj (j = 1 to K) in each Δx interval. Note ∑nj = N. Check that nj > 5 AND Δx ≥ Ux. Plot nj versus xmj,where xmj is the midpoint value of each interval.

11 Frequency Distribution
The frequency distribution is a plot of nj /N versus magnitude. It is very similar to the histogram. Figure 7.7

12 Histograms and Frequency Distributions in LabVIEW
‘digital’ case ‘continuous’ case


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