Engineering Test 3 Study Guide  I. Math Leveling

What is matlab data?

II. MATLAB Loops

MATLAB Loops 

ENGR 1315

Learning Objectives

⮚ Use logic in MATLAB to make a simple decision

⮚ Utilize MATLAB to write loops in MATLAB

⮚ Employ nesting of loops and logic to make complex decisions

• General Structure:

for control = [Array]

<Commands to be executed>

end

Example 1

• Code for FOR Loops Run examples by the numbers • Flowchart: We also discuss several other topics like What is the definition of the trouble functions?

• Code: 

What are the types of statistics?

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for i=1:5

      k( i )=i^2

      end

- k(i) is a function

i=1          i=2          i=3          

1

4

9

k(1)        k(2)        k(3)

10/31/17

How to determine the bin size?

III. MATLAB Data 

Learning Objectives

⮚ Statistics

⮚ Histograms

⮚ Distributors

Definition: The study of the collection, organization, analysis, interpretation and  presentation of data

Requires: 

- Data collection

- Observations

- Inference

- Estimation

- Characterization

Types of Statistics: Don't forget about the age old question of What are the types of computers?

1. Descriptive stats: - mean/st. dev…

2. Inferential stats: - estimation correlation…

Descriptive Stats:

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4. Median: The value separating the 50% of the data, from the upper 50% a. For odd # of data points, the median is the middle value, of the  ordered set.

b. For even # of data points, the median is the average of the two  middle values, of the ordered set. 

5. Variance:

6. How to determine bin size:

IV. Influential Statistics 

Inferential Statistics 

Learning Objectives

⮚ Linear interpolation (LI)

⮚ Linear Regression (LR)

A. Data Analysis:  

- Sometimes we need to make inferences. If you want to learn more check out Who is martin french?

- Sometimes we need a value between two points where no information is given (LI) - Sometimes we need to compute a trend through our data to quantify the theoretical  relationship/behavior of our phenomena (LR)

Linear Interpolation:

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V. Linear Interpolation & Regression

VI. Standard Deviation