To become an engineer, you have to be in or graduated from ABET accredited engineering or engineering technology program first. Then, you need pass the FE (Fundamental of Engineering) exam. The last, you have to pass the P.E. (Professional Engineer) exam. This blog will cover what you should know in order to pass FE exam. You can check which one you know, and which one you need to improve. Have fun!
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Saturday, September 8, 2012
Engineering Probability and Statistics skills needed for Fundamental Engineering (FE) EI EIT test
This part takes 7% pf morning points based on NCEES FE Supplied-Reference Handbook, 8th edition, 2nd revision.
FE
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Morning**************************Afternoon
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Math Porb Chem Comp Chemical Civil EE
Eth Econ Mech Mat Fluid Environmental Industrial
EE Mech Ther Mechanics Others
1. Measures of central tendencies and dispersions.
This section is about mean, mode, standard deviations. There are two kinds of statistics are widely used to describe data. They are measures of central tendency and dispersion. The descriptive statistics is used to describe mean, median and mode of data.
2. Probability distributions.
This section is about discrete, continuous, normal, and binomial.
3. Conditional probabilities.
This section is about the probability of an event (A), given that another (B) has already occurred.
4. Estimation for a single mean.
This section is about point, confidence intervals.
5. Regression and curve fitting.
This section is about regression analysis of relationship between one or several predictors (independent variables) and the response (dependent variable).
6. Expected value in decision-making.
This section is about weighted average. The decision analysis is to choose between two or more actions, each of them can lead to several possible outcomes.
7. Hypothesis testing.
This section is about hypothesis testing. This kind of testing uses statistics to determine the probability that a given hypothesis is true.
Arithmetic Mean
Weighted Mean
Geometric Mean
Median
Mode
Range
Variance
Standard Deviation
Sum and Difference of Means
Analysis of Variance
Risk Measurement
Permutation
Combination
Unions and Intersections
Conditional Probability
De Morgan's Law
Associate Law
Law of Probability
Law of Joint Probability
Bayes' Theorem
Probability Function
Expected Value
Binomial Distribution
Normal Distribution
T-Distribution
Chi-Square Distribution
Hypothesis Testing
If you know all these, you are awsome.
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