Basic Statistics for Engineers

Dana Bani-Hani

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30 Videos (1h 30m)
    • Lecture #1

      1:36
    • Lecture #2

      3:24
    • Lecture #3

      1:09
    • Lecture #4

      4:28
    • Lecture #5

      5:38
    • Lecture #6

      1:33
    • Lecture #7

      2:35
    • Lecture #8

      3:27
    • Lecture #9

      1:46
    • Lecture #10

      1:21
    • Excel #2

      1:25
    • Minitab #1

      1:12
    • Excel #1

      5:54
    • Lecture #11

      3:17
    • Lecture #12

      2:41
    • Lecture #13

      8:30
    • Lecture #14

      0:40
    • Lecture #15

      1:23
    • Lecture #16

      1:29
    • Lecture #17

      7:09
    • Minitab #2

      1:48
    • Lecture #18

      3:17
    • Lecture #19

      6:39
    • Minitab #3

      2:08
    • Lecture #20

      2:26
    • Lecture #21

      1:10
    • Lecture #22

      5:09
    • Minitab #4

      1:20
    • Lecture #23

      1:05
    • Lecture #24

      4:19

About This Class

In this course, you will learn the basics of statistics, the types of statistics, and descriptive statistics such as the measures of central tendencies, measures of statistical dispersion, and measures of statistical shape. You will also learn about the normal distribution and how to standardize it. You will learn how to do hypothesis testing for a population and for a sample, for a two-tailed test and for a one-tailed test, and use p-values and confidence intervals. You will be able to apply tests such as the z-test and t-test using Minitab and learn how to interpret the results.

By the end of this course, you will be comfortable with statistics and be able to apply your knowledge in real-life. Anyone can be the ideal student here as there are no prior requirements needed.

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Hi! I'm Dana. I'm currently a PhD student in Industrial Engineering at SUNY Binghamton. I finished my B.S. in Architectural Engineering at Jordan University of Science and Technology and my M.S. in Industrial Engineering at my current school. I enjoy learning new things. My research interests are Machine Learning and Artificial Intelligence in Healthcare.

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