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Applied Statistics

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    • Category : Natural Sciences > Math
    • Keyword : T Test,Confidence Interval Estimation,Hypothesis Testing,eZ SPC Software,Linear Regression
    • Taught by : Changwook Kang
    • Created By : Hanyang University
    • Offered By : KOCW
    • Date Added : 2016.12.26

    In this coursestatistical analyzing method is learnedwhich helps make rational decision by analyzing the data

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Number of lessons: 22 facebook twitter line whatsapp kakaotalk

차시별 강의
No Contents Type & Play Subject Description URL
1. Type video Subject Description
  • This lecture identifies the principles of Sampling Distribution, especially about the relevant features of normal distribution, sample mean of chi-squared distribution and sample standrad deviation
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2. Type video Subject Description
  • This lecture identifies the principles of t test and its features
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3. Type video Subject Description
  • This lecture identifies the principles of t test and its features
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4. Type video Subject Description
  • This lecture briefly introduces the hypothesis and examines steps of Hypothesis testing by caculating
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5. Type video Subject Description
  • This lecture examines hypothesis testing on Z- and t-test and caculates the rejection region
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6. Type video Subject Description
  • This lecture identifies hypothesis testing on difference in means
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7. Type video Subject Description
  • This lecture compares the method of using paired t test and confidence interval estimation by demonstrating examples
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8. Type video Subject Description
  • This lecture revises the importance of binominal distribution in daily life and introduces steps that includes using hypothesis
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9. Type video Subject Description
  • This lecture revises the importance of binominal distribution in daily life and introduces steps that includes using hypothesis
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10. Type video Subject Description
  • This lecture explaines steps of goodness of fit test for independency and homogenity testing
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11. Type video Subject Description
  • This lecture examines the steps of developing simple linear regression and caculation of its parameters
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12. Type video Subject Description
  • This lecture identifies principles of Simple linear regression
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13. Type video Subject Description
  • This lecture identifies estimation of sigma squares
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14. Type video Subject Description
  • This lecture identifies coefficient of determination
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15. Type video Subject Description
  • This lecture identifies coefficient of determination
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16. Type video Subject Description
  • This lecture identifies principles of Multiple linear regression
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17. Type video Subject Description
  • This lecture explaines estimated value and features by using multiple linear regression
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18. Type video Subject Description
  • This lecture explaines estimated value and features by using multiple linear regression
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19. Type video Subject Description
  • This lecture explaines estimated value and features by using multiple linear regression; and explains analysis of variance
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20. Type video Subject Description
  • This lecture examines analysis of variance
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21. Type video Subject Description
  • This note identifies principles of experiments design
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22. Type video Subject Description
  • This note identifies the features of contrast and explains the concept
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