1.
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Type
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Subject
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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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Url
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2.
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Type
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Subject
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Description
- This lecture identifies the principles of t test and its features
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Url
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3.
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Type
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Subject
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Description
- This lecture identifies the principles of t test and its features
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Url
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4.
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Type
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Subject
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Description
- This lecture briefly introduces the hypothesis and examines steps of Hypothesis testing by caculating
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Url
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5.
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Type
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Subject
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Description
- This lecture examines hypothesis testing on Z- and t-test and caculates the rejection region
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Url
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6.
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Type
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Subject
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Description
- This lecture identifies hypothesis testing on difference in means
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Url
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7.
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Type
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Subject
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Description
- This lecture compares the method of using paired t test and confidence interval estimation by demonstrating examples
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Url
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8.
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Type
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Subject
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Description
- This lecture revises the importance of binominal distribution in daily life and introduces steps that includes using hypothesis
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Url
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9.
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Type
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Subject
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Description
- This lecture revises the importance of binominal distribution in daily life and introduces steps that includes using hypothesis
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Url
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10.
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Type
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Subject
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Description
- This lecture explaines steps of goodness of fit test for independency and homogenity testing
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Url
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11.
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Type
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Subject
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Description
- This lecture examines the steps of developing simple linear regression and caculation of its parameters
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Url
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12.
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Type
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Subject
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Description
- This lecture identifies principles of Simple linear regression
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Url
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13.
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Type
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Subject
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Description
- This lecture identifies estimation of sigma squares
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Url
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14.
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Type
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Subject
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Description
- This lecture identifies coefficient of determination
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Url
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15.
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Type
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Subject
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Description
- This lecture identifies coefficient of determination
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Url
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16.
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Type
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Subject
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Description
- This lecture identifies principles of Multiple linear regression
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Url
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17.
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Type
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Subject
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Description
- This lecture explaines estimated value and features by using multiple linear regression
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Url
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18.
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Type
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Subject
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Description
- This lecture explaines estimated value and features by using multiple linear regression
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Url
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19.
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Type
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Subject
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Description
- This lecture explaines estimated value and features by using multiple linear regression; and explains analysis of variance
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Url
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20.
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Type
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Subject
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Description
- This lecture examines analysis of variance
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Url
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21.
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Type
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Subject
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Description
- This note identifies principles of experiments design
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Url
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22.
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Type
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Subject
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Description
- This note identifies the features of contrast and explains the concept
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Url
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