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Hypothesis Testing

Mukundhan Srinivasan Business Analytics asd Inglés 9 fichas

Fichas del conjunto (9)

  1. 1What is Hypothesis?Hypothesis is an claim
  2. 2What is hypothesis testing?process of determining if given hypothesis is true or not
  3. 3what is type 1 errorreject null hypothesis , when null hypothesis is true
  4. 4what is type II erroraccept null hypothesis when H0 is false
  5. 5how do you determine Null and alternate hypothesisclaim you want to validate is put in alternate hypothesis
  6. 6what is p-valuep-value is the probability of type 1 error; ie., probability of getting sample evidence that is equally or unfavorable to the null hypothesis while null hypothesis is actually true.
  7. 7when do you reject null hypothesis?assign acceptable level of risk to the type 1 error; (alpha);
    if p-value < alpha , ie., low risk of rejecting H0 when H0 is true, reject Ho;
  8. 8when do you fail to reject null hypothesis?when p-value > alpha ;
  9. 9How to compute the p-value?determine the test statistic to be used:
    Z, t, Chi etc.,
    compute the value of test statistic : Z-score, t-value , Chi -value;
    ex.,
    Z = (X-bar - Mu)/sigma
    from the value of test statistic , find the probability

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asd Business Analytics Fichas sobre Hypothesis Testing, creado por Mukundhan Srinivasan el 17/04/2016.
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