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Z scores table
Tabulates the likelihood that a certain value or a more extreme value would be observed .
- in standard normal distribution
Alpha vid p value
The number alpha is the threshold value that we measure p-values against.
Alpha: the confidence level of our test, gives us the probability of a type I error.
Pvalue: The probability that the observed statistic occurred by chance alone,
The p-value is less than or equal to alpha. In this case, we reject the null hypothesis. When this happens, we say that the result is statistically significant. In other words, we are reasonably sure that there is something besides chance alone that gave us an observed sample.
The p-value is greater than alpha. In this case, we fail to reject the null hypothesis. When this happens, we say that the result is not statistically significant
Four assumptions for linear regression
1. linearity
2. Independence
3. Normality
4. Heteroscedasticity
P42
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