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@@ -674,11 +674,15 @@ A test of a statistical hypothesis, where the region of rejection is on only one
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**For example**, suppose the null hypothesis states that the mean is less than or equal to 10. The alternative hypothesis would be that the mean is greater than 10. The region of rejection would consist of a range of numbers located on the right side of sampling distribution; that is, a set of numbers greater than 10.
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Example :- a college has ≥ 4000 student or data science ≤ 80% org adopted.
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##### (2) Two Tail Test
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A test of a statistical hypothesis, where the region of rejection is on both sides of the sampling distribution, is called a **two-tailed test**.
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**For example**, suppose the null hypothesis states that the mean is equal to 10. The alternative hypothesis would be that the mean is less than 10 or greater than 10. The region of rejection would consist of a range of numbers located on both sides of sampling distribution; that is, the region of rejection would consist partly of numbers that were less than 10 and partly of numbers that were greater than 10.
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Example : a college != 4000 student or data science != 80% org adopted
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# 12. Statistical Testing
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* Data should follow a normal distribution
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#### (2) Non-Parametric Tests:
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* Chi-Square Testing
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### A/B Testing:
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##### Problem 1: Two-Tailed Test
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The CEO of a large electric utility claims that 80 percent of his 1,000,000 customers are very satisfied with the service they receive. To test this claim, the local newspaper surveyed 100 customers, using simple random sampling. Among the sampled customers, 73 percent say they are very satisified. Based on these findings, can we reject the CEO's hypothesis that 80% of the customers are very satisfied? Use a 0.05 level of significance.
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