# 1 Tailed vs 2 Tailed Test and Null vs Alternative Hypothesis

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1. Explain the difference between a left-tailed, two-tailed, and right-tailed test. When would we choose a two-tailed test? How can we tell the direction of the test by looking at a pair of hypothesis? How can we tell which direction (or no direction) to make the hypothesis by looking at the problem statement (research question)?

2. Explain the difference between the null hypothesis and the alternate hypothesis. How is the null hypothesis chosen (why is it null)? What is the importance of rejecting the null hypothesis in relation of the sample to the population? With a failure to reject the null hypothesis, can we make a general statement about the population based on the sample findings?

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The alternate hypothesis is often the hypothesis that you think might be true. The null hypothesis is the "default" state of affairs. To understand left-, two-, and right- tailed tests, I think you need to understand the difference between null and alternative hypotheses. This is also discussed. This solution is 620 words.

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2. Explain the difference between the null hypothesis and the alternate hypothesis. How is the null hypothesis chosen (why is it null)? What is the importance of rejecting the null hypothesis in relation of the sample to the population? With a failure to reject the null hypothesis, can we make a general statement about the population based on the sample findings?

The alternate hypothesis is often the hypothesis that you think might be true. The null hypothesis is the "default" state of affairs.

The null hypothesis is the one that you reject or accept. If you reject the null hypothesis, then you can assume that the alternative hypothesis is true, but you're really only testing the null hypothesis.

When you do a statistical hypothesis test, you have a sample taken from a population. Your hypotheses are about the population, and you take a sample to gather evidence about that population. If the sample provides you enough evidence, then you can reject the null hypothesis (and assume the alternative hypothesis). If the sample ...

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