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6 the Simulation Process in the Determination and Definition 2018-2025

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Welcome! In this video, I’m going to briefly go over the essentials of hypothesis testing, and in the second part, I will test a claim about a population mean. A hypothesis is simply a claim or statement about a population parameter such as the population mean, variance, proportion, and so on. In inferential statistics, we study a sample or samples, and use the results to generalize on an entire population or populations. Suppose we make a claim that the average age of all college students in a city is 23, which we write as: μ = 23 Since this hypothesis contains equality, we refer to it as the null hypothesis, represented by Ho. The complement or opposite of the null is the alternative hypothesis, represented by Ha or H1. In this case, the alternative will be that the mean is not equal to 23. We use these hypotheses for two- tailed tests because the alternative basically means that the mean could be less or greater than 23. Suppose instead we want to test if the mean is less than 23

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