Solution:
5 real-life examples of Hypothesis testing are:
(a):
Essential oils are becoming more and more popular. Chamomile, lavender, and ylang-ylang are commonly touted as anxiety remedies. Perhaps you'd like to test the healing powers of peppermint essential oil. Your hypothesis might go something like this:
(b):
Is it true that vitamin C has the ability to cure or prevent the common cold? Or is it just a myth? There's nothing like an in-depth experiment to get to the bottom of it all. A potential hypothesis test could look something like this:
(c):
Public Opinion About President Step 1. Determine the null and alternative hypotheses. Null hypothesis: There is no clear winning opinion on this issue; the proportions who would answer yes or no are each 0.50. Alternative hypothesis: Fewer than 0.50, or 50%, of the population would answer yes to this question. The majority do not think Clinton has the honesty and integrity to be president.Â
(d):
Quitting Smoking with Nicotine Patches Compared the smoking cessation rates for smokers randomly assigned to use a nicotine patch versus a placebo patch. Null hypothesis: The proportion of smokers in the population who would quit smoking using a nicotine patch and a placebo patch are the same. Alternative hypothesis: The proportion of smokers in the population who would quit smoking using a nicotine patch is higher than the proportion who would quit using a placebo patch.Â
(e):
Weight Loss for Diet vs Exercise The sample mean difference = 5.9 – 4.1 = 1.8 kg and the standard error of the difference is 0.83. Step 1. Determine the null and alternative hypotheses. Null hypothesis: No difference in average fat lost in population for two methods. Population mean difference is zero. Alternative hypothesis: There is a difference in average fat lost in population for two methods. Population mean difference is not zero.
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