If we reject the null hypothesis, then the original clam is accepted. We express this claim in symbolic form: p>0.5 (here p denotes the proportion of baby girls) Null hypothesis must say “equal to”, so H0 : p=0.5 Alternative hypothesis must express difference: H1 : p>0.5 Original claim is now the alternative hypothesisĮxample 1 (continued) We always test the null hypothesis. (not equal, less than, greater than) Alternative Hypothesis: H1Įxample 1 Claim: the XSORT method of gender selection increases the likelihood of having a baby girl. The symbolic form of the alternative hypothesis must use one of these symbols: . The alternative hypothesis (denoted by H1) is the statement that the parameter has a value that somehow differs from the null hypothesis. Either reject H0 or fail to reject H0 (in other words, accept H0 ). The null hypothesis (denoted by H0) is a statement that the value of a population parameter (such as proportion, mean, or standard deviation) is equalto some claimed value. Rare Event Rule for Inferential Statistics If, under a given assumption, the probability of a particular observed event is exceptionally small, we conclude that the assumption is probably not correct. If 13 or 14 couples have girls, the method is probably increases the likelihood of a girl. If 6 or 7 or 8 have girls, the method probably doesnot increase the likelihood of a girl. This is a claim about proportion (of girls) To test this claim 14 couples (volunteers) were subject to XSORT treatment. We will study hypothesis testing for population proportion p population mean population standard deviation Main ObjectivesĮxample Claim: the XSORT method of gender selection increases the likelihood of having a baby girl. A hypothesis test is a standard procedure for testing a claim about a property of a population. In 2014, is studying done on all City University of New York, students showed the mean of students in the first year College to be 20 points three years old with a standard division of 1.2 years in 2018 in 2018, Data collected from example of 100 city University of New York, students showed the middle age of students in the first year of college to be 19.8 years old with a standard division of 15 years.In statistics, a hypothesis is a claim or statement about a property of a population. So the French questions to select the numbers that are parameters and the second questions is select the numbers that are statistics. So a parameter with actually any details or those details that defines a population. For example, for example, we have the population mean we have the population variance, we have the population size, it's a C while is statistic, it's those details that defines a sample. The example of statistics include your sample mean your sample variance, your sample size courtesy. So let's go back to our question in 24 is studying done on all city University of New york to ensure that the main age of students in the first year of of college to be 20.3 years with a standard deviation of 1.3 years. So that means our population mean mu is of course to 20.3 and our population standard deviation sigma, we have that because to 1.2 years. So, so that means that we have for question one, we have this B 20.3 and 1.2. So for question one, our answer is option B. For a second question it says selecting numbers that are statistic.
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