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- Hypothesis testing: Fishers exact test and Binomial test
Considering the population of girls with tastes disorders, I do a binomial test with number of success k = 7, number of trials n = 8, and probability of success p = 0 5, to test my null hypothesis H0 = "my cake tastes good for no more than 50% of the population of girls with taste disorders" In python I can run binomtest(7, 8, 0 5, alternative="greater") which gives the following result
- Expected number of ratio of girls vs boys birth - Cross Validated
Expected girls from one couple$ {}=0 5\cdot1 + 0 25\cdot1 =0 75$ Expected boys from one couple$ {}=0 25\cdot1 + 0 25\cdot2 =0 75$ 1 As I said this works for any reasonable rule that could exist in the real world An unreasonable rule would be one in which the expected children per couple was infinite
- How to resolve the ambiguity in the Boy or Girl paradox?
1st 2nd boy girl boy seen boy boy boy seen girl boy The net effect is that even if I don't know which one is definitely a boy, the other child can only be a girl or a boy and that is always and only a 1 2 probability (ignoring any biological weighting that girls may represent 51% of births or whatever the reality is)
- self study - Probability of having 2 girls and probability of having at . . .
Probability of having 2 girls and probability of having at least one girl Ask Question Asked 8 years, 3 months ago Modified 8 years, 3 months ago
- what is the difference between a two-sample t-test and a paired t-test
When you use a paired T-test, you are essentially doing a one-sample test, where your one sample consists of the paired differences between outcomes in two groups If you create a new sample of these difference values and then apply the formula for a one-sample T-test, you will see that this is equivalent to the paired test
- probability - What is the expected number of children until having at . . .
Source: (Harvard Statistics 110: see #17, p 29 of pdf) A couple decides to keep having children until they have at least one boy and at least one girl, and then stop Assume they never have twi
- regression - Building a linear model for a ratio vs. percentage . . .
Suppose I want to build a model to predict some kind of ratio or percentage For example, let's say I want to predict the number of boys vs girls who will attend a party, and features of the party
- probability - How many ways can 5 people sit around a table - can . . .
A probability problem: In how many different ways can 5 people sit around a round table? Is the symmetry of the table important? Answer: If the symmetry of the table is not taken into account the
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