Null hypotheses question for hw. help me asap. pls?
A random sample of 50 suspension helmets used by motorcycle riders and automobile race-car drivers was subjected to an impact test, and on 18 of these helmets some damage was observed. (a) Is the proportion of damaged helmets different from 0.3? Use a = 0.05, write down the null and alternative hypotheses, the observed test statistic, the P-value and state your conclusion in the context of the question. Check the assumptions required for applying this test. (b) Find a 95% confidence interval on the true proportion of helmets that would show damage from this test. (c) Using the point estimate of p obtained from the preliminary sample of 50 helmets, how many helmets must be tested to be 95% confident that the error in estimating the true value of p is less than 0.02?
Can you prove or disprove the Buddha hypothesis?
Almost all answers on Buddhism will try to argue this way. There is no need to write all those answers here. You will have to pick which suits you best.Some of the best questions will come up with searches like vipassana, seven factors, eightfold noble path, dependent origination. Type these on search bar. Enjoy.An article i found on Internet The Buddha’s Hypothesis please ignore this if you already know about this. All the best.
Null and alternative hypothesis (for a two tailed test) (10 points best answers)?
Null Hypothesis Ho: There is no difference in the mean mpg of small cars than there is in hybrid cards, i.e., µ=26.0 mpg. Research Hypotheis Ha: There is a difference... µ≠26.0 mpg Now we need a sample mean because we want to determine the probability, given the true mean is 26.0 mpg, of obtaining a sample mean of whatever it is you obtained. For ease of explanation, let's pretend your sample mean was 25 with a standard deviation of 3. To find that probability we must translate your statistic into a test statistics: t = (25-26)/(3/sqrt(10)) Therefore, your test statistics is -1.05. Looking this up on the student's t-distribution, with 9 degress of freedom, that probability, for a two-tailed test is greater than 20 percent (the best we can do with the chart is bracket that probability--for an exact probability use your TI-83 or 84). Now, because that probability, i.e., the "p-value" is so large, we do NOT reject the null hypothesis and we conclude: There is not sufficient evidence to reject the claim that there is no difference between the cars' mpg.
PLEASE HELP ME! Prob/Stat: Statistical tests ex. 5 stars?
1) it is the alternate hypothesis the determines which type of test is used. If the alternate hypothesis is of the form "not equal to", for example, a two-tailed test will be used; if it is of the form "greater than", a left-tailed test will be used 2) No. It simply means that there isn't enough statistical evidence to reject it. We're typically looking for something that has a 10% or less probability of occurring if the null hypothesis is true. We could simply have drawn a sample that happens to contain an unusual number of observations close to the mean of the hypothesized distribution. 3) I would use as the null hypothesis "these new subcompact models get at least 47 miles per gallon". We suspect that the mileage might be over-rated, and, even if we didn't, we wouldn't mind if the mileage were higher, but we would if it were lower.