>Null hypothesis: Population mean = 46.5
>Alternative hypothesis: Population mean > 46.5
>Sample mean: 46.3
>Sample standard deviation: 0.7
>Number of tries: 20
How do I find an approximation for the p-value? It should be greater than 10, yes?
Yeah my bad. You wrote the null hypothesis incorrect. its Pop mean less than or equal too.
Look at the t table. X is p vaule
Y is df
so t = -1.27775 and if t> p table value, reject null
So I'm looking in the table, at df=19, for a value similar to 1.27775?
I can find that for df=19 and p-value=0.1 the the t-value is 1.328.
So from that I can draw the conclusion that the p-value must be greater than 0.1 (10%)? Is that correct?
(My table doesn't include p-values above 0.1)
Both Anon in this thread and me landed at 1.27775 though? How did you get 2.093?
The answer I need isn't if I reject the null hypothesis or not, but in what intervall I find the p-value.
These pic for the different options.
It's p-value > 10%, isn't it?
Yeah I think that's all, though I summarized it.
>A shoe company that manufactures running shoes claims the wearer performs better with the use of their shoes. Markus is a promising 400-meter runner who have run a certain route so often that he knows that his average is 46.5 seconds. He now want to test the new shoes and does so by using them 20 times for the 400-meter route. If it can be shown that the new shoes are really better, he will buy them, otherwise he keeps the old ones. Markus test rounds gave the mean 46.3 seconds and standard deviation s = 0.7. Estimate the p-value.
The 400m stuff I reckoned was irrelevant information?