Statistics
posted by Robert on .
A coin was flipped 60 times and came up heads 38 times. (a) At the .10 level of significance, is the coin biased toward heads? Show your decision rule and calculations. (b) Calculate a pvalue and interpret it

Here is one way you might do this problem:
Null hypothesis is that the coin is fair. Ho: p = .5
Alternate hypothesis is that the coin is unfair. Ha: p not equal to .5
Using the binomial formula: P(x) = (nCx)(p^x)[q^(n  x)]
...where n = number of coin tosses, x = number of times came up heads, p = probability given in the null hypothesis, q = 1  p.
Using your data:
P(38) = (60C38)(.5^38)(.5^22) = ?
I'll let you finish the calculation.
If the alternate hypothesis uses "not equal to" then you multiply the result of the calculation by 2.
Reject the null hypothesis if the test statistic above is less than .10 (significance level); otherwise, do not reject null.