for a coin to be fair ; proportion of head should be 0.5.
null Hypothesis: Ho: p= | 0.500 | |
alternate Hypothesis: Ha: p ≠ | 0.500 |
for 0.01 level and two tailed test , critical z= | 2.576 | (from excel:normsinv(0.005) | |||
Decision rule : reject Ho if absolute value of test statistic |z|>2.576 |
sample success x = | 9207 | ||
sample size n = | 17950 | ||
std error σp =√(p*(1-p)/n) = | 0.0037 | ||
sample prop p̂ = x/n=9207/17950= | 0.5129 | ||
z =(p̂-p)/σp=(0.513-0.5)/0.004= | 3.46 |
since test statistic falls in rejection region we reject null hypothesis |
we have sufficient evidence at 0.01 level of significance to conclude that coin is not fair |
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