Answer:
D.The flaw is that the spinner did not include a significance level. A significance level must be included to know if the null hypothesis can be rejected.
Explanation:
In hypotheses testing, null and alternative hypotheses are set. In this example
Let p1 be the probability of getting heads out of a spin and
p2 be the probability of getting tails out of a spin
p1=p2, that is coin is not biased
p1≠p2, that is coin is biased.
To test these hypotheses, sample result observed and p-value of the result express the probability of the sample result occurring under the assumption that null hypothesis is true.
To conclude that the p-value is significant, a significance level has to be set. If the p-value is under the significance level, then null hypothesis can be rejected, otherwise we fail to reject the null hypothesis.