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Step-by-step explanation:
With a fair die, the probability of rolling a 6 is 1/6 or 0.167.
For the baked die, the low end of the confidence interval is 0.215 − 0.057 = 0.158.
Since 0.167 is within the range of the confidence interval, there is not convincing statistical evidence that a baked die will have a higher probability of rolling a 6 than a fair die.
You can use testing of hypothesis here.
No, the confidence interval laid down by Clarke doesn't provide convincing evidence that the number 6 will land face up more often on the baked die than on a fair die.
How to form the hypothesis and test it?
The question asks for comparison between probability of obtaining 6 on baked die vs on fair die.
The given confidence interval's lower limit is 0.215 - 0.057 = 0.158
The upper limit is 0.215 + 0.057 = 0.272
The probability of obtaining 6 on a fair die is 0.167 which lies inside this confidence interval.
The null hypothesis states that there is no difference between baked die's 6 outputting probability and the old die's 6 outputting probability.
Since the probability of obtaining 6 is lying inside the CI of baked die's 6 outputting probability, thus we can't reject null hypothesis on level of significance = 1- 0.95 = 0.05.
Thus, the confidence interval laid down by Clarke doesn't provide convincing evidence that the number 6 will land face up more often on the baked die than on a fair die.
Learn more about confidence interval here:
https://brainly.com/question/2396419