A 2016 Pew Research poll estimated the proportion of people supporting each presidential candidate in the fall election. They ba
1 answer:
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Answer:
a) estimated proportion of heads observed.
b)
c)
d)
e)
f) In order to be fair the coin needs to have included the 0.5 on the interval, and for this case it's included, so we can say that at 2% of significance we can say that the coin is fair.
Step-by-step explanation:
Notation and definitions
number of heads observed.
random sample taken
estimated proportion of heads observed.
true population proportion of heads observed.
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The population proportion have the following distribution
The point estimator for the population proportion of heads is: Answer with two decimal precision.
estimated proportion of heads observed.
The standard error in this estimate is: Answer with four decimal precision.
The confidence interval would be given by this formula
And the standard error is given by:
The correct table value for the 98% level confidence interval is: Answer with two decimal precision
For the 98% confidence interval the value of and
, with that value we can find the quantile required for the interval in the normal standard distribution.
The lower end point of the CI is: Answer with three decimal precision.
And replacing into the confidence interval formula we got:
The upper end point of the CI is: Answer with three decimal precision.
And the 90% confidence interval would be given (0.341;0.617).
Based on the confidence interval, it is plausible that the coin is fair.
In order to be fair the coin needs to have included the 0.5 on the interval, and for this case it's included, so we can say that at 2% of significance we can say that the coin is fair.