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Answer:
0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.
Step-by-step explanation:
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
Can be approximated to a normal distribution, using the expected value and the standard deviation.
The expected value of the binomial distribution is:
The standard deviation of the binomial distribution is:
Normal probability distribution
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean and standard deviation
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
When we are approximating a binomial distribution to a normal one, we have that ,
.
In this problem, we have that:
So
Consider the probability that no less than 96 out of 145 people will not get the flu this winter.
More than 95 people, which is the same as 1 subtracted by the pvalue of Z when X = 95. So
has a pvalue of 0.8676
1 - 0.8676 = 0.1324
0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.