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Alex73 [517]
3 years ago
12

A recent study examined the association between high blood pressure and increased risk of death from cardiovascular disease. The

re were 2676 men with low blood pressure and 3338 men with high blood pressure. In the low-blood-pressure group, 21 men died from cardiovascular disease; in the high-blood-pressure group, 55 died.
Compute the 95% confidence interval for the difference in Proportions.

Do the study data confirm that death rates are higher among men with high blood pressure?

State hypotheses, carry out a significance test, and give your conclusions.
Mathematics
1 answer:
liubo4ka [24]3 years ago
8 0

Answer:

hyolpotheses people death ate 90 and the significance is their on their hand pls mark me as the brainliset hope it helps you

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Step-by-step explanation:

Given,

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Let the two numbers = x

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Answer:

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P(X = 0) = C_{6,0}.(0.1416)^{0}.(0.8584)^{6} = 0.4

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Expectation: 0.8496

Variance: 0.7293

Step-by-step explanation:

For each egg, there are only two possible outcomes. Either it is broken, or it is not. The probability of an egg being broken is independent from other eggs. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

The expected value of the binomial distribution is:

E(X) = np

The variance of the binomial distribution is:

V(X) = np(1-p)

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The probability that no eggs are broken is 0.4.

This means that P(X = 0) = 0.4. So

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

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(1 - p) = 0.8584

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Each egg has a 0.1416 probability of being broken

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