Suppose that 50% of the watches produced by a certain factory are defective. A store buys a box with 400 watches produced by this factory. Assume That this is a random sample.(a) Write an expression for the exact probability that at least 215 watches out ofthe 400 are defective. You do not need to numerically evaluate it.(b) Argue whether the normal or the Poisson approximation is appropriate to es-timate the above probability and then estimate it.

Step-by-step explanation:

Given

---- proportion of watches with defects

--- Number of watches

Solving (a): Represent at least 215 of 400 are defective

In inequalities, at least means:

So, the probability is represented as:

Solving (b): Calculate

Normal or Poisson: Normal distribution is characterized by 2 parameters and .

These two parameters can be easily calculated from the given parameters in the question. So, we solve using normal distribution

Start by calculating the mean

Calculate standard deviation

By continuity correction, we have:

So, we have:

Calculating , we have:

Calculate z score

So, we have:

Using the z score probability table, we have:

So, we have:

step-by-step explanation:

20% of 120 is 24. if you subtract 24 from 120 you get 96

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step-by-step explanation: