If np greater than or equals≥5 and nqgreater than or equals≥5, estimate Upper P (at least 11 )P(at least 11) with nequals=1313 and pequals=0.60.6 by using the normal distribution as an approximation to the binomial distribution; if npless than<5 or nqless than<5, then state that the normal approximation is not suitable.

We assume the independence condition on each trial, so then we can conclude that the normal approximation for this case is suitable.

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Let X the random variable of interest, on this case we now that:

The probability mass function for the Binomial distribution is given as:

Where (nCx) means combinatory and it's given by this formula:

Solution to the problem

We need to check the conditions in order to use the normal approximation.

We assume the independence condition on each trial, so then we can conclude that the normal approximation for this case is suitable.

if you need , reply with more info. u.

isaiah walks 3 miles due north, turns and then 5 miles due east. how far is he from his starting point?

a^2 + b^2 = c^2

let c = distance from starting point.

(3)^2 + (5)^2 = c^2

9 + 25 = c^2

34 = c^2

sqrt{34} = sqrt{c^2}

sqrt{34} = c