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MArishka [77]
3 years ago
8

The fill weight of a certain brand of adult cereal is normally distributed with a mean of 910 grams and a standard deviation of

5 grams. If we select one box of cereal at random from this population, what is the probability that it will weigh less than 900 grams?
Mathematics
2 answers:
raketka [301]3 years ago
4 0

Answer:

2.28% probability that it will weigh less than 900 grams

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

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.

In this problem, we have that:

\mu = 910, \sigma = 5

What is the probability that it will weigh less than 900 grams?

This probability is the pvalue of Z when X = 900. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{900 - 910}{5}

Z = -2

Z = -2 has a pvalue of 0.0228.

2.28% probability that it will weigh less than 900 grams

mixas84 [53]3 years ago
3 0

Answer:

??

Step-by-step explanation:

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Solution to the problem

Let X the random variable of interest "number of automobiles with both headligths working", on this case we now that:  

X \sim Binom(n=8, p=0.9)  

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

P(X)=(nCx)(p)^x (1-p)^{n-x}  

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

nCx=\frac{n!}{(n-x)! x!}  

And for this case we want to find this probability:

P(X \geq 7) = P(X=7) +P(X=8)

And we can find the individual probabilities using the probability mass function

P(X=7)=(8C7)(0.9)^7 (1-0.9)^{8-7}=0.3826  

P(X=8)=(8C8)(0.9)^8 (1-0.9)^{8-8}=0.4305  

And replacing we got:

P(X \geq 7) = P(X=7) +P(X=8)=0.3826 +0.4305=0.8131

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