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Lesechka [4]
2 years ago
11

For a binomial process, the probability of success is 40 percent and the number of trials is 5. Find the standard deviation.

Mathematics
1 answer:
Yakvenalex [24]2 years ago
7 0

Answer:

Sd(X) =\sqrt{1.2}=1.095

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".

Solution to the problem

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

X \sim Binom(n=5, p=0.4)

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!}

The mean for the binomial distribution is given by:

E(X) =np=5*0.4=2

And the variance is given by:

Var(X) = np(1-p) =5*0.4*(1-0.4)=1.2

And the deviation is just the square root of the variance so we got:

Sd(X) =\sqrt{1.2}=1.095

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Step-by-step explanation:

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Read 2 more answers
A sample of n = 4 scores is obtained from a population with a mean of 70 and a standard deviation of 8. If the sample mean corre
jeka57 [31]

Answer:

The value of the sample mean is 78.

Step-by-step explanation:

We are given that a sample of n = 4 scores is obtained from a population with a mean of 70 and a standard deviation of 8.

Also, the sample mean corresponds to a z score of 2.00.

<em>Let </em>\bar X<em> = sample mean</em>

The z-score probability distribution for a sample mean is given by;

              Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean = 70

            \sigma = standard deviation = 8

            n = sample size = 4

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

<u>Now, we are given that the sample mean corresponds to a z score of 2.00 for which we have to find the value of sample mean;</u>

So, <em><u>z-score</u></em> formula is given by ;

                  z-score = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } = \frac{\bar X-70}{\frac{8}{\sqrt{4} } }

                      2.00 =  \frac{\bar X-70}{\frac{8}{\sqrt{4} } }

                      2.00 =  \frac{\bar X-70}{4 } }

                     \bar X = 70+(2 \times 4)

                     \bar X = 70 + 8 = 78

<em>Therefore, the value of the sample mean is 78.</em>

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2 years ago
A computer program in Shannon’s computer carries out a single mathematical operation in 1.5 × 10-6 seconds. How much time would
kykrilka [37]

1/1.5 * 10^-6 = 2500/x

x = 1.5 * 10^-6 * 2500

x = 0.00375 or 3.75 * 10^-3 second.

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3 years ago
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