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Jobisdone [24]
3 years ago
7

The auto parts department of an automotive dealership sends out a mean of 4.34.3 special orders daily. What is the probability t

hat, for any day, the number of special orders sent out will be exactly 55
Mathematics
1 answer:
Svetlanka [38]3 years ago
6 0

Answer:

P(X = 5) = 0.166

Step-by-step explanation:

Given

Mean = 4.3

x = 5

Required

Determine the probability that the order is 5

This question can be answered using Poisson distribution.

P(X = x) = \frac{\alpha ^x e^{-\alpha}}{x!}

Where

\alpha is used to represent the mean

and

\alpha = 4.3

x = 5

<em />e = 2.71828<em> ---- Euler's constant</em>

So, we have:

P(X = x) = \frac{\alpha ^x e^{-\alpha}}{x!}

P(X = 5) = \frac{4.3^5  * 2.71828^{-4.3}}{5!}

P(X = 5) = \frac{4.3^5  * 2.71828^{-4.3}}{5* 4 * 3 * 2 *1}

P(X = 5) = \frac{4.3^5  * 2.71828^{-4.3}}{120}

P(X = 5) = \frac{1470.08443  * 0.01356859825}{120}

P(X = 5) = \frac{19.9469850243}{120}

P(X = 5) = 0.1662248752

P(X = 5) = 0.166 <em>Approximated</em>

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A random sample of n = 45 observations from a quantitative population produced a mean x = 2.5 and a standard deviation s = 0.26.
oee [108]

Answer:

P-value (t=2.58) = 0.0066.

Note: as we are using the sample standard deviation, a t-statistic is appropiate instead os a z-statistic.

As the P-value (0.0066) is smaller than the significance level (0.05), the effect is  significant.

The null hypothesis is rejected.

There is enough evidence to support the claim that the population mean μ exceeds 2.4.

Step-by-step explanation:

This is a hypothesis test for the population mean.

The claim is that the population mean μ exceeds 2.4.

Then, the null and alternative hypothesis are:

H_0: \mu=2.4\\\\H_a:\mu> 2.4

The significance level is 0.05.

The sample has a size n=45.

The sample mean is M=2.5.

As the standard deviation of the population is not known, we estimate it with the sample standard deviation, that has a value of s=0.26.

The estimated standard error of the mean is computed using the formula:

s_M=\dfrac{s}{\sqrt{n}}=\dfrac{0.26}{\sqrt{45}}=0.0388

Then, we can calculate the t-statistic as:

t=\dfrac{M-\mu}{s/\sqrt{n}}=\dfrac{2.5-2.4}{0.0388}=\dfrac{0.1}{0.0388}=2.58

The degrees of freedom for this sample size are:

df=n-1=45-1=44

This test is a right-tailed test, with 44 degrees of freedom and t=2.58, so the P-value for this test is calculated as (using a t-table):

P-value=P(t>2.5801)=0.0066

As the P-value (0.0066) is smaller than the significance level (0.05), the effect is  significant.

The null hypothesis is rejected.

There is enough evidence to support the claim that the population mean μ exceeds 2.4.

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