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Oksi-84 [34.3K]
3 years ago
11

Assume that when adults with smartphones are randomly​ selected, 53​% use them in meetings or classes. If 7 adult smartphone use

rs are randomly​ selected, find the probability that exactly 5 of them use their smartphones in meetings or classes.
Mathematics
1 answer:
Dominik [7]3 years ago
3 0

Answer:

P(X=5)=(7C5)(0.53)^5 (1-0.53)^{7-5}=0.194

Then the probability that exactly 5 of them use their smartphones in meetings or classes is 0.194

Step-by-step explanation:

Let X the random variable of interest "number of adults with smartphones", on this case we now that:

X \sim Binom(n=7, p=0.53)

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 we want to find this probability:

P(X=5)

Using the probability mass function we got:

P(X=5)=(7C5)(0.53)^5 (1-0.53)^{7-5}=0.194

Then the probability that exactly 5 of them use their smartphones in meetings or classes is 0.194

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Answer:

a) Me=2.02 \frac{6.827}{\sqrt{42}}=2.13

b) So on this case the 95% confidence interval would be given by (30.53;34.79)    

c) On this case the confidence interval not contains the price $40, so we can conclude that the prices for Hong Kong mid-range restaurants are significant less than the prices for mid range restaurants in Tokyo at 5 % of significance.

Step-by-step explanation:

1) Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

\bar X represent the sample mean for the sample  

\mu population mean (variable of interest)

s represent the sample standard deviation

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2) Part a

The margin of error is given by:

Me=t_{\alpha/2}\frac{s}{\sqrt{n}}

In order to calculate the critical value t_{\alpha/2} we need to find first the degrees of freedom, given by:

df=n-1=42-1=41

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.025,41)".And we see that t_{\alpha/2}=2.02

Me=2.02 \frac{6.827}{\sqrt{42}}=2.13

3) Part b

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

In order to calculate the mean and the sample deviation we can use the following formulas:  

\bar X= \sum_{i=1}^n \frac{x_i}{n} (2)  

s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}} (3)  

The mean calculated for this case is \bar X=32.66

The sample deviation calculated s=6.827

Now we have everything in order to replace into formula (1):

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4) Part d

On this case the confidence interval not contains the price $40, so we can conclude that the prices for Hong Kong mid-range restaurants are significant less than the prices in mid range restaurants in Tokyo at 5 % of significance.

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