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Lapatulllka [165]
1 year ago
4

In the accompanying table, the random variable x represents the number of televisions in a household in a certain country. Deter

mine whether or not the table is a probability distribution. If it is a probability distribution, find its mean and standard deviation.xP(x)00.0310.1220.2430.3140.1850.12
Mathematics
1 answer:
bonufazy [111]1 year ago
5 0

For the table to be a complete probability distribution we need to check that the addition of the probabilities (P(x)) is equal to 1.

0.03+0.12+0.24+0.31+0.18+0.12=1

As it is equal to one, we can be certain that no household has more than 6 TVs. The function P(x) is indeed a probability distribution

Now, we need to find its mean and standard deviation

\begin{gathered} \operatorname{mean}=\mu=\sum ^{}_{}xP(x) \\ \Rightarrow\mu=0\cdot0.03+1\cdot0.12+2\cdot0.24+3\cdot0.31+4\cdot0.18+5\cdot0.12 \\ \Rightarrow\mu=2.85 \end{gathered}

And the Standard Deviation is:

SD=\sigma=\sqrt[]{\sum^{}_{}}P(x)(x-\mu)^2

Then, in our case:

\begin{gathered} \sigma=\sqrt[]{0.03(-2.85)^2+0.12(-1.85)^2+0.24(-0.85)^2+0.31(0.15)^2+0.18(1.15)^2+0.12(2.15)^2} \\ \Rightarrow\sigma=1.2757\ldots \end{gathered}

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Ivanshal [37]

Answer:

20.9-2.01\frac{7.65}{\sqrt{50}}=18.73  

20.9+2.01\frac{7.65}{\sqrt{50}}=23.07  

The 95% confidence interval would be given by (18.73;23.07)  

Step-by-step explanation:

Assuming these data

20 40 22 22 21 21 20 10 20 20

20 13 18 50 20 18 15 8 22 25

22 10 20 22 22 21 15 23 30 12

9 20 40 22 29 19 15 20 20 20

20 15 19 21 14 22 21 35 20  22

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".  

Solution to the problem

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

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

First we need to find the sample mean with the following formula:

\bar X= \frac{\sum_{i=1}^n X_i}{50}=20.9

And in order to find the sample standard deviation we can use the following formula:

s= \sqrt{\frac{\sum_{i=1}^n (x_i -\bar x)^2}{n-1}}=7.65

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

df=n-1=50-1=49  

Since the Confidence is 0.95or 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(0.025,49)".And we see that t_{\alpha/2}=2.01  

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

20.9-2.01\frac{7.65}{\sqrt{50}}=18.73  

20.9+2.01\frac{7.65}{\sqrt{50}}=23.07  

So on this case the 95% confidence interval would be given by (18.73;23.07)  

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The school band sold 200 tickets to their conce
Kobotan [32]

Answer:

The  

90

adult tickets sold were  

45

%

of the  

200

tickets sold to the concert.

Explanation:

Since  

90

tickets out of  

200

were adult tickets, the percentage (represented as  

x

) can be calculated by this equation:

200

×

x

100

=

90

2

200

×

x

100

=

90

2

x

=

90

Divide both sides by  

2

.

x

=

45

Step-by-step explanation:

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