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balu736 [363]
3 years ago
15

Monthly water bills for a city have a mean of $108.43 and a standard deviation of $36.98. Find the probability that a randomly s

elected bill will have an amount greater than $173, which the city believes might indicate that someone is wasting water. Would a bill that size be considered unusual?
Mathematics
2 answers:
GaryK [48]3 years ago
6 0

Answer:

The bill size can be considered usual.

Step-by-step explanation:

Mean (μ) = $108.43

Standard deviation (σ) = $36.98

Now, consider the distribution to be normal distribution :

P(Z=\frac{X-\mu}{\sigma}>\frac{a-\mu}{\sigma})=P(Z>\frac{173-108.43}{36.98})\\\\\implies P(Z>1.75)

Now, finding values of z-score from the table. We get,

P(Z > 1.75) = 0.9599

⇒ 95.99%

So, only 4.01 % of the people in the city wastes water.

Hence, the bill size can be considered usual.

GuDViN [60]3 years ago
3 0

Answer:

The probability that a randomly selected bill will have an amount greater than $173 is 0.04006.    

No, a bill with $173 can not be considered unusual.

Step-by-step explanation:

We have been given that monthly water bills for a city have a mean of $108.43 and a standard deviation of $36.98.

First of all, we will find z-score of data point 173 using z-score formula.

z=\frac{x-\mu}{\sigma}, where,

z=\text{Z-score}

x=\text{Random sample score}

\mu=\text{Mean}

\sigma=\text{Standard deviation}

Substitute the given values:

z=\frac{173-108.43}{36.98}

z=\frac{64.57}{36.98}

z=1.75

Now, we will use formula P(z>a)=1-P(z as:

P(z>1.75)=1-P(z

From normal distribution table, we will get:

P(z>1.75)=1-0.95994

P(z>1.75)=0.04006

Therefore, the probability that a randomly selected bill will have an amount greater than $173 would be 0.04006 or 4.001%.

Since z-scores lower than -1.96 or higher than 1.96 are considered unusual. As the bill with size $173 has z-score of 1.75, therefore, a bill with size $173 can not be considered unusual.

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The government of Preon (a small island nation) was voted in at the last election with 58% of the votes. That was 2 years ago, a
mel-nik [20]

Answer:

a) z=\frac{0.684 -0.58}{\sqrt{\frac{0.58(1-0.58)}{114}}}=2.250  

b) p_v =2*P(z>2.250)=0.0244  

If we compare the p value and the significance level given we see that p_v we have enough evidence to reject the null hypothesis at 5% of significance.

Step-by-step explanation:

Data given and notation

n=114 represent the random sample taken

\hat p=0.684 estimated proportion of people that their approval rating might have changed

p_o=0.58 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Hypothesis

We need to conduct a hypothesis in order to test the claim that true proportion of people that their approval rating might have changed is 0.58 or no.:  

Null hypothesis:p=0.58  

Alternative hypothesis:p \neq 0.58  

Part a

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.684 -0.58}{\sqrt{\frac{0.58(1-0.58)}{114}}}=2.250  

Part b: Statistical decision  

The significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a bilateral test the p value would be:  

p_v =2*P(z>2.250)=0.0244  

If we compare the p value and the significance level given we see that p_v we have enough evidence to reject the null hypothesis at 5% of significance.

7 0
3 years ago
A sales manager collected data on annual sales for new customer accounts and the number of years of experience for a sample of 1
Pavlova-9 [17]

Answer:

(1)-

b1 =~3.4

bo= ~ 82.8

(2)- ý=[82.8]+[3.4] x

(3)- The change in annual sales ($1000) for every year of experience is= 3.4

(4)-r^2=~ 0.847

Estimated annual sales= $110514

Step-by-step explanation:

(1)- b1 = 3.4606

=~3.4

bo = 82.8296

= ~ 82.8

(2)-

ý=[82.8]+[3.4] x

(3)-The change in annual sales ($1000) for every year of experience is= 3.4

(4)- r^2 = 0.84776

=~ 0.847

Percentage of the variation in annual sales can be explained by the years of experience

of the salesperson 84.7%.

Estimated annual sales

= 82.8296 + 3.4606 × 8 ($ 1000).

= 110.5144 ( $1000)

= $ 110514:4

= $110514

5 0
3 years ago
You deposit $1500 in a stock account. The account starts losing 2.6% interest annually. How must money do you have after 2 years
Serhud [2]

Answer: M(2) = $1500*(1 - 0.026)^2 = $1423.01

Step-by-step explanation:

Initially in the acount there is $1500

You lose a 2.6% (or 0.026 in decimal form) per year, so after the first year you have:

M = $1500 - 0.026*$1500 = $1461

After other year, you lose oter 2.6%

M = $1461 - 0.026*$1461 = $1423.01

The equation can be writen as:

M(t) = $1500*(1 - 0.026)^t

Where t is the number of years, you can use t = 2 and get:

M(2) = $1500*(1 - 0.026)^2 = $1423.01

3 0
3 years ago
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Reptile [31]
So subtract 55 from 35

35 - 55 = -20

then, put -20 over 55

-20/55 equals -0.36 repeating, rounded to -0.36, which equals 36%

the negative stands for decrease, so it's around 36% decrease
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The width and length of a rectangle are consecutive integers. if the perimeter of the rectangle is 374 inches, find the width an
shtirl [24]
2(93+94)=374 . It is the answer it was obtained by trial and error method
4 0
3 years ago
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