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Stella [2.4K]
2 years ago
11

Hotels’ use of ecolabels. Refer to the Journal of Vacation Marketing (January 2016) study of travelers’ familiarity with ecolabe

ls used by hotels, Exercise 2.64 (p. 80). Recall that adult travelers were shown a list of 6 different ecolabels, and asked, “Suppose the response is measured on a continuous scale from 10 (not familiar at all) to 50 (very familiar).” The mean and standard deviation for the Energy Star ecolabel are 44 and 1.5, respectively. Assume the distribution of the responses is approximately normally distributed a. Find the probability that a response to Energy Star ex- ceeds 43 between 42 and 45 think it is likely that t b. Find the probability that a respo nse to Energy Star falls c. If you observe a response of 35 to an ecolabel, do vou he ecolabel was Energy Star? Explain.
Mathematics
1 answer:
Alexxx [7]2 years ago
8 0

Answer:

a) 0.7486; b) 0.6518; c) No

Step-by-step explanation:

We use z scores to answer these questions.  The formula for a z score is

z=\frac{X-\mu}{\sigma}

Our mean, μ, is 44; our standard deviation, σ, is 1.5.

For part a,

We want P(X > 43):

z = (43-44)/1.5 = -1/1.5 = -0.67

Using a z table, we see that the area under the curve to the left of this is 0.2514.  However, we want the area to the right; this means we subtract from 1:

1 - 0.2514 = 0.7486

For part b,

We want P(42 ≤ X ≤ 45):

z = (42-44)/1.5 = -2/1.5 = -1.3

z = (45-44)/1.5 = 1/1.5 = 0.67

Using a z table, the area under the curve to the left of z = -1.3 is 0.0968.  The area under the curve to the left of z = 0.67 is 0.7486.

The area between them is 0.7486 - 0.0968 = 0.6518.

For part c,

A response of 35 has a z score of

z = (35-44)/1.5 = -9/1.5 = -6

This is 6 standard deviations below the mean.  This is more than the amount required to make this an outlier, or an unlikely response.

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Suppose that 3% of all athletes are using the endurance-enhancing hormone EPO (you should be able to simply compute the percenta
trapecia [35]

Answer:

Step-by-step explanation:

So there is a 3% probability that an athlete is using EPO .

The probability of showing positive on a test when you've used it is 0.99.

3% x 0.99= 2.97%

The probability of a positive result without EPO is 0.1

97% x 0,1 = 9,7 %

My guess is that 2.97% + 9,7% = 12.67% or 0.1267.

I don't know i may be wrong because you've put as an answer 0.0297 but if you like you may take only the first part of the answer.

6 0
2 years ago
A rectangular prism has a length of 114 centimeters, a width of 4 centimeters, and a height of 314 centimeters.
algol13
Hello!
----------
The volume of the prism is 143184 cm^3
----------
WORK: 114*4=456*314=143184
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Have a great day!
4 0
2 years ago
Read 2 more answers
Kelly purchased 6 planters for a total of $18. She wants to purchase another 16 planters at the same unit price. How much will 1
AfilCa [17]

Answer:

Hope this helps

Step-by-step explanation:

If 6 planters= $18   then 16 planters= 16x  18 divided by 6 =$48

5 0
2 years ago
A large manufacturing plant has analyzed the amount of time required to produce an electrical part and determined that the times
WARRIOR [948]

Answer:

We conclude that the new procedure will not decrease the population mean amount of time required to produce the part.

Step-by-step explanation:

We are given that a large manufacturing plant has analyzed the amount of time required to produce an electrical part and determined that the times follow a normal distribution with mean time μ = 45 hours.

A random sample of 25 parts will be selected and the average amount of time required to produce them will be determined. The sample mean amount of time is = 43.118 hours with the sample standard deviation s = 5.5 hours

<em>Let </em>\mu<em> = population mean amount of time required to produce an electrical part using new procedure</em>

SO, <u>Null Hypothesis</u>, H_0 : \mu \geq  45 hours   {means that the new procedure will remain same or increase the population mean amount of time required to produce the part}

<u>Alternate Hypothesis,</u> H_a : \mu < 45 hours   {means that the new procedure will decrease the population mean amount of time required to produce the part}

The test statistics that will be used here is <u>One-sample t test statistics </u>because we don't know about the population standard deviation;

              T.S.  = \frac{\bar X -\mu}{{\frac{s}{\sqrt{n} } } }  ~ t_n_-_1

where,  \mu = sample mean amount of time = 43.118 hours

             s = sample standard deviation = 5.5 hours

             n = sample of parts = 25

So, <u><em>test statistics</em></u>  =  \frac{43.118-45}{{\frac{5.5}{\sqrt{25} } } }  ~ t_2_4

                               =  -1.711

<em>Now at 0.025 significance level, the t table gives critical value of -2.064 at 24 degree of freedom for left-tailed test. Since our test statistics is more than the critical value of t so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region.</em>

Therefore, we conclude that the new procedure will remain same or increase the population mean amount of time required to produce the part.

4 0
1 year ago
14 T 1,000 lb. + 2 T 1,000
Olegator [25]

The answer will be 17 tons.

Step-by-step explanation:

Since we have given that

14 T 1,000 lb. + 2 T 1,000 lb.

As we know that

1\ ton=2000\ lbs\\\\14\ tons=2000\times 14\ lbs\\\\14\ tons=28000\ lbs

So, 14 T 1,000 lb. is given by

28000\ lbs+1000\ lbs\\\\=29000\ lbs

Similarly,

1\ ton=2000\ lbs\\\\2\Tons=2\times 2000\ lbs\\\\2\ tons=4000\ lbs

so,

2T 1,000 lb. is given by

4000+1000\\\\=5000\ lbs

So,  14 T 1,000 lb. + 2 T 1,000 lbs is given by

29000+5000\\\\=34000\ lbs\\\\=\frac{34000}{2000}\\\\=17\ tons

Hence, the answer will be 17 tons.

6 0
2 years ago
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