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ra1l [238]
2 years ago
5

Dr. Spike is a big fan of Bojangles and is particularly interested in the popularity of its celebrated wings dinner. Starting fr

om January, he would visit the local Bojangles on randomly selected days. Upon each visit, he would ask the manager how many wings dinners were sold on the previous day. By the end of March, he had visited Bojangles for a total of 31 times and thus collected 31 sale records of wings dinners. It was found that the sample mean was 26.2 sales with a sample standard deviation of 12.8. He would like to use this information to estimate the average number of wings dinner sold per day between January and March using a confidence interval. (This particular Bojangles sold 10725 wings dinners last year, but Dr. Spike does not know this.)
Which of the following facts is not relevant for evaluating whether or not a confidence interval for the mean number of wings dinners sold per day can be calculated using this data? Select one:

a. The number of sampled days is 32, which is a sufficient sample size for the confidence interval to be meaningful.
b. The days he visited were randomly selected, so the sample is representative of the population.
c. Since three sample standard deviations below the sample mean is negative (26.2-3*12.8 = -12.2), the distribution of wings dinner sales is positively skewed, and therefore not normal so the confidence interval will not be meaningful.
d. All of the above statements are relevant.
Mathematics
1 answer:
Effectus [21]2 years ago
6 0

Answer:

c

Step-by-step explanation:

If data is skewed then the upper and lower half have different amount of spread. Here there is no proof to say that data is not spread around mean or there are outliers. Therefore we can't say that the distribution of wings dinners sales in not normal.

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That's a lot of money and words. I don't appreciate this. I would probably just break down and cry tbh
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2 years ago
The distributive property can be applied to which expression to factor 12x3 – 9x2 4x – 3?
fomenos
3x2(4x<span> – 3) + 1(4</span>x<span> – 3) </span>
3 0
1 year ago
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Food allergies affect an estimated 7% of children under age 5 in the US. What is the probability that in a kindergarden class of
bezimeni [28]

Answer:

Probability of atleast one of 12 student has food allergies ≈ 0.58 ( approx)

Step-by-step explanation:

Given: Probability of a children under age 5 has food allergies = 7%

                                                                                                        =\frac{7}{100}

To find : Probability of atleast one of 12 student has food allergies

Probability of a chindren under age 5 does not have food allergies = 1-\frac{7}{100}

                  ⇒ prob = \frac{93}{100}

now we find Probability of atleast one of 12 student has food allergies this means we have to find prob of 1 student, 2 student, 3 student, till 12 student have allergy out of 12 student of class then add all prob.

But instead of finding all these probability we find probability of student having no allergy.i.e., 0 student then subtract it from 1(total probability)

Probability of 0 student having allergy out of 12 student = (\frac{93}{100})^{12}

Therefore, Probability of atleast one of 12 student has food allergies

                  = 1-(\frac{93}{100})^{12}

                  = 0.581403702521

                  ≈ 0.58 ( approx)

                 

8 0
1 year ago
Read 2 more answers
Personnel tests are designed to test a job​ applicant's cognitive​ and/or physical abilities. A particular dexterity test is adm
Elza [17]

Answer:

26.11% of the test scores during the past year exceeded 83.

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by

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

After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

It is known that for all tests administered last​ year, the distribution of scores was approximately normal with mean 78 and standard deviation 7.8. This means that \mu = 78, \sigma = 7.8.

Approximately what percentatge of the test scores during the past year exceeded 83?

This is 1 subtracted by the pvalue of Z when X = 83. So:

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

Z = \frac{83 - 78}{7.8}

Z = 0.64

Z = 0.64 has a pvalue of 0.7389.

This means that 1-0.7389 = 0.2611 = 26.11% of the test scores during the past year exceeded 83.

3 0
1 year ago
The following data show the midterm and final exam scores in an English writing class. Student 1 2 3 4 5 6 7 8 9 10 11 12 Midter
tester [92]

Answer:

The co variance of the midterm and final exam scores is 58.76.

Step-by-step explanation:

The formula to compute the sample co variance is:

Cov(x,y)=\frac{\sum(X-Mean\ of\ X)(Y-Mean\ of\ Y)}{n-1}

The values are computed in the table below.

Compute the co variance as follows:

Cov(x,y)=\frac{\sum(X-Mean\ of\ X)(Y-Mean\ of\ Y)}{n-1}\\=\frac{646.33}{12-1}\\ =58.76

Thus, the co variance of the midterm and final exam scores is 58.76.

7 0
1 year ago
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