Pleas answerall the questions:

[COMMENTS & HINTS:Enter answers exactly without unnecessary decimal points or insignificant digits.] SPECIAL

For Problems #1 through #6, consider the following context.

The Pinelands Perks Coffee Shop at Pinelands General Hospital recently monitored its late morning customer counts. A random sample of counts on randomly selected days yielded the following number of pre-lunch but definitely post breakfast customers:

25	26	27	28	32	33	34	35
45	46	47	48	52	53	54	55

Question 1)

Compute the midquartile

Question 2)

Compute the midrange.

Question 3)

Compute the Inter-Quartile Range (IQR).

Question 4) (Please answer where the # are)

After computing the most democratic measures of center and spread for this data collection, preferably using technology to minimize manual calculations, and rounding off to the nearest whole unit if necessary, complete the following statement: On average, the Pinelands Perks Coffee Shop serves exactly[#4] (respond this part)

Question 5)

customers daily just prior to lunch, give or take approximately[#5] (Respond this part) customers.

Report your responses precisely to Items #4 & #5, including only the numerical answers.

Question 6)

#6: Compute the coefficient of variation.

[COMMENTS & HINTS: You should use the approximate rounded measures of center and/or spread if not exact. Round if necessary to the nearest tenth of a percent: ##.#%. Include the percent symbol.]

For Problems #7 through #9, consider the following context:

Consider the following discrete probability distribution, P(x), where x is the number of cups of coffee purchased weekly by loyalty reward customers at the Pinelands Perks Coffee Shop:

X	0	1	2	3	4	5	6	7
P(x)	??	5%	10%	15%	20%	25%	15%	10%

Question 7)

#7: What percentage of loyalty reward customers buy no cups of coffee weekly?[COMMENTS & HINTS: Express with the percent symbol.]

Question 8)

#8: On average, how many cups of coffee do the loyalty rewards customers purchase weekly?[COMMENTS & HINTS: Round to the nearest whole number.]

Question 9)

#9: What shape best describes this discrete probability distribution?

Answer choice:

1. Binomial
2. J-Shaped
3. Rectangular or Uniform
4. Skewed Left or Negatively Skewed
5. Skewed Right or Positively Skewed

6. Symmetric or Triangular

For Problems #10 through #12, consider the following context.

According to ongoing clinical research into feline health, the weight of an obese adult male Domestic Short Hair (DSH) cats is normally distributed with a population mean of 20 pounds and a population standard deviation estimated at 2 pounds. The office manager at Violet Veterinarians pulls a randomly selected chart for an obese adult male feline DSH.

Question 10)

#10: What is the chance the randomly selected obese adult male DSH cat has a weight of more than 23 pounds? [COMMENTS & HINTS: Round to the nearest whole percentage and include the percent symbol.]

Question 11)

#11: What is the likelihood the randomly selected obese adult male DSH cat has a weight between 18 pounds and 24 pounds? [COMMENTS & HINTS: Round to the nearest whole percentage and include the percent symbol.]

Question 12)

#12: The randomly selected obese adult male DSH cat's weight fell in the top 8%. What is the approximate cutoff weight, to the nearest whole pound, that includes the top 8%?

For Problem #13 through #16, consider the following context.

The management at Revelation Rehabilitation, a nursing and physical therapy care facility, are exploring the relationship between the numbers of hours each clinical staff member undergoes professional development on safe patient care, represented by the independent variable x, and the number of patient-related injuries that staff member experiences annually, represented by the dependent variable y. The data is as follows:

x	y
20	16
30	20
20	15
30	21
20	15
30	21
20	16
30	20
20	15
30	20

Question 13)

#13: Predict the number of patient-related injuries if a staff member receives 28 hours of professional development. [COMMENTS & HINTS: You should round the answer to the nearest whole unit or patient.]

Question 14)

#14: Compute the coefficient of determination. [COMMENTS & HINTS: Round to the nearest whole percent. Include the percent symbol.]

Question 15)

#15: What percentage of the variability evidenced in the linear model is not a reflection of the interrelationship between the two variables? [COMMENTS & HINTS: You should round the answer to the nearest whole percent.]

Question 16)

#16: Describe the correlation or association between the number of hours of professional development and the number of patient-related injuries by selecting the best choice.

Answer choice)

1. There is a perfectly positive correlation or association.
2. There is a strong to very strong, high to very high positive correlation or association.
3. There is a weak to moderate, low or only somewhat strong positive correlation or association.
4. There is essentially no trend; any correlation or association seems random.
5. There is a weak to moderate, low or only somewhat strong negative correlation or association.
6. There is a strong to very strong, high to very high negative correlation or association.
7. There is a perfectly negative correlation or association.

Question 17)

#17: In a single population large sample two-tailed hypothesis test, where the population standard deviation is known, the test is performed at the 1% level of significance. If the test statistic generated is , what is the most appropriate technical conclusion to this analysis?

1. Marginally fail to reject the null hypothesis
2. Fail to reject the null hypothesis
3. Highly fail to reject the null hypothesis
4. Marginally reject the null hypothesis
5. Reject the null hypothesis
6. Highly reject the null hypothesis

Question 18)

#18: In a single population large sample two-tailed hypothesis test, where the population standard deviation is known, the test is performed so to result in 99% confidence. If the test statistic generated is , what is the most appropriate technical conclusion to this analysis?

1. Marginally fail to reject the null hypothesis
2. Fail to reject the null hypothesis
3. Highly fail to reject the null hypothesis
4. Marginally reject the null hypothesis
5. Reject the null hypothesis
6. Highly reject the null hypothesis

Question 19)

#19: If for a Two-Way ANOVA, the number of treatments is 12, what is the corresponding degrees of freedom?

Question 20)

#20: If for a Two-Way ANOVA, the degrees of freedom for blocks is 8, what is the corresponding number of blocks?