A kinesiologist wanted to investigate the effect of temperature and humidity on human performance. He found 28 college students and randomly assigned them to four different conditions, during which they were to walk at their normal pace on a treadmill for 60 minutes. He measured how far, in miles, they walked. The conditions varied in temperature (normal temperature/high temperature) and humidity (normal humidity/high humidity). The data are presented below, and SSwithin = 1.58. Do all hypothesis testing steps and compute effect sizes. Note that T = Σx.  

Normal Temperature, Normal Humidity

n = 7

M = 3.00

T = 21

Normal Temperature, High Humidity

n = 7

M = 2.80

T = 19.60

High Temperature, Normal Humidity

n = 7

M = 2.80

T = 19.60

High Temperature, High Humidity

n = 7

M = 2.00

T = 14

1. The length of human pregnancies from conception to birth varies according to a distribution that is approximately Normal with mean 266 days and standard deviation 16 days. About 68% of all pregnancies last between

a. 250 and 282 days          b. 234 and 298 days           c. 218 and 314 days      d. 250 and 266 days

2. The distribution of actual weights of chocolate bars produced by a certain machine is approximately Normal with mean 8.2 ounces and standard deviation of 0.1 ounces. What proportion of chocolate bars weigh under 8 ounces?

a. 13.5%       b. 34%        c. 16%       d. 2.5%

3. Sixteen weighings of a small object on a sensitive scale result in 5.15 grams 4 times, 5.35 grams 4 times, 5.20 grams, 4 times and 5.30 grams 4 times, 16 total. If the standard deviation σ of weighings on this scale is .8 grams, what is an approximate 95% confidence interval for the true weight of the object?

1. 5.25 ±.4         b. 5.25 ±.2        c. 5.25 ±.8       d. 5.20 ±.2

4. A survey of 900 gun-owners who frequent a popular shooting range in Texas had a nearly 100% response rate. If only 18% of the respondents thought more laws on gun control should be enacted, the conclusion that less than 20% of people in the region support more gun laws would certainly be dubious due to which of the following?

a. large standard deviation of samples of size 900       b. nonresponse from the sample

c. sampling bias of respondents       d. small sample size

5. Scores on a test for 8^th graders range from 0 to 500. In a SRS of 400 students, the mean score is 335 and the standard deviation is 70. The standard deviation of the sampling distribution of x̅₄₀₀ is what?

1. 70/335        b. 400/70       c. 70/20         d. 335/20

6.The weights of a sample of 400 2-year-olds in Kentucky yields x̅₄₀₀ is 21.2 pounds with a standard deviation of σ = 3 pounds. What is a 95% confidence interval for the weight of all two-year-olds in Kentucky?
a. 18.2-21.5 pounds     b. 15.2-27.2 pounds        c. 21.185-22.015 pounds     d. 20.9-21.5 pounds

7.When finding confidence intervals, the interval is smaller if

    a.sample size and standard deviation are bigger    b.sample size and standard deviation are smaller   

c.sample size is bigger, but the standard deviation is smaller   d.sample size is smaller, but standard deviation is bigger.   

8. If the birth weights of the babies born annually in a hospital is Normal with a mean of 5 pounds 10 ounces and a standard deviation of 5 ounces, what percentage of babies are born weighing less than 5 pounds? (No table needed.)

a. 13.5%       b. 2.5%       c. 16%        d. .3%

9. What percent of the babies born weigh between 5 pounds and 5 pound 5 ounces? (Again no table.)

a. 13.5%       b. 47.5%       c. 16%        d. 34%

10. Of the 40 babies born during the first weeks of next month, how many are likely to be under five pounds?

a. 4      b. 2      c. 6     d. 1    

11.) A random sample of 1,600 adults in a certain country shows that 72% have smart phones. What is a 80% confidence interval for the percentage of adults having smart phones in this country?

1. 72%±1.85%     b. 72%±1.44%     c.72%±2.24%     d.72%±1.11%

12.If 48% of the 400 voters sampled voted for candidate A over candidate B, what is a 95% confidence for p hat, the estimate for the percentage candidate p that A would receive?

1. 48%±2.5%      b. 48%±5%     48%±10%     d. 48%±1%

13.Twenty-five randomly selected students are asked how many times a month they eat pizza. The average for this sample is x̅₂₅= 11.75 times,but the population mean of all college students is claimed to be μ = 10.60 times. If the null hypothesis is H₀ is μ = 10.60 times and the standard deviation σ = 5 times, should the null hypothesis be rejected at the 5% level of significance? (No table needed)

1. Yes       b.   No      c. Not enough information      

14. Is the distribution of incomes in the US described by a normal distribution with μ equal to the mean income?

1. Yes    b. No    c. Not enough information

15. The weights of baby orangutans has standard deviation 4 pounds. How large a sample of baby orangutans is necessary for the 95% margin of error to be .5 pounds?

a. 144      b. 324      c. 256   d. 900

16. A car manufacturer says their cars average 26 miles per gallon of gas at 65 miles per hour a standard deviation of σ = 2 miles per gallon.. A Consumer group tested 100 such cars and found the average x̅₁₀₀ to be 25.4 miles per gallon. Is this sufficiently small to reject the null hypothesis H₀: μ = 26 miles per gallon? (No table needed.)

a. Yes     b. No     c. Not enough information.

17. What is the probability that z, the standard normal distribution, is less than 1.75 standard deviations below the mean of zero?

a. 5%      b. 4%      c. 6%      d. 7.4%

18. If two random samples of the heights of adult males in New York are taken, one of 400, the other of 900 people, which one would likely have the larger range from shortest to tallest?

a. the 400 person sample      b. the 900 person sample    c. they’d be equal

19. The p-value of a test of the null hypothesis is 3.5%. This means

a. the hypothesis is true with probability 3.5% or possibly less than 3.5%     b. the alternative hypothesis is true with probability 3.5% or possibly less     c. 3.5% is the probability of finding the observed or more extreme results when the null hypothesis (H ₀) is true     d. None of the above

20. One of the main reasons to be interested in the regression line of y on x is that

a. one can use it to predict y-values from different x-values     b. one can determine the standard deviation of y    

c. one can determine from it the values of the quartiles of x and y.

Pesticides sprayed on crops can affect human beings. A symptom of the action of a pesticide is reduction

in brain acetylcholinesterase (AChE) activity, and a severe reduction can be dangerous in terms of body

functions. When cotton is sprayed, one criterion of the existence of such a reduction is whether quail in

field borders show reduced AChE activity. In one collection, the following six observations were made

for brain AChE activity in quail: 86.03, 83.67, 95.21, 92.94, 83.12 and 80.22. Suppose that the mean

brain AChE activity for quail who have not been exposed to the pesticide is 95. Do these data show a

reduction in AChE activity. Test at a 0.05 significance level

16. Assume that human body temperatures are normally distributed with a mean of 98.22°F and a standard deviation of 0.64°F. a. A hospital uses 100.6°F as the lowest temperature considered to be a fever. What percentage of normal and healthy persons would be considered to have a​ fever? Does this percentage suggest that a cutoff of 100.6°F is​ appropriate? b. Physicians want to select a minimum temperature for requiring further medical tests. What should that temperature​ be, if we want only​ 5.0% of healthy people to exceed​ it? (Such a result is a false​ positive, meaning that the test result is​ positive, but the subject is not really​ sick.)

A. The percentage of normal and healthy persons considered to have a fever is ____%.

​(Round to two decimal places as​ needed.)

Does this percentage suggest that a cutoff of 100.6 degrees Upper F is​ appropriate?

A. No, because there is a large probability that a normal and healthy person would be considered to have a fever.

B. No, because there is a small probability that a normal and healthy person would be considered to have a fever.

C. Yes, because there is a small probability that a normal and healthy person would be considered to have a fever.

D. ​Yes, because there is a large probability that a normal and healthy person would be considered to have a fever.

b. The minimum temperature for requiring further medical tests should be _____ F if we want only​ 5.0% of healthy people to exceed it.

​(Round to two decimal places as​ needed.)

31. Which of the following is not true about hCG (human chorionic gonadotropin)? a. secretion of hCG helps maintain the corpus luteum b. secretion of hCG inhibits secretion of GnRH and FSH c. secretion of hCH promotes mentruation d. secreted by the implanted embryo

32. If peak estrogen and progesterone levels were maintained past the normal luteal stage, this would not result in which of the following? a. more severe endometrial shedding (heavier periods) b. continued suppression of GnRH secretion c. continued suppression of FSH secretion d. suppression of new follicle development

33. Peak estrogen and progesterone levels maintained past normal luteal stage would be associated with a. embryo development b. menstruation c. ovulation d. menopause e. primary follicle development

34. Which of the following is part of the primary follicle? a. corpus luteum b. corpus albicans c. ovum d. primary oocyte e. secondary oocyte

In the world of Human Resources, the acronym "KSA" stands for Knowledge, Skills, and Abilities. Assessors apply it to evaluate candidates' qualifications in terms of the general requirements of a job, With this in mind, please identify the key advantage, in terms of knowledge, skills, or abilities, of each of the six candidates.

1. Atasi Das: Born in the United States, Das joined TCT nine years ago after earning her MBA from a university in New England. At 37, she has successfully moved between staff and line positions and assumed broader responsibilities in strategic planning. For two years, she was the assistant director of a midsized product group. Her performance regularly earns excellent ratings. Currently, she directs supply-chain logistics from TCT’s home office. Upon joining TCT, she stated her goal was to work internationally, pointing to her undergraduate major in international management. She has reiterated her interest in international responsibilities and her interest in continuing with TCT. She is open to looking for help opportunities elsewhere. She speaks Hindi and is unmarried. Her parents, who now live in the United States, are first-generation immigrants from India. She has relatives in India’s northern states, Kashmir and Punjab.

2. Brett Harrison: Harrison, 44, has spent 15 years with TCT, running both line activities and supervising staff centers. His superiors consider him a seasoned executive poised to move into upper-level management. For the past two years, he has worked in the Singapore-based Asian Regional Office, as director of strategic planning. He regularly tours TCT’s Asian operations. He and his wife, along with their two teenage children, have traveled to India a few times and are familiar with its geography, politics, customs, and outlooks. The Harrisons know other expats in Bengaluru. Mrs. Harrison works as the marketing director for the Singapore subsidiary of a Japanese pharmaceutical MNE. It presently has sales, but no operating unit in India.

3. Jalan Bukit Seng: Seng, 52, is the managing director of TCT’s laser printer manufacturing plant in Malaysia. A citizen of Singapore, he has worked in Singapore or Malaysia. He has regularly commuted to various TCT factories, helping to reset assembly systems and supervising equipment refits. He earned an undergraduate and MBA degrees from the National University of Singapore and speaks Singapore’s four official languages--Malay, English, Mandarin, and Tamil. His performance reviews are consistently positive, with a periodic ranking of excellent. Seng is unmarried but has family members in Singapore and Malaysia.

4. Ravi Desai: Currently an assistant managing director in TCT Japan, Desai oversees production units in Japan and South Korea. A citizen of India, he has spent his 15 years with TCT working in various operational slots throughout Asia. Now 37, he holds an MBA from the prestigious Indian Institute of Management. Some see him as a likely candidate to direct the Indian operation eventually. He is married, has two children (ages 2 and 7), and speaks English and Hindi well. His wife, also a native of India, neither works outside the home nor speaks English.

5. Saumitra Chakraborty: At 32, Chakraborty is the assistant to the departing managing director in India. He has held that position since joining TCT India upon graduating from a small private university in Switzerland eight years earlier. Unmarried, he consistently earns a job performance rating of excellent in customer relationship management. He has increased TCT India’s sales, largely owing to his social connections with prominent Indian families and government officials along with his skillfulness in the ways of the Indian business environment. Besides speaking India’s main languages of English and Hindi, Chakraborty is the only candidate who speaks Kannada (the local language of Bengaluru). Presently, he lacks line experience.

6. Tom Wallace: A 30-year veteran of TCT USA, Wallace has broad technical skills and sales experience. He worked with Gary Kent on supply-chain projects in the United States. Although he has never worked abroad, he has toured TCT’s foreign operations. He recently expressed interest in an expatriate slot. His superiors typically rate his performance as excellent. Wallace is set to retire in seven years. He and his wife speak only English. They have three adult children who live with their families in the United States. Presently, Wallace manages a U.S. unit that is a little larger than the present size of TCT India. The merger of his unit with another TCT division will eliminate his current position in nine months.

The existentialist is interested in addressing various areas of human existence. In this prompt please address in a page how one lives authentically and what living authentically looks like. Do you think you live authentically, why or why not?

In order to fully address this prompt, you should reference either Nietzsche or Sartre or both.

A little help: reference Nietzsche’s views on herd mentality. Or Sartre’s notion of “bad faith” or both and how they may, or may not, apply to your life.

#9.

Assume that human body temperatures are normally distributed with a mean of 98.23 °F and a standard deviation of 0.63 °F.

1. A hospital uses 100.6 °F as the lowest temperature considered to be a fever. What percentage of normal and healthy persons would be considered to have a​ fever? Does this percentage suggest that a cutoff of 100.6 °F is​ appropriate?

2. Physicians want to select a minimum temperature for requiring further medical tests. What should that temperature​ be, if we want only​ 5.0% of healthy people to exceed​ it? (Such a result is a false​ positive, meaning that the test result is​ positive, but the subject is not really​ sick.)

a. The percentage of normal and healthy persons considered to have a fever is __

a1. Does this percentage suggest that a cutoff of 100.6 °F is​ appropriate?

b. The minimum temperature for requiring further medical tests should be __ if we want only​ 5.0% of healthy people to exceed it.

#8

A survey found that​ women's heights are normally distributed with mean 63.4 in and standard deviation 2.4 in. A branch of the military requires​ women's heights to be between 58 in and 80 in.

a. Find the percentage of women meeting the height requirement. Are many women being denied the opportunity to join this branch of the military because they are too short or too​ tall?

b. If this branch of the military changes the height requirements so that all women are eligible except the shortest​ 1% and the tallest​ 2%, what are the new height​ requirements?

1)A new chemical has been found to be present in the human bloodstream, and a medical group would like to study the presence of this chemical in some samples of patients. The presence of the chemical in a patient is measured by a score representing the 'parts per billion' in which that chemical appears in the blood. It is known that, on this scale, men have an average score of 810.9 and a standard deviation of 58. It is also known that women have an average score of 835.48 and a standard deviation of 21.

An assistant in the medical team has been handed a sample of 100 scores. The assistant knows that all of the scores are from one of the two genders, but the sample was not documented very well and so they do not which gender this is. Within the sample, the mean score is 825.4.

a)Complete the following statements. Give your answers to 1 decimal place.

If the sample came from a group of 100 men, then the sample mean is ______ standard deviations above the mean of the sampling distribution. In contrast, if the sample came from a group of 100 women, then the sample mean is _______ standard deviations below the mean of the sampling distribution.

b)Based on this, the assistant is more confident that the sample came from a group of 100 _____men or women_____

2)The life span at the birth of humans has a mean of 87.74 years and a standard deviation of 17.76 years. Calculate the upper and lower bounds of an interval containing 95% of the sample mean life spans at birth based on samples of 105 people. Give your answers to 2 decimal places.

a)Upper bound = _________ years

b)Lower bound = ______ years

3)A drug made by a pharmaceutical company comes in tablet form. Each tablet is branded as containing 120 mg of the particular active chemical. However, variation in manufacturing results in the actual amount of the active chemical in each tablet following a normal distribution with mean 120 mg and standard deviation 1.665 mg.

a)Calculate the percentage of tablets that will contain less than 119 mg of the active chemical. Give your answer as a percentage to 2 decimal places.

Percentage = %

b)Suppose samples of 12 randomly selected tablets are taken and the amount of active chemical measured. Calculate the percentage of samples that will have a sample mean of less than 119 mg of the active chemical. Give your answer as a percentage to 2 decimal places.

Percentage = %

4)

During its manufacturing process, Fantra fills its 20 fl oz bottles using an automated filling machine. This machine is not perfect and will not always fill each bottle with exactly 20 fl oz of soft drink. The amount of soft drink poured into each bottle follows a normal distribution with mean 20 fl oz and a standard deviation of 0.17 fl oz.

The Fantra quality testing department has just carried out a routine check on the average amount of soft drink poured into each bottle. A sample of 25 bottles was randomly selected and the amount of soft drink in each bottle was measured. The mean amount of soft drink in each bottle was calculated to be 19.90 fl oz. The Fantra Chief Executive Officer believes that such a low mean is not possible and a mistake must have been made.

Calculate the probability of obtaining a sample mean below 19.90 fl oz. Give your answer as a decimal to 4 decimal places.

probability =

Question 3. You are working in the human resource department at a large organization and your department has been asking for help to build an information system to allow new job applicants to apply online. You also want to be able to keep a record of these job applicants specific skills to better help you match them to new job openings. Your department has several very skilled knowledge workers who have studied Busi 237 and you decide to build your own system. You need to convince your department that developing your own system is a good idea. What will you say to them? Once the development begins you ask your knowledge workers to get the other department staff involved in the system development and encourage their interest. How will the knowledge workers do this? Ultimately your knowledge workers have to abandon their development because of a failure to encourage department support. Why do you think they failed? How could they have done better? Be sure to use key terms and concepts from your textbook.