A preliminary study of a human T-cell clone indicates that it has been derived by cloning a regulatory ?? T cell. Therefore, the subsequent analyses are expected to detect the presence of [complete the sentence and assess the resulting statements (83-94) as either factually correct (= true) or incorrect (= false)]:

83. TCR ? chain mRNA.

84. CD8 mRNA.

85. CD4 mRNA.

86. AIRE mRNA.

87. IL-2R ? chain mRNA.

88. FoxP3 mRNA.

89. MHC class I ? chain mRNA.

90. MHC class II ? chain mRNA. 91. ?2-microglobulin mRNA.

92. IgG heavy chain DNA.

93. TCR ? chain DNA.

94. TCR ? chain DNA.

1. A scientist is studying human memory. Subjects are shown a five-digit number for different lengths of time and then must write the number down. The subject either correctly recalls the number or fails to recall it. (Answer using R CODING) The results are as follows:

times <- c(10.73, 9.9, 9.61, 8.7, 8.56, 8.31, 8.18, 7.86, 7.63, 6.99, 6.66, 6.1, 5.92, 5.84, 5.67, 5.64, 5.56, 5.29, 5.1, 5.09, 4.92, 4.81, 2.86, 2.13, 2.05, 1.95, 1.67, 1.67, 1.38, 1.02)

correct <- c(1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0)

Here, times shows the amount of time given to the student, and correct is a Bernoulli variable, with 1 meaning the number was correctly recalled 0 meaning it was not.

a) Report your p-value, state your null hypothesis, state whether your p-value is significant, and interpret.

b) give a rough estimate for the time required for the number to be correctly recalled with 90% probability

Lester Hollar is vice president for human resources for a large manufacturing company. In recent years, he has noticed an increase in absenteeism that he thinks is related to the general health of the employees. Four years ago, in an attempt to improve the situation, he began a fitness program in which employees exercise during their lunch hour. To evaluate the program, he selected a random sample of eight participants and found the number of days each was absent in the six months before the exercise program began and in the six months following the exercise program. Below are the results.

  Click here for the Excel Data File

At the 0.010 significance level, can he conclude that the number of absences has declined? Estimate the p-value.

1. State the decision rule for 0.010 significance level. (Round your answer to 3 decimal places.)

2. Compute the test statistic. (Round your answer to 3 decimal places.)

3. The p-value is

• Between 0.01 And 0.025

• Between 0.001 And 0.005

• Between 0.005 And 0.01

4. State your decision about the null hypothesis.

• Fail to reject H₀

• Reject H₀

If you were the Human Resources manager and wanted to convince the CEO/management team to implement a flextime policy (e.g., can work any 8 hours between 6 am and 6 pm) to assist employees with children (elderly parents, others) to care for, what would you say/do?

You should present your post from the viewpoint of your role as the HR manager, a senior and experienced leader, to the CEO and his/her management team. It should be a comprehensive discussion or presentation-like, using influence and persuasion techniques. Don't forget to introduce the topic as if you were in a leadership meeting with the CEO and his/her team and not all members know about your topic and request; don't forget to be clear on the request.

Lester Hollar is vice president for human resources for a large manufacturing company. In recent years, he has noticed an increase in absenteeism that he thinks is related to the general health of the employees. Four years ago, in an attempt to improve the situation, he began a fitness program in which employees exercise during their lunch hour. To evaluate the program, he selected a random sample of eight participants and found the number of days each was absent in the six months before the exercise program began and in the six months following the exercise program. Below are the results.

At the 0.05 significance level, can he conclude that the number of absences has declined? Estimate the p-value.

a. State the decision rule for 0.05 significance level.

b. Compute the test statistic

A manager in the human resources department randomly selected five employees files and recorded the following data on X = number of weeks of paid vacation (annually) and Y = number of sick days claimed by the employee in the previous year. An analysis of the linear relationship between X and Y is desired.

CALCULATE SST

CALCULATE SSR

CALCULATE SSE

1.Human body temperatures are normally distributed with a mean of 98.2oF and standard deviation of 0.62oF. a.What is the probability that a randomly selected person has a body temperature higher than 99.6*F?

b.Lower than 95*F?

c.Between 97*F and 100*F?

2.Adult males have an average overhead height of 215.5 cm with a standard deviation of 10.9 cm, and it is normally distributed.

a.If one male is randomly selected, what is the probability that they will have an overhead reach greater than 245 cm?

b.If 50 males are randomly selected, what is the probability that they will have an overhead reach less than 213 cm?

c.If you randomly select 10 males, what is the probability that exactly 7 of the 10 have an overhead reach greater than 245 cm?

1. Length (in days) of human pregnancies is a normal random variable (X) with mean 266, standard deviation 16.

a. The probability is 95% that a pregnancy will last between what 2 days? (Remember your empirical rule here)

b. What is the probability of a pregnancy lasting longer than 315 days?

2. What is the probability that a normal random variable will take a value that is less than 1.05 standard deviations above its mean? In other words, what is P(Z < 1.05)?

3. What is the probability that a normal random variable will take a value that is between 1.5 standard deviations below the mean and 2.5 standard deviations above the mean? In other words, what is P(−1.5 < Z < 2.5)?

4. What is the probability that a normal random variable will take a value that is more than 2.55 standard deviations above its mean? In other words, what is P(Z > 2.55)?

You have been hired as the Human Resources director by a tech company located in Jackson, MS. It currently has 200 employees located in Jackson as well as in California. It has been operating as a start-up with little to no organization as most of the original employees were friends from college. They have grown to a size, though, where they need organizational structure. They expect to double in employee size in three years. Their workforce includes tech-oriented employees as well as accounting and marketing/sales employees. What kind of organizational structure would you recommend? What are the pros and cons of your suggestions?

The Human Resource department of a multi-national bank is preparing a survey about workplace equality. The survey will target employees of three departments: retail banking, commercial banking, and global banking. There are 1800, 2300, and 900 employees in these departments respectively. A total of 200 employees will be selected randomly for the survey.

The following table shows the number of weekly working hours of 14 employees in a sample dataset: 38 41 41 43 46 48 49 51 54 54 57 64 64 64

(d) Find the 30th percentile and third quartile of the data.

(e) Write a simple report about the weekly working hours of the employees by referring to your findings in part (c) and part (d).

(f) The standard working hour per week is 40 hours. Every extra working hour would have an hourly allowance of $35. Use X to denote the weekly working hour of an employee and Y to denote the weekly allowance of that employee. Express Y in terms of X. Hence, find the sample mean and sample standard deviation of the weekly allowance of an employee.