Questions
A large data set on Toledo workers was collected and the first three workers are characterized...

A large data set on Toledo workers was collected and the first three workers are characterized by:

Worker

Age

Hourly Wage

Female

Union

High School

1

33

$20

1

0

0

2

30

$24

0

1

1

3

36

$16

0

0

0

For the entire data set the average age is 31, the standard deviation of the age is 5, the average hourly wage is $15, and the standard deviation of the hourly wage is $4.

  1. What is the standardized Euclidean distance for Workers 1 and 3 based on Age and Hourly Wage?
    1. 0.371
    2. 1.166
    3. 1.923
    4. 0.942
    5. 1.543

  1. What is the matching coefficient for Workers 1 and 3 based on Female, Union, and High School?
    1. 0
    2. 1
    3. 2/3
    4. 1/2
    5. 1/3
  1. Refer to Exhibit 4-1. What is Jaccard’s coefficient for Workers 1 and 3 based on Female, Union, and High School?
  1. 1/3
  2. 1/2
  3. 2/3
  4. 1
  5. 0     

In: Statistics and Probability

Set the random number Pythonlist to variable x and write the code according to the items...

Set the random number Pythonlist to variable x and write the code according to the items below.

(1)Write a code to find the second largest element among List x Element.

(ex.x=[4,4,2,1]->2,x=[5,4,3,1]-4)4)

(2)Write a code to find elements that appear only once in a while.

(ex.x=[4,4,2,1]->[2,1],x=[5,4,3,1]=>[5,4,3,1])

(3)Write a code that generates a list of the frequency of elements for each element of Listx.

(ex.x=[4,4,2,1]->y=[2,2,2,1,1],x=[5,4,3,1]->y=[1,1,1,1])

(4)Write a code to find the value that comes to the center of the list in descending order among the listx members. (*If the number of lists is even, suggest the average value of the two values that come to the center.)

(ex.x=[4,4,2,1]->3=(4+2)/2,x=[5,4,2,1,0]->2)

I am currently using Python and I am a beginner of Python. Tell me the detailed code for the questions (1), (2), (3) and (4).

In: Computer Science

Referring to the table, suppose the researcher wants to obtain a 95% confidence interval estimate for...

Referring to the table, suppose the researcher wants to obtain a 95% confidence interval estimate for the mean number of physical therapy programs received by patients who had exactly two muscle injuries. The confidence interval estimate is:

A researcher would like to analyze the effect of muscle injury on the number of physical therapy intervention programs received. She takes a random sample of 4 patients. For these 4 patients, she finds out how many times each had a muscle injury and how many physical therapy intervention programs they received. These data are presented in the table below:

Patient Number of Muscle Injuries Number of Physical Therapy Programs Received
1 1 4
2 2 6
3 1 3
4 0 1

The results of the simple linear regression are provided below.

Y= 1+2.5X;  = 0.5,  = 0.35355; 2-tailed p value = 0.0192 (testing B1)

(4.7356, 7.2644)

(7.2356, 9.7644)

(4.1369, 7.8631)

(6.6369, 10.3631)

In: Statistics and Probability

Urgent!! What is the waiting time and Turnaround time of each process for each of the...

Urgent!!

What is the waiting time and Turnaround time of each process for each of the scheduling algorithms? [12 Marks] Job Arrival Time Burst(msec) Priority A 0 6 3 (Silver) B 1 2 1 (Diamond) C 3 5 3 (Silver) D 5 3 4 (Bronze) E 7 2 2 (Gold) (a) First-Come-First-Served (FCFS) scheduling [2 Marks] (b) Preemptive PRIORITY scheduling [2 Marks] (c) Highest Response Ratio Next (HRRN) scheduling [2 Marks] (d) Round Robin (RR) (quantum = 4) scheduling [2 Marks] (e) Which of the foregoing scheduling policies provides the lowest waiting time for this set of jobs? What is the waiting time with this policy? (Show your work) [4 Marks]

In: Computer Science

What is the waiting time and Turnaround time of each process for each of the scheduling...

What is the waiting time and Turnaround time of each process for each of the scheduling algorithms? [12 Marks]

Job

Arrival Time

Burst(msec)

Priority

A

0

6

3 (Silver)

B

1

2

1 (Diamond)

C

3

5

3 (Silver)

D

5

3

4 (Bronze)

E

7

2

2 (Gold)

(a) First-Come-First-Served (FCFS) scheduling [2 Marks]

(b) Preemptive PRIORITY scheduling [2 Marks]

(c) Highest Response Ratio Next (HRRN) scheduling [2 Marks]

(d) Round Robin (RR) (quantum = 4) scheduling [2 Marks]

(e) Which of the foregoing scheduling policies provides the lowest waiting time for this set of jobs? What is the waiting time with this policy? (Show your work) [4 Marks]

In: Computer Science

What is the waiting time and Turnaround time of each process for each of the scheduling...

What is the waiting time and Turnaround time of each process for each of the scheduling algorithms? [12 Marks]

Job

Arrival Time

Burst(msec)

Priority

A

0

6

3 (Silver)

B

1

2

1 (Diamond)

C

3

5

3 (Silver)

D

5

3

4 (Bronze)

E

7

2

2 (Gold)

(a) First-Come-First-Served (FCFS) scheduling [2 Marks]

(b) Preemptive PRIORITY scheduling [2 Marks]

(c) Highest Response Ratio Next (HRRN) scheduling [2 Marks]

(d) Round Robin (RR) (quantum = 4) scheduling [2 Marks]

(e) Which of the foregoing scheduling policies provides the lowest waiting time for this set of jobs? What is the waiting time with this policy? (Show your work) [4 Marks]

In: Computer Science

What is the waiting time and Turnaround time of each process for each of the scheduling...

What is the waiting time and Turnaround time of each process for each of the scheduling algorithms? [12 Marks]
Job
Arrival Time
Burst(msec)
Priority
A
0
6
3 (Silver)
B
1
2
1 (Diamond)
C
3
5
3 (Silver)
D
5
3
4 (Bronze)
E
7
2
2 (Gold)
(a) First-Come-First-Served (FCFS) scheduling [2 Marks]
(b) Preemptive PRIORITY scheduling [2 Marks]
(c) Highest Response Ratio Next (HRRN) scheduling [2 Marks]
(d) Round Robin (RR) (quantum = 4) scheduling [2 Marks]
(e) Which of the foregoing scheduling policies provides the lowest waiting time for this set of jobs? What is the waiting time with this policy? (Show your work) [4 Marks]

In: Computer Science

1. Use Hess’s Law to determine the ΔH for the vaporization of methanol, CH3OH, given: 2...

1. Use Hess’s Law to determine the ΔH for the vaporization of methanol, CH3OH, given:
2 C (s) + 4 H2 (g) + O2 (g) → 2 CH3OH (g) −402.4 kJ/mol
2 C (s) + 4 H2 (g) + O2 (g) → 2 CH3OH (l) −477.2 kJ/mol

In: Chemistry

1. which of the following is a possessory interest in land? a. fee simple absolute b....

1. which of the following is a possessory interest in land?

a. fee simple absolute

b. easement

c. profit

d. license

2. On July 1, 2010, Able, Baker and Charlie were deeded a piece of property as tenants in common. The deed provided that Able owned half the property and Baker and Charlie owned 25% each, if charlie dies, the property will be owned as follows:

a. able 1/2, baker 1/2

b. able 5/8, baker 3/8

c. able 1/3, baker 1/3, and charlie's heirs 1/3

d. able 1/2, baker 1/4 and charlie's heirs 1/4

3. what is a holographic will?

a. A will that is entirely handwritten and signed by the testator

b. a will that requires the beneficiary to be the witness of the will

c. a will that is revoked on behalf of a testator by a legal attorney

d.  a will that is orally declared at a testator's deathbed

4. Laura Dern received a check from UMB. She indorsed the check as follows: "for deposit only, /s/ Laura Dern". Laura's indorsement is:

a.

a blank indorsement

b.

a special indorsement

c.

a restrictive indorsement

d. none of the above

5

In: Finance

An aircraft firm is considering three different alloys for use in the wing construction of a...

An aircraft firm is considering three different alloys for use in the wing construction of a new airplane. Each alloy can be produced in four different thicknesses (1 = thinnest, 4 = thickest). Two test samples are constructed for each combination of alloy type and thickness, then each of the 24 test samples is subjected to a laboratory device the severely flexes it until failure occurs. For each test sample the number of flexes before failure is recorded, with the results shown in the Aircraft worksheet in the ANOVA HW data workbook on Moodle.

a) Use JMP to fit a two-way ANOVA to the data. Using alpha = 0.05 draw conclusions for the ANOVA. Make sure you state your conclusion in the context of the problem.

b) Does there appear to be a need to include the alloy type / thickness interaction term?

c) Use JMP to fit a two-way ANOVA with interaction to the data. Using alpha= 0.05 draw conclusions for the ANOVA. Make sure you state your conclusion in the context of the problem.

Alloy    Thickness    Flexes

Alloy A Thickness 1    804

Alloy A Thickness 1    816

Alloy A    Thickness 2 819

Alloy A    Thickness 2 813

Alloy A    Thickness 3    820

Alloy A    Thickness 3    821

Alloy A Thickness 4 806

Alloy A Thickness 4    805

Alloy B    Thickness 1 836

Alloy B Thickness 1 828

Alloy B    Thickness 2    844

Alloy B    Thickness 2    836

Alloy B Thickness 3    814

Alloy B Thickness 3    811

Alloy B Thickness 4 811

Alloy B    Thickness 4 806

Alloy C    Thickness 1    804

Alloy C    Thickness 1 808

Alloy C Thickness 2 807

Alloy C Thickness 2    819

Alloy C    Thickness 3 819

Alloy C    Thickness 3    829

Alloy C Thickness 4    827

Alloy C    Thickness 4 835

In: Statistics and Probability