Questions
Post Position 1 2 3 4 5 6 7 8 9 10 Wins 19 14 11...

Post Position 1 2 3 4 5 6 7 8 9 10
Wins 19 14 11 15 15 7 8 12 5 11

The table below lists the frequency of wins for different post positions in the Kentucky Derby horse race.

Use a 0.05 significance level to test the claim that the likelihood of winning is the same for the different post positions.

What is the critical value (the X2 value)? [Round to the nearest thousandths place]

In: Statistics and Probability

Months Revenue (thousands) 1 102.87 2 107.78 3 100.78 4 96.50 5 97.51 6 98.26 7...

Months Revenue (thousands)

1

102.87
2 107.78
3 100.78
4 96.50
5 97.51
6 98.26
7 104.88
8 103.95
9 107.00
10 106.98
11 106.01
12 101.70
13 98.78
14 98.92
15 99.08
16 102.45
17 95.93
18 101.46
19 105.57
20 103.24
21 100.59
22 104.20
23 99.83
24 105.93
25 102.85
26 102.55
27 104.91
28 106.13
29 95.92
30 97.51
31 107.28
32 95.69
33 99.50
34 95.75
35 96.62
36 101.17

A manager at another store wants to know if an add campaign increased her average monthly revenue above $100 (thousand). She has provided you 36 months of data. She wants to know at the 95% condence level and at the 99% confidence level. She will be even more impressed if you can give the exact p-value and accurately describe what it means. Show how you solved this problem then explain what you did in words in the text box below. For example, is this a two-sided or one sided test? How did you proceed from there? You should label some of the cells with words then put the value next to those words. Heres the data: Month Revenue (thousands) 1 102.87 2 107.28 3 100.78 4 96.50 5 97.51 6 98.26 7 104.88 8 103.95 9 107.00 10 106.98 11 106.01 12 101.70 13 98.78 14 98.92 15 99.08 16 102.45 17 95.93 18 101.46 19 105.57 20 103.24 21 100.59 22 104.20 23 99.83 24 105.93 25 102.85 26 102.55 27 104.91 28 106.13 29 95.92 30 97.51 31 107.28 32 95.69 33 99.50 34 95.76 35 95.62 36 101.17

In: Statistics and Probability

3 6 4 8 1 10 2 9 11 12 15 22 3 6 7 5...

3 6 4 8 1
10 2 9 11 12
15 22 3 6 7
5 8 1 12 14

Each column represents a different treatment given to sick rats. Each cell is a different rat. Use statistical analysis and use post hoc testing using contrasts to find the best treatment.

Treatment 1: vitamins

Treatment 2: prescription pills

Treatment 3: brain surgery

Treatment 4: shock therapy

Treatment 5: dietary changes

In: Statistics and Probability

The Foundational 15 [LO2-1, LO2-2, LO2-3, LO2-4] [The following information applies to the questions displayed below.]...

The Foundational 15 [LO2-1, LO2-2, LO2-3, LO2-4]

[The following information applies to the questions displayed below.]

Sweeten Company had no jobs in progress at the beginning of March and no beginning inventories. The company has two manufacturing departments--Molding and Fabrication. It started, completed, and sold only two jobs during March—Job P and Job Q. The following additional information is available for the company as a whole and for Jobs P and Q (all data and questions relate to the month of March):

Molding Fabrication Total
Estimated total machine-hours used 2,500 1,500 4,000
Estimated total fixed manufacturing overhead $ 15,000 $ 18,000 $ 33,000
Estimated variable manufacturing overhead per machine-hour $ 3.40 $ 4.20
Job P Job Q
Direct materials $ 33,000 $ 18,000
Direct labor cost $ 37,000 $ 15,500
Actual machine-hours used:
Molding 3,700 2,800
Fabrication 2,600 2,900
Total 6,300 5,700

Sweeten Company had no underapplied or overapplied manufacturing overhead costs during the month.

Required:

For questions 1-8, assume that Sweeten Company uses a plantwide predetermined overhead rate with machine-hours as the allocation base. For questions 9-15, assume that the company uses departmental predetermined overhead rates with machine-hours as the allocation base in both departments.

Foundational 2-15

15. What was Sweeten Company’s cost of goods sold for March? (Do not round intermediate calculations.)

This is the full question^

In: Accounting

Period   0 1 2 3 4 5 6 7 8 9 10 11 PBP NPV IRR...

Period   0 1 2 3 4 5 6 7 8 9 10 11 PBP NPV IRR
Project A $                       (1,000,000) $ 200,000 $ 200,000 $ 200,000 $ 200,000 $ 200,000 $ 200,000 $ 200,000 $ 200,000 $ 200,000 $ 200,000 $ 400,000
Project B $                       (1,000,000) $ 500,000 $ 500,000 $ 500,000
Project C $                             (80,000) $      1,040 $      9,456 $    11,405 $    18,567 $    47,453 $      6,394 $    45,727 $    51,933 $    85,625
Project D $                           (400,000) $      4,161 $    37,824 $    45,618 $    74,269 $ 189,812 $    25,577 $ 182,907 $ 207,733 $ 342,499
Project E $                             (17,000) $    16,000 $    16,000 $ (16,000) $    16,000 $ (52,000)
Project F $                               (5,000) $      2,000 $      2,000 $      2,000 $      2,000 $      2,000
Project G $                               (5,000) $             -   $             -   $             -   $             -   $    15,000
Project H $                             (20,000) $      7,000 $      7,000 $      7,000 $      7,000 $      7,000

Answer the question below, i post this question for fourth time please answer it
contains a list of available investment projects and their respective cash flows. Using a cost of capital of 10%,

  1. Find the payback period, net present value and internal rate of return for each project.
  2. Based on the results, identify conflicts in ranking the above projects based on the IRR and NPV approaches, i.e. a project that has a higher rank using IRR but a lower rank using NPV and vice versa. You should also provide a discussion of what caused the conflict
  3. Provide a discussion of the advantages and disadvantages of all the capital budgeting techniques covered in this course, and identify methods to overcome the disadvantages (if available)
  4. Provide a brief discussion (a small paragraph) of the practicality (uses in real life) of the different capital budgeting methods.

yes

yes you can use excel

In: Finance

Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6...

Problem 15-01 (Algorithmic)

Consider the following time series data.

Week 1 2 3 4 5 6
Value 19 13 15 10 18 14

Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy.

  1. Mean absolute error. Round your answer to one decimal place.


  2. Mean squared error. Round your answer to one decimal place.


  3. Mean absolute percentage error. Round your answer to two decimal places.


  4. What is the forecast for week 7? Round your answer to the nearest whole number.

In: Statistics and Probability

Month 1 2 3 4 5 6 7 Value 23 13 20 12 18 21 16...

Month 1 2 3 4 5 6 7
Value 23 13 20 12 18 21 16
(b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not round intermediate calculation.
MSE:  
The forecast for month 8:  
(c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not round intermediate calculation.
MSE:  
The forecast for month 8:  
(d) Compare the three-month moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE?
- Select your answer -3-month moving averageexponential smoothingItem 7
(e) Use trial and error to find a value of the exponential smoothing coefficient α that results in the smallest MSE.
If required, round your answer to two decimal places.
α =  

In: Statistics and Probability

Month 1 2 3 4 5 6 7 Value 23 13 20 12 18 21 16...

Month 1 2 3 4 5 6 7
Value 23 13 20 12 18 21 16
(b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not round intermediate calculation.
MSE:  
The forecast for month 8:  
(c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not round intermediate calculation.
MSE:  
The forecast for month 8:  
(d) Compare the three-month moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE?
- Select your answer -3-month moving averageexponential smoothingItem 7
(e) Use trial and error to find a value of the exponential smoothing coefficient α that results in the smallest MSE.
If required, round your answer to two decimal places.

α =  

(I'M LOOKING FOR E)

In: Statistics and Probability

Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8...

Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8 Person 9

Height

(inches)

60 inches 67 inches 70 inches 65 inches 72 inches 64 inches 70 inches 71 inches 59 inches

Weight (Ibs)

120 lbs 150 lbs 180 lbs 125 lbs 200 lbs 130 lbs 170 lbs 180 lbs 100 lbs

1. Construct a confidence interval to estimate the mean height and the mean weight.

a. find the sample mean and the sample standard deviation of the height

b. find the sample mean and the sample deviation of the weight

c. construct a confidence interval to estimate the mean height.

d. construct a confidence interval to estimate the mean weight.

2. Test a claim that the mean height of people you know is not equal to 64 inches using the p-value method or the traditional method.

a. state the Ho and the h1.

b. Find the p value or critical value(s)

c. Draw a conclusion

3. Find the correlation coefficient between and the height and the weight. Construct the equation of the regression line and use it to predict the weight of a person who is 68 inches tall.

(All work must explained as it is being written, [ be clear on formulas if you are typing them ])

In: Statistics and Probability

Day 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15...

Day

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

Number of Aides Absent

5

8

11

15

4

2

7

1

4

6

14

19

3

5

8

  1. In which of the following ranges you can find the Upper Control Limit of the control chart?
    1. 0.1427
    2. 0.1536
    3. 0.1677
    4. Not computable with information available
  2. In which of the following ranges you can find the Lower Control Limit of the control chart?
    1. Does not exit (or 0) to under 0.0030
    2. 0.0030 to under 0.0040
    3. 0.0040 to under 0.05
    4. Above 0.05
  3. Investigation of the above data shows that:
    1. Absenteeism is not a problem, it is in state of statistical control  
    2. Absenteeism is out of statistical control because you found one day out of the control limits
    3. Absenteeism is out of statistical control because you found two days out of the control limits
    4. Absenteeism is out of statistical control because you found three days out of the control limits

In: Statistics and Probability