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73 |
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79 |
(a) Find the 76th percentile.
(b) Find the 42nd percentile.
(c) Find the 16th percentile.
(d) Find the 65th percentile.
In: Math
We performed a linear regression analysis between number of times on phone per drive and number of near accidents. The equation is Y= 0.320 + 0.943X, where Y is the number of times on phone per drive and X is the number of near accidents. calculate the p-value and give a conclusion.
| number of times on phone per dr | near accidents |
| 0 | 0 |
| 0 | 1 |
| 1 | 1 |
| 2 | 1 |
| 3 | 1 |
| 1 | 2 |
| 2 | 2 |
| 3 | 2 |
| 4 | 2 |
| 2 | 3 |
| 3 | 3 |
| 4 | 3 |
| 2 | 4 |
| 3 | 4 |
| 4 | 4 |
| 5 | 4 |
| 6 | 4 |
| 3 | 5 |
| 4 | 5 |
| 5 | 5 |
| 6 | 5 |
| 4 | 6 |
| 5 | 6 |
| 7 | 6 |
| 8 | 7 |
| 9 | 7 |
In: Math
E2-19 Calculating Missing Amounts and Cost of Goods Manufactured and Sold [LO 2-3, 2-4, 2-5, 2-6]
For each of the following independent cases (1–4), compute the missing values. (Enter all amounts as positive values.)
| Case1 | Case 2 | Case 3 | Case4 | |
| beginning raw materials | 6,400 | 26,000 | 90,000 | |
| raw material purchases | 49,000 | 11,850 | 45,640 | |
| Indirect materials issues | 800 | 1,500 | 800 | 2,300 |
| ending raw materials | 1,800 | 2,250 | 94,900 | |
| direct materials used | 15,000 | 32,520 | ||
| direct labor | 30,000 | 121,650 | ||
| manufacturing overhead | 55,000 | 39,950 | 30,480 | 540,430 |
| total current manufacturing costs | 78,600 | 94,100 | ||
| beginning work in progress | 47,000 | 34,600 | 102,120 | |
| ending work in process | 42,150 | 237,800 | ||
| cost of goods manufactured | 137,000 | 75,800 | 90,425 | 834,900 |
| beginning finished goods | 74,000 | 52,100 | ||
| ending finished goods | 77,000 | 31,700 | 399,100 | |
| cost of goods sold | 77,000 | 111,775 | 840,400 |
if i can see the work on how to do it thatd be cool too!
In: Accounting
Open travel data file <문제> 1. Set 3 hypotheses (2 main hypotheses and one interaction hypothesis) 2. Which variable(s) are significant? and Why? 3. Which pairs of group means of travel visit are different out of three pairs in tour frequency. Which statistic did you use? 4. Use graph in order to interpret how travel frequency affects travel attitude for different sex?
sex frequency attitude
1 1 2
1 1 3
1 1 4
1 1 4
1 1 2
1 2 4
1 2 5
1 2 5
1 2 3
1 2 3
1 3 8
1 3 9
1 3 8
1 3 7
1 3 7
2 1 6
2 1 7
2 1 6
2 1 5
2 1 7
2 2 3
2 2 4
2 2 5
2 2 4
2 2 5
2 3 6
2 3 6
2 3 6
2 3 7
2 3 8
In: Statistics and Probability
Health researchers believe that the neonatal mortality rate is higher at home (MRH) than that in the health centers (MRC). The neonatal mortality rates (both MRH and MRC) for 20 countries are recorded in SSPS file Ass_2Q2.sav. can you solve it using equations
|
Neonatal -mortality |
group |
|
9 3 4 7 6 6 3 7 10 6 7 8 9 6 9 3 9 4 7 6 2 0 8 5 4 3 0 2 1 4 4 6 3 1 2 2 3 3 1 4 |
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 |
In: Statistics and Probability
Using excel and the data in chapter 14 data set 2, complete the analysis and interpret the results. It is a 2 x 3 experiment: There are two levels of severity, where the Level 1 is severe and Level 2 is mild, and there are three levels of treatment, where Level 1 is Drug #1, Level 2 is Drug #2, and Level 3 is Placebo. This is an ANOVA with replication because each participant received all three levels of treatment, which are represented by the columns of data; severity is represented by the rows.
Severity 1
6 6 2
6 5 1
7 4 3
7 5 4
7 4 5
6 3 4
5 3 3
6 3 3
7 4 3
8 5 4
7 5 5
6 5 3
5 6 1
6 6 2
7 7 4
8 6 5
9 5 3
8 7 4
7 6 2
7 8 3
Severity 2
7 7 4
8 5 5
8 4 6
9 3 5
8 4 4
7 5 4
6 4 6
6 4 5
6 3 4
7 3 2
7 4 1
6 5 3
7 6 2
8 7 2
8 7 3
8 6 4
9 5 3
0 4 2
9 4 2
8 5 1
In: Statistics and Probability
| Reconstructed Operating Statement | Year 0 | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Year 6 | Year 7 | |||||||||
| Potential Gross Rent | $457,200.00 | $466,572.60 | $476,137.34 | $485,898.15 | $495,859.07 | $506,024.18 | $516,397.67 | $526,983.82 | |||||||||
| Allowance for Vacancies: Less | $27,432.00 | $27,432.00 | $27,432.00 | $27,432.00 | $27,432.00 | $27,432.00 | $27,432.00 | $27,432.00 | |||||||||
| Other Income | $34,000.00 | $34,697.00 | $35,408.29 | $36,134.16 | $36,874.91 | $37,630.84 | $38,402.28 | $39,189.52 | |||||||||
| Effective Gross Income | $463,768.00 | $473,837.60 | $484,113.63 | $494,600.31 | $505,301.97 | $516,223.02 | $527,367.95 | $538,741.35 | |||||||||
| Less: | Less: | Less: | Less: | Less: | Less: | Less: | Less: | ||||||||||
| Property Tax | $85,039.00 | $85,039.00 | $85,039.00 | $93,543.00 | $93,543.00 | $93,543.00 | $93,543.00 | $102,897.00 | |||||||||
| Other Income (Super expense plus free rent expense) | $49,240.00 | $50,249.42 | $51,279.53 | $52,330.76 | $53,403.54 | $54,498.32 | $55,615.53 | $56,755.65 | |||||||||
| Insurance | $13,300.00 | $13,572.65 | $13,850.89 | $14,134.83 | $14,424.60 | $14,720.30 | $15,022.07 | $15,330.02 | |||||||||
| Workers Compensation | $145.00 | $147.97 | $151.01 | $154.10 | $157.26 | $160.48 | $163.77 | $167.13 | |||||||||
| Utilities | $1,140.00 | $1,163.37 | $1,187.22 | $1,211.56 | $1,236.39 | $1,261.74 | $1,287.61 | $1,314.00 | |||||||||
| Supplies and Miscellaneous Expenses | $1,391.30 | $1,419.83 | $1,448.93 | $1,478.64 | $1,508.95 | $1,539.88 | $1,571.45 | $1,603.66 | |||||||||
| Professional Property Management Fees | $27,826.08 | $27,826.08 | $27,826.08 | $27,826.08 | $27,826.08 | $27,826.08 | $27,826.08 | $27,826.08 | |||||||||
| Landscaping and Snow Removal | $2,500.00 | $2,551.25 | $2,603.55 | $2,656.92 | $2,711.39 | $2,766.97 | $2,823.70 | $2,881.58 | |||||||||
| Maintenance Staff | $12,000.00 | $12,246.00 | $12,497.04 | $12,753.23 | $13,014.67 | $13,281.47 | $13,553.74 | $13,831.60 | |||||||||
| Total Operating Expenses | $192,581.38 | $194,215.57 | $195,883.25 | $206,089.13 | $207,825.89 | $209,598.25 | $211,406.95 | $222,606.73 | |||||||||
| Annual Net Operating Income | $271,186.62 | $279,622.03 | $288,230.37 | $288,511.19 | $297,476.09 | $306,624.77 | $315,961.00 | $316,134.62 | |||||||||
| Capitalization Rate | 8.34% | 8.60% | 8.87% | 8.88% | 9.15% | 9.43% | 9.72% | 9.73% | |||||||||
| Market Rate Value | $3,250,000.00 | ||||||||||||||||
Question 1
A) Suggest some reasons why the market capitalization rate might NOT remain constant.
B) Why might it become larger or smaller than the currently prevailing market rate?
In: Finance
|
Number of Girls x |
P(x) |
|
|---|---|---|
|
0 |
0.0040.004 |
|
|
1 |
0.0330.033 |
|
|
2 |
0.1180.118 |
|
|
3 |
0.2260.226 |
|
|
4 |
0.2540.254 |
|
|
5 |
0.2250.225 |
|
|
6 |
0.1070.107 |
|
|
7 |
0.0290.029 |
|
|
8 |
0.004 |
Refer to the accompanying table, which describes results from groups of 8 births from 8 different sets of parents. The random variable x represents the number of girls among 8 children. Find the mean and standard deviation for the number of girls in 8 births.
In: Statistics and Probability
1 Zero growth
2 Constant growth
3 Variable growth
4 Cash free valuation mode
l 5 Book value 6Liquidation value
7 Price/earning multiple approaches
Writing methods for valuing shares, with the exception of the methods mentioned above Writing two ways in general the negatives and positives / definition of the method / example / equation ... etc
In: Accounting
| Obs | Dividend | Price |
| 1 | 16.1 | 64.66 |
| 2 | 3.36 | 22.01 |
| 3 | 13.28 | 54.41 |
| 4 | 0.77 | 35.86 |
| 5 | 8.46 | 36.12 |
| 6 | 10.54 | 64.95 |
| 7 | 6.33 | 40.85 |
| 8 | 7.96 | 41.65 |
| 9 | 8.95 | 43.44 |
| 10 | 11.54 | 74.9 |
| 11 | 8.03 | 51.99 |
| 12 | 7.97 | 59.51 |
| 13 | 10.43 | 58.3 |
| 14 | 12.6 | 57.4 |
| 15 | 9.53 | 57.06 |
| 16 | 7.62 | 36.16 |
| 17 | 11.11 | 53.73 |
| 18 | 10.22 | 51.1 |
| 19 | 9.61 | 49.08 |
| 20 | 20.15 | 66.43 |
| 21 | 7.99 | 43.57 |
| 22 | 13.76 | 64.74 |
| 23 | 17.56 | 80 |
| 24 | 17.65 | 77.91 |
| 25 | 0.46 | 31.39 |
| 26 | 14.3 | 71.18 |
| 27 | 24.42 | 69.56 |
| 28 | 3.24 | 20.5 |
| 29 | 16.5 | 64.01 |
| 30 | 9.19 | 60.6 |
| 3. You are interested in analyzing the influence of annual dividends on stock prices. (Whenever unstated, assume 95% significance level) | ||||||||||||||||
| You think stock prices will rise or fall based on the annual dividend the company distributes. | ||||||||||||||||
| a. State the independent and dependent variables. | ||||||||||||||||
| IV: | ||||||||||||||||
| DV: | ||||||||||||||||
| b. Create a scatterplot of dividend and price per share for the 30 companies given with appropriate labels. (Highlight the columns Dividend and Price and pick Scatter under Insert/Charts) | ||||||||||||||||
In: Statistics and Probability