Assume that the CEO and CFO are very adamant that the bad debts percentage be reduced in 2017 to 2% of year-end receivables. The 5% difference is not material to the financial statements. You believe that you will be terminated if you don’t make this adjustment. What should you consider in making your decision?
In: Accounting
1. The percentage of Vital capacity that can be expired in one second is decreased in someone with which of the following?
A. Someone with an increased comliance
B. Someone with bronhoconstriction
C. Someone with an incease in VO2 max
2. Which of the following does NOT influence the loading reaction at the lungs?
A. Blood pH
B. The amount of hemoglobin in the blood
C. The p02 graident across the respiratory membrane
D. Pulmonary edema
3. Elevated body temperature, acidosis and/or anemia will?
A. Increase the unloading reaction
B. Cause a left shift in the oxygen-hemoglobin dissoaciation curve
C. Decrease Respiratory rate
In: Anatomy and Physiology
Welcome to the Bruins Goalie Saves Analysis This program will calculate the percentage of saves for a hockey goalie for 4 games after you have entered the games and saves for the goalie. Enter the number of goals for game #1: 3 Enter the number of saves for game #1: 22 The percent saves for game #1 is 88.0% Enter the number of goals for game #2: 4 Enter the number of saves for game #2: 33 The percent saves for game #2 is 89.2% Enter the number of goals for game #3: 1 Enter the number of saves for game #3: 16 The percent saves for game #3 is 94.1% Enter the number of goals for game #4: 0 Enter the number of saves for game #4: 22 The percent saves for game #4 is 100.0% The percent saves for 4 games for this goalie is 92.1% Thanks for using the Bruins Goalie Saves Analysis program.
In: Computer Science
In a tennis match, the first serve percentage is a key statistic. Having an accurate (and fast) first serve is seen as an important advantage to winning a match. Let theta be the probability of getting the first serve in on any point in a tennis game. For each of the four situations below, give a prior distribution for theta, explaining each in a sentence. You may assume the winner is determined from the best of three sets, (so the first player to win two sets will win).
(a) The point is the first point of the match.
(b) It is the beginning of the second set and the server has won the first set.
(c) It is the beginning of the second set and the server has lost the first set.
(d) If the server wins the next point, they will win the match.
In: Math
What is the percentage of shared variance between the midterm and final grades in the table below?
| Midterm | Final |
| 55 | 100 |
| 60 | 80 |
| 78 | 92 |
| 79 | 95 |
| 80 | 90 |
| 55 | 90 |
| 64 | 40 |
| 89 | 75 |
| 90 | 70 |
| 92 | 82 |
| 94 | 70 |
| 100 | 100 |
|
13% |
||
|
17% |
||
|
25% |
||
|
Less than 1% |
In: Math
| 3. Elfco is in the business of making toys. A high percentage of its products are sold during November and December. Therefore, retailers need to have the toys in stock prior to November. The corporation produces on a relatively stable basis during the year in order to retain its skilled employees and minimize its investment in plant and equipment. The seasonal nature of its business requires a substantial capacity to store inventory. | ||||
| The gross receivables balance at April 30, 2015, was $55,000, and the inventory balance was $250,000 on this date. Sales for the year ended April 30, 2016, totaled $5,000,000, and the cost of goods sold totaled $1,500,000. | ||||
| Elfco uses a natural business year that ends on April 30. Inventory and accounts receivable data are given in the following table for the year ended April 30, 2016 | ||||
| Month | Gross Receivables | Inventory | ||
| May-15 | $ 60,000 | Inventory | ||
| Jun-15 | $ 40,000 | Inventory | ||
| Jul-15 | $ 50,000 | Inventory | ||
| Aug-15 | $ 60,000 | Inventory | ||
| Sep-15 | $ 200,000 | Inventory | ||
| Oct-15 | $ 800,000 | Inventory | ||
| Nov-15 | $ 1,500,000 | Inventory | ||
| Dec-15 | $ 1,800,000 | Inventory | ||
| Jan-16 | $ 1,000,000 | Inventory | ||
| Feb-16 | $ 600,000 | Inventory | ||
| Mar-16 | $ 200,000 | Inventory | ||
| Apr-16 | $ 50,000 | Inventory | ||
| At April 30, 2015 | $ 55,000 | $ 250,000 | ||
| Sales, year end at April 30, 2016 | $ 5,000,000 | |||
| Cost of Goods Sold | $ 1,500,000 | |||
| C. Comment on the difference between the ratios computed in (a) and (b). | e. | |||
| D. Compute the days’ sales in receivables | ||||
| E. Compute the days’ sales in inventory | ||||
| F. How realistic are the days’ sales in receivables and the days’ sales in inventory that were com- puted in (d) and (e)? | ||||
In: Accounting
|
Percentage |
Cooking |
Time 3.0 hrs. |
Cooking |
Time 4.0 hrs |
|||
|
of Hardwood |
Pressure |
Pressure |
|||||
|
Concentration |
400 |
500 |
650 |
400 |
500 |
650 |
|
|
2 |
196.6 |
197.7 |
199.8 |
198.4 |
199.6 |
200.6 |
|
|
196.0 |
196.0 |
199.4 |
198.6 |
200.4 |
200.9 |
||
|
4 |
198.5 |
196.0 |
198.4 |
197.5 |
198.7 |
199.6 |
|
|
197.2 |
196.9 |
197.6 |
198.1 |
198.0 |
199.0 |
||
|
8 |
197.5 |
195.6 |
197.4 |
197.6 |
197.0 |
198.5 |
|
|
196.6 |
196.2 |
198.1 |
198.4 |
197.8 |
199.8 |
In: Math
The World Bank collected data on the percentage of GDP that a country spends on health expenditures ("Health expenditure," 2013) and also the percentage of women receiving prenatal care ("Pregnant woman receiving," 2013). The data for the countries where this information is available for the year 2011 are in following table:
Data of Health Expenditure versus Prenatal Care
|
Health Expenditure (% of GDP) |
Prenatal Care (%) |
|
3.7 |
54.6 |
|
5.2 |
93.7 |
|
5.2 |
84.7 |
|
10.0 |
100.0 |
|
4.7 |
42.5 |
|
4.8 |
96.4 |
|
6.0 |
77.1 |
|
5.4 |
58.3 |
|
4.8 |
95.4 |
|
4.1 |
78.0 |
|
6.0 |
93.3 |
|
9.5 |
93.3 |
|
6.8 |
93.7 |
|
6.1 |
89.8 |
Test at the 5% level for a correlation between percentage spent on health expenditure and the percentage of women receiving prenatal care. Then compute a 95% prediction interval for the percentage of woman receiving prenatal care for a country that spends 5.0 % of GDP on health expenditure.
(i) Which of the following statements correctly define both the null hypothesis HOand the alternate hypothesis HA ?
A. HO : ρ = 0 HA : ρ < 0
B. HO : ρ > 0 HA : ρ = 0
C. HO : ρ = 0 HA : ρ > 0
D. none of these answers are correct
(ii) Enter the level of significance α used for this test, and the degrees of freedomdf:
Enter level of significance in decimal form to nearest hundredth, followed by comma, followed by degrees of freedom value to nearest integer. Do not enter spaces.
Examples of correctly entered answers: 0.01,4 0.02,11 0.05,13 0.10,46
(iii) Use technology to determine correlation coefficient r between independent variable (percent GDP spent on healthcare) and dependent variable (percent women receiving prenatal care)
Enter in decimal form to nearest ten-thousandth with sign. Examples of correctly entered answers:
-0.0001 +0.0020 -0.0500 +0.3000 +0.7115
(iv) Calculate and enter test statistic
Enter value in decimal form rounded to nearest hundredth, with appropriate sign (no spaces). Examples of correctly entered answers:
–2.10 –0.07 +0.60 +1.09
(v) Using tables, calculator, or spreadsheet: Determine and enter p-value corresponding to test statistic.
Enter value in decimal form rounded to nearest thousandth. Examples of correctly entered answers:
0.000 0.001 0.030 0.600 0.814 1.000
(vi) Comparing p-value and α value, which is the correct decision to make for this hypothesis test?
A. Reject Ho
B. Fail to reject Ho
C. Accept Ho
D. Accept HA
Enter letter corresponding to correct answer.
(vii) Select the statement that most correctly interprets the result of this test:
A. The result is statistically significant at .05 level of significance. Evidence supports the claim that there is a correlation between percent GDP spent on healthcare and percentage of women receiving prenatal care.
B. The result is statistically significant at .05 level of significance. There is not enough evidence to show that there is a correlation between percent GDP spent on healthcare and percentage of women receiving prenatal care.
C. The result is not statistically significant at .05 level of significance. Evidence supports the claim that there is a correlation between percent GDP spent on healthcare and percentage of women receiving prenatal care.
D. The result is not statistically significant at .05 level of significance. There is not enough evidence to show that there is a correlation between percent GDP spent on healthcare and percentage of women receiving prenatal care.
Enter letter corresponding to most correct answer
(viii) Determine standard error of the estimate se:
Enter answer to nearest hundredth
(ix) Compute a 95% prediction interval for the percentage of woman receiving prenatal care for a country that spends 5.0 % of GDP on health expenditure. Do this by:
E=(tc) (se) (1+1n+( xo−x )2(sx2)(n−1)‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾√ )E=tc se 1+1n+ xo-x 2sx2n-1
Determine which of the following 95% prediction intervals is most correct:
A. 39.42% < y < 116.41%
B. 23.29% < y < 132.55%
C. 47.65% < y < 108.19%
D. 40.89% < y < 114.94%
Enter letter corresponding to most correct answer
(x) Which of the following statements correctly interprets the significance of the prediction interval?
A. We estimate with 95% confidence that the interval 39.42% < y < 116.41% contains the true percentage of women receiving prenatal care for a 5.0% of GDP expenditure on healthcare.
B. We estimate with 95% confidence that the interval 47.65% < y < 108.19% contains the true percentage of women receiving prenatal care for a 5.0% of GDP expenditure on healthcare.
C. We estimate with 95% confidence that the interval 40.89% < y < 114.94% contains the true percentage of women receiving prenatal care for a 5.0% of GDP expenditure on healthcare.
D. We estimate with 95% confidence that the interval 23.29% < y < 132.55% contains the true percentage of women receiving prenatal care for a 5.0% of GDP expenditure on healthcare.
In: Math
| 3. Elfco is in the business of making toys. A high percentage of its products are sold during November and December. Therefore, retailers need to have the toys in stock prior to November. The corporation produces on a relatively stable basis during the year in order to retain its skilled employees and minimize its investment in plant and equipment. The seasonal nature of its business requires a substantial capacity to store inventory. | ||||||
| The gross receivables balance at April 30, 2015, was $55,000, and the inventory balance was $250,000 on this date. Sales for the year ended April 30, 2016, totaled $5,000,000, and the cost of goods sold totaled $1,500,000. | ||||||
| Elfco uses a natural business year that ends on April 30. Inventory and accounts receivable data are given in the following table for the year ended April 30, 2016 | ||||||
| Month | Gross Receivables | Inventory | ||||
| May-15 | $ 60,000 | $ 525,000 | ||||
| Jun-15 | $ 40,000 | $ 650,000 | ||||
| Jul-15 | $ 50,000 | $ 775,000 | ||||
| Aug-15 | $ 60,000 | $ 900,000 | ||||
| Sep-15 | $ 200,000 | $ 975,000 | ||||
| Oct-15 | $ 800,000 | $ 700,000 | ||||
| Nov-15 | $ 1,500,000 | $ 400,000 | ||||
| Dec-15 | $ 1,800,000 | $ 25,000 | ||||
| Jan-16 | $ 1,000,000 | $ 100,000 | ||||
| Feb-16 | $ 600,000 | $ 150,000 | ||||
| Mar-16 | $ 200,000 | $ 275,000 | ||||
| Apr-16 | $ 50,000 | $ 400,000 | ||||
| At April 30, 2015 | $ 55,000 | $ 250,000 | ||||
| Sales, year end at April 30, 2016 | $ 5,000,000 | |||||
| Cost of Goods Sold | $ 1,500,000 | |||||
| A. Using averages based on the year-end figures, compute the following: | ||||||
| 1. Accounts receivable turnover in days | ||||||
| 2. Accounts receivable turnover per year | ||||||
| 3. Inventory turnover in days | ||||||
| 4. Inventory turnover per year | ||||||
| B. Using averages based on monthly figures, compute the following: | ||||||
| 1. Accounts receivable turnover in days | ||||||
| 2. Accounts receivable turnover per year | ||||||
| 3. Inventory turnover in days | ||||||
| 4. Inventory turnover per year | ||||||
| C. Comment on the difference between the ratios computed in (a) and (b). | e. | |||||
| D. Compute the days’ sales in receivables | ||||||
| E. Compute the days’ sales in inventory | ||||||
| F. How realistic are the days’ sales in receivables and the days’ sales in inventory that were com- puted in (d) and (e)? | ||||||
In: Accounting
Hello! I was asked to use spss to find the percentage of people that are over 51 years old in a variable of people of different ages. Can someone tell me how to do this in spss? thanks!
In: Math