7) Select all of the following that are functions of the accessory glands of the male reproductive system. (2 points)
A) Spermatocyte creation
-B) Supplying nutrients for gamete motility
-C) Moving fluids along the reproductive tract
D) Buffer production
E) Hormone secretion for fertility regulation
5) Where would the most mature sperm cells be found? (1 point)
A) In the seminiferous tubules
B) In the testes
C) In the ejaculatory duct—
D) In the seminal vesicles
E) In the bulbourethral gland
11) Which of the following statements concerning oogenesis is true? (1 point)
A) Oogenesis begins after birth
B) Ova develop from stem cells called oogenesis
C) An ovum completes its last mitosis after it is fertilized
D) About half the oogonia complete mitosis between birth and puberty
E) By the time of their birth, girls have already lost about 80 percent of their oocytes
12) Select all of the following that are true of the vagina. (1 point)
A) Loses its inner lining during menses
B) Has a cervix for connection to the uterus
C) Holds sperm before their movement to the uterus
D) Is the lower region of the birth canal
E) Assists in urine movement via the urethra
In: Anatomy and Physiology
You’re working for the DOJ as an economist in the Economic Analysis Group (EAG) group. You’ve been asked by Nancy Rose, the chief economist at the DOJ and airline-industry expert, to review the American Airlines – US Airways merger. Given the recent consolidation in the airline industry prior to this proposed merger, she along with other regulators are very concerned about the approval of further mergers.
Given your modeling efforts, what would you recommend regarding the unconditional approval of the merger? Are there conditions under which you would let the firms merge? Think big in terms of requests to both airlines and airports that would make you comfortable with the merger being ap
In: Economics
3) Ego Manufacturing produces a pesticide chemical and uses process costing. There are three processing departments—Mixing, Refining, and Packaging. On January 1, the Refining Department had 2,000 gallons of partially processed product in production. During January, 33,000 gallons were transferred in from the Mixing Department, and 29,000 gallons were completed and transferred out. At the end of the month, there were 6,000 gallons of partially processed product remaining in the Refining Department. See additional details below.
Refining Department, beginning balance at January 1
Quantity: 2,000 units (partially processed)
Cost: $15,600 of costs transferred in
$4,500 of materials cost
$1,000 of conversion cost
21,100 total account balance
Costs added during January
Cost of units transferred in $222,400
Direct materials cost $93,750
Conversion cost $48,000
Refining Department, ending balance at January 31
Quantity: 6,000 units (partially processed)
Percent complete for materials cost: 90%
Percent complete for conversion cost: 75%
What was the cost per equivalent unit with respect to transferred-in costs, direct materials cost, and conversion costs for the Refining Department in the month of January? (Use the weighted-average method, and round your calculations to the nearest cent.)
INFO: How is a production cost report prepared using the FIFO method?
1. Prior period costs are not merged with current period costs.
2. Equivalent units of production must be calculated for units in beginning inventory completed in the current period, units started and completed in the current period, and units started and still in process at the end of the current period.
In: Accounting
Ann works full-time as a crossing guard at an elementary school.
She is a married 34 year-old G1P0, 32 weeks pregnant woman and
reported to her OB this morning that she has been experiencing some
“spotting”. She has just been told by her OB that she as PLACENTA
PREVIA and has been sent home on bedrest.
• What is Placenta Previa?
• How may this diagnosis affect the rest of her pregnancy? Her home life/ emotional/ financial/ sexual needs?
• Ann should notify her doctor if she experiences what symptom/sign?
• How will this affect the delivery of her baby?
• What concerns might you have about her delivery?
• What will her postpartum recovery be like afterwards?
• As her postpartum nurse, describe your plan of care for her including any medications/ labs/ nursing diagnoses that you feel may be relevant.
In: Nursing
Ed and Edna are both medical doctors and have just finished paying off their medical school loans. Ready to get serious about saving for retirement, they want to set aside funds from their practices at the end of each year so that their retirement fund will be $10 million in 30 years. They assume an average portfolio return of 6.5% before they retire, a 4.5% average return after they retire, and a 2.5% average inflation rate. They want to plan for a retirement lasting 35 years. How much will they need to save each year?
A. $80,620. B. $108,710. C. $115,775. D. $88,560. E. $86,400.
In: Finance
Jackie notices everyone wearing Converse sneakers on the first day of school. Ever the fashionista, this will likely affect:
Multiple Choice
Jackie's income, as she now needs to buy Converse and will have less to spend on other goods.
Jackie's preferences for shoes, since she feels as though she needs them now.
Jackie's expectations of future prices, since the price of Converse will likely go up because they're getting so popular.
the prices of related goods, since other shoes will be less popular and cost less now.
In: Economics
| a. |
$54,585 |
|
| b. |
$105,250 |
|
| c. |
$109,160 |
|
| d. |
$104,520 |
|
| e. |
$54,735 |
|
| f. |
none of the above |
In: Finance
Researchers at the University of Pennsylvania School of Medicine have determined that children under 2 years old who sleep with the lights on have a 33% chance of becoming myopic before they are 16. Children who sleep in darkness have a 22% probability of becoming myopic. A survey indicates that 26% of children under 2 sleep with some light on. Find the probability that a random child under 2 will become myopic before reaching 16 years old.
In: Statistics and Probability
Imagine that you are considering going to graduate school for economics. The program under consideration lasts for one year. The program is costly, and the value to you of its credentials is greater if you are not all that skilled and would have struggled to get a good job without the extra degree. On the other hand, if you do turn out to be very skilled in economics, you would get a good job without the degree in addition to saving on the cost of tuition. Unfortunately, you don’t know for sure yet whether or not you’re especially skilled in economics. More concretely, if you enter the program and you aren’t all that skilled, you get a total payoff of $40,000. If you enter the program and you are quite skilled, you get a total payoff of $80,000. If you don’t enter the program and you aren’t all that skilled, you get a total payoff of $5,000. If you don’t enter the program and you are quite skilled, you get a total payoff of $150,000. “Total payoff” means returns in the labor market and, when applicable, this is net of tuition costs.
(a) Give two additional pieces of information someone who had taken ECON400 would likely need in order to advise you on your course of action. Now suppose that you know, from your strong undergraduate performance, that the true probability you are skilled is 0.7. You can take an assessment before the graduate program that will determine, with complete certainty, whether or not you are skilled.
(b) What is the most that you would pay to take the assessment described above? Why?
In: Economics
A recent 10-year study conducted by a research team at the Great Falls Medical School was conducted to assess how age, systolic blood pressure, and smoking relate to the risk of strokes. Assume that the following data are from a portion of this study. Risk is interpreted as the probability (times 100) that the patient will have a stroke over the next 10-year period. For the smoking variable, define a dummy variable with 1 indicating a smoker and 0 indicating a nonsmoker.
Risk |
Age |
Systolic Blood Pressure |
Smoker |
| 10 | 56 | 145 | No |
| 25 | 55 | 160 | No |
| 10 | 60 | 156 | No |
| 58 | 88 | 175 | Yes |
| 27 | 60 | 195 | Yes |
| 49 | 75 | 185 | Yes |
| 15 | 55 | 156 | Yes |
| 32 | 77 | 120 | No |
| 35 | 80 | 135 | No |
| 15 | 78 | 98 | No |
| 22 | 71 | 152 | No |
| 36 | 70 | 173 | Yes |
| 15 | 67 | 135 | No |
| 48 | 77 | 209 | No |
| 14 | 60 | 199 | No |
| 36 | 82 | 119 | Yes |
| 8 | 65 | 166 | No |
| 34 | 82 | 125 | No |
| 3 | 61 | 117 | No |
| 39 | 60 | 208 | Yes |
| (a) | Develop an estimated multiple regression equation that relates risk of a stroke to the person's age, systolic blood pressure, and whether the person is a smoker. |
| Let x1 represent the person's age. | |
| Let x2 represent the person's systolic blood pressure. | |
| Let x3 represent whether the person is a smoker. | |
| If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) |
| (c) | What is the probability of a stroke over the next 10 years for Art Speen, a 69-year-old smoker who has a systolic blood pressure of 171? |
| If required, round your answer to two decimal places. Do not round intermediate calculations. |
In: Statistics and Probability