Let's say you have a bag of 100 marbles. There are an equal number of five different colors. You are curious to know what the probability would be if you dipped your hand in and grabbed out 5 of the same color marble. In this scenario, the underlying success rate = _______.
**Please show work!
In: Statistics and Probability
Below, n is the sample size, p is the population proportion of successes, and X is the number of successes in the sample. Use the normal approximation and the TI-84 Plus calculator to find the probability. Round the answer to at least four decimal places.
n=76, p=0.41
P(28<X<38) = ____?
In: Math
Write F if it is false, V if it is true, depending on the case and explain why
1. Social costs is the benefit that society receives to maintain
the operation of companies ()
2. As expenses are incorporated into the production process, they
become costs. ()
3. The social costs are those that society must pay to maintain the
operation of the company ()
4. The marginal cost is equal to the total cost divided by the
number of units produced in the production process ()
5. At an equilibrium point of production, the entrepreneur relates
the prices, costs, and quantities that he must sell, to know that
he neither loses nor wins. ()
6 Advertising, participation in fairs and exhibitions are known as
financial expenses ()
7. When the consumer is indifferent to exchanging a certain
quantity of a good for another good, since he gets the same
satisfaction at any point on the curve, it is called the marginal
rate of substitution. ()
8. Standard costs is a predetermined cost that serves as a means of
controlling the production process and the costs incurred. ()
9. The total costs of production constitutes the sum of payments or
remunerations, both of the fixed and variable factors. ()
10. The indifference curves are represented as the optimal scale of
the plant that the entrepreneur has to look for ()
In: Economics
In a population of 10,000, there are 5000 nonsmokers, 2500 smokers of one pack or less per day, and 2500 smokers of more than one pack per day. During any month, there is a 7%probability that a nonsmoker will begin smoking a pack or less per day, and a 3% probability that a nonsmoker will begin smoking more than a pack per day. For smokers who smoke a pack or less per day, there is a 10% probability of quitting and a 10% probability of increasing to more than a pack per day. For smokers who smoke more than a pack per day, there is a 6% probability of quitting and a 10% probability of dropping to a pack or less per day. How many people will be in each group in 1 month, in 2 months, and in 1 year? (Round your answers to the nearest whole number.)
A) in 1 month
non-smokers --------------------------- people
1 pack/day or less---------------------people
more than 1 pack/day ----------------people
B) in 2 month
non-smokers --------------------------- people
1 pack/day or less---------------------people
more than 1 pack/day ----------------people
C) in 1 year
non-smokers --------------------------- people
1 pack/day or less---------------------people
more than 1 pack/day ----------------people
In: Math
| Hours | CuFt | #LargeFurniture | Elevator |
| 24.00 | 545 | 3 | Yes |
| 13.50 | 400 | 2 | Yes |
| 26.25 | 562 | 2 | No |
| 25.00 | 540 | 2 | No |
| 9.00 | 220 | 1 | Yes |
| 20.00 | 344 | 3 | Yes |
| 22.00 | 569 | 2 | Yes |
| 11.25 | 340 | 1 | Yes |
| 50.00 | 900 | 6 | Yes |
| 12.00 | 285 | 1 | Yes |
| 38.75 | 865 | 4 | Yes |
| 40.00 | 831 | 4 | Yes |
| 19.50 | 344 | 3 | Yes |
| 18.00 | 360 | 2 | Yes |
| 28.00 | 750 | 3 | Yes |
| 27.00 | 650 | 2 | Yes |
| 21.00 | 415 | 2 | No |
| 15.00 | 275 | 2 | Yes |
| 25.00 | 557 | 2 | Yes |
| 45.00 | 1028 | 5 | Yes |
| 29.00 | 793 | 4 | Yes |
| 21.00 | 523 | 3 | Yes |
| 22.00 | 564 | 3 | Yes |
| 16.50 | 312 | 2 | Yes |
| 37.00 | 757 | 3 | No |
| 32.00 | 600 | 3 | No |
| 34.00 | 796 | 3 | Yes |
| 25.00 | 577 | 3 | Yes |
| 31.00 | 500 | 4 | Yes |
| 24.00 | 695 | 3 | Yes |
| 40.00 | 1054 | 4 | Yes |
| 27.00 | 486 | 3 | Yes |
| 18.00 | 442 | 2 | Yes |
| 62.50 | 1249 | 5 | No |
| 53.75 | 995 | 6 | Yes |
| 79.50 | 1397 | 7 | No |
In: Math
The weight of a small Starbucks coffee is a normally distributed
random variable with a mean of 415 grams and a standard deviation
of 23 grams. Find the weight that corresponds to each event.
(Use Excel or Appendix C to calculate the z-value.
Round your final answers to 2 decimal places.)
| a. | Highest 20 percent | |||
| b. | Middle 60 percent | to | ||
| c. | Highest 80 percent | |||
| d. | Lowest 15 percent | |||
In: Math
10. Arrange the following compounds in a vertical list from highest boiling point (top) to lowest boiling point (bottom) and explain your answer on the basis of whether the substance is Polar, Nonpolar, Ionic, Metallic or Hydrogen bonding: O2, KF, NH3, Cu, HBr (Please note in this question you are not being asked to list BPs but the compounds in a list from highest to lowest BP on the basis of the type of compound.)
In: Chemistry
Which has the highest normal freezing point?
O2
N2
H2
NH3
Which has the lowest enthalpy of fusion?
H2O
Li2O
HCl
HF
Which has the least heat of vaporization?
H2Te
Xe
H2Se
H2O
Which has the highest normal boiling point?
C2H6
NH3
Li2O
CH4
Which has the smallest vapour pressure at 25°C?
O3
SiO2
CO2
H2O
In: Chemistry
The monthly returns for a financial advisory service can be
modeled by a Normal distribution with a mean of $119 and standard
deviation of $91, per $10,000 invested. Find the following
boundaries: (use 4 decimals for all answers)
(a) the highest 10% of monthly returns:_______
(b) the lowest 10% of monthly returns: _______
(c) the highest 20% of monthly returns: _________
(d) the middle 60% of monthly returns: _______ and________ (Enter
the lower value first.)
In: Statistics and Probability
The weight of a small Starbucks coffee is a normally distributed random variable with a mean of 385 grams and a standard deviation of 8 grams. Find the weight that corresponds to each event. (Use Excel or Appendix C to calculate the z-value. Round your final answers to 2 decimal places.) a. Highest 30 percent b. Middle 70 percent to c. Highest 90 percent d. Lowest 20 percent
In: Statistics and Probability