Question:

30. There are an aggregate of 27 individuals in an application pool, that are similarly equipped for a task. The pool comprises of;

))20((

19 females and 8 guys

There are 4 employment opportunities for 4 distinct individuals. Write your answers as a decimal to 4 decimal spots.

1. What is the likelihood that every one of the 4 individuals are male?

2. In the event that each of the 4 individuals that are employed are male, does your response to the past issue demonstrate that this was because of sex inclination in the recruiting interaction?

Note: If the likelihood of haphazardly recruiting just guys for the 4 vacant positions is under 5%, at that point we will say that this is probably not going to such an extent that there is sexual orientation predisposition in the employing interaction.

Indeed, this backings a charge of sexual orientation dicrimination. There is not exactly a 1% possibility that this could occur by some coincidence

Indeed, this backings a charge of sexual orientation segregation. There is not exactly a 5% possibility that this could occur by some coincidence

No, this doesn't uphold a charge of sexual orientation segregation.

It is difficult to tell.

3. What is the likelihood that the entirety of the 4 individuals are female?

In an investigation to examine the relationship of hypertension and smoking propensities, the accompanying information are gathered for 180 people:

Nonsmokers 21 H, 48 NH

Moderate Smokers 36 H, 26 NH

Substantial Smokers 30 h, 19 NH

Where H and NH represents Hypertension and NonHypertension, individually. On the off chance that one of these people is chosen indiscriminately discover the likelihood that the individual is

(a) encountering hypertension, giving that the individual is a substantial smoker

(b) a nonsmoker, giving that the individual is encountering no hypertension

Queation Completion Status Select the box-and-whisker plot that represents the following data. 0 20 20 22 23 24 26 27 30 30 31 31 33 50 Box-and-whisker plot A Box-and-whisker plot B Box-and-whisker plot C Box-and-whisker plot D BOX WHISKER C GOX WHISKER D BOX WHISKER EPLEASE SHOW HOW YOU CALC: correlation between funds and the covarience matrix for bonds and stocks A pension fund manager is considering three mutual funds. The rst is a stock fund: the second is a long- term government and corporate bond fund, and the third is a Tbill monev market fund that yields a sure rate of 5.5%. The probability.r distributions of the risky funds are: _ Expected Retum Standard Deviation Stock fund [5) 19% 48% The correlation between the fund returns is .OTr'EJ'. What is the expected retum and standard deviation for the minimumvariance portfolio ofthe two risky funds? [Do not round Intermediate calculations. Hound your answers to 2 decimal places] _ Expected return Standard deviation QUESTION 12 Select the comect statement concerning the Law of Total Probability and conditional probability. The Law of Total Probability defines unconditional probability of an event P(E) using known conditional probabilities P(BB) given that independent events Bk have occurred, each Bk with a unknown probability itself. Conditional probability P(E F) defines the probability of an event E given that an event F has occurred. Ob. The Law of Total Probability defines unconditional probability of an event P(E) using known conditional probabilities P(E B) given that mutually exclusive events B& have occurred, each BA with a known probability itself. Conditional probability P(E) ) defines the probability of an event F given that an event E has occurred. The Law of Total Probability defines unconditional probability of an event P(E) using known conditional probabilities P(E)By) given that independent events BA have occurred, each BK with a known probability itself. Conditional probability P(E F) defines the probability of an event F given that an event E has occurred. The Law of Total Probability defines unconditional probability of an event P(2) using known conditional probabilities P(FB) given that mutually exclusive events By have occurred, each By with a known probability itself. Conditional probability P(EA) defines the probability of an event E given that an event F has occurred.15. QUESTION: I have in my pocket ten coins. Nine of them are ordinary coins with equal chances of coming up head and tail when tossed and the tenth has two heads. (a) If I take one of the coins at random from my pocket, what is the probability that it is the coin with two heads ? (b) If I toss the coin and it comes up heads, what is the probability that it is the coin with two heads ? (e) If I toss the coin one further time and it comes up tails, what is the probability that it is one of the nine ordinary coins