Question

In: Statistics and Probability

Let’s assume these are the 25 coins that were collected: 1966 penny, 1967 nickel, 1966 quarter,...

Let’s assume these are the 25 coins that were collected:

1966 penny, 1967 nickel, 1966 quarter, 1967 penny, 1965 penny, 1966 half dollar, 1967 quarter, 1965 dime, 1967 dime, 1968 quarter, 1964 dime, 1966 nickel, 1965 nickel, 1967 half dollar, 1966 dime, 1964 nickel, 1969 quarter, 1969 half dollar, 1965 half dollar, 1968 penny, 1968 dime, 1964 quarter, 1965 quarter, 1969 dime, 1968 nickel

To simplify writing each coin out, let’s abbreviate 1966 penny by 6P, and 1967 nickel by 7N, etc. So in our collection, we have the following:

6P, 7N, 6Q, 7P, 5P, 6H, 7Q, 5D, 7D, 8Q, 4D, 6N, 5N, 7H, 6D, 4N, 9Q, 9H, 5H, 8P, 8D, 4Q, 5Q, 9D and 8N

A physical model for these coins is found on Material Card 1. If you haven't already done so, cut out a set of coins from this Material Card and use them to do several of the following exercises.

Let S be the subset of coins from 1964, V from 1965, W from 1966, X from 1967, Y from 1968, Z from 1969 and T from 1970.

Compute the following.

n(P) =   n(N) =    n(Q) =    n(D) =

n(Z) =    n(H) =    n(Y) =    n(T) =

n(S) =    n(W) =    n(X) =    n(V) =

n(C) =    n(A) = (A represents the one dollar coins in our set C)      

Solutions

Expert Solution

Given data:

6P, 7N, 6Q, 7P, 5P, 6H, 7Q, 5D, 7D, 8Q, 4D, 6N, 5N, 7H, 6D, 4N, 9Q, 9H, 5H, 8P, 8D, 4Q, 5Q, 9D and 8N

Let's understand what is n(A).

n(A) = number of elements in set A. Suppose, A={1,7,9} then n(A) = 3.

Let's compute the given:

n(P) => P = set containing pennies => P = {5P,6P,7P,8P} => n(P) = 4

n(N) => N = set containing nickels => N = {4N,5N,7N,6N,8N} => n(N) = 5

n(Q) => Q = set containing quaters => Q = {4Q,5Q,6Q,7Q,8Q,9Q} => n(Q) = 6

n(D) => D = set containing dollars => D = {{4D,5D,6D,7D,8D,9D} => n(D) = 6

n(Z) => coins from 1969 => Z = {9Q,9H,9D} => n(Z) = 3

n(H) => set containing half dollars => H = {5D,6D,7D,9D} => n(D) = 4

n(Y) => coins from 1968 => Z = {8Q,8P,8D,8N} => n(Y) = 4

n(T) => coins from 1970 => T = { } => n(T) = 0

n(S) => coins from 1964 => S = {4Q,4N,4D} => n(S) = 3

n(W) => coins from 1966 => W = {6P,6Q,6H,6N,6D} => n(Z) = 5

n(X) => coins from 1967 => X = {7P,7Q,7H,7N,7D} => n(X) = 5

n(V) => coins from 1965 => V = {5P,5Q,5H,5N,5D} => n(V) = 5

n(C) Here set C is not given, so we cannot anwer this. or we can say it is undefined.

n(A) => one dollar coins in our set C => Since we don't know C, we cannot answer this too.


Related Solutions

Consider an experiment in which three different coins (say a penny, a nickel, and a dime...
Consider an experiment in which three different coins (say a penny, a nickel, and a dime in that order) are tossed and the sequence of heads and tails observed. For each of the following pairs of events, A and B, give the subset of outcomes that defines the events and state whether the pair of events are mutually exclusive, collectively exhaustive, neither or both. (a) A: The penny comes up heads. (b) A: The penny comes up heads. B: The...
Random sample of coin weights Quarter Nickel Penny 7.9 9.5 6.7 7.2 7.0 7.1 7.8 8.7...
Random sample of coin weights Quarter Nickel Penny 7.9 9.5 6.7 7.2 7.0 7.1 7.8 8.7 6.5 8.1 7.6 7.1 7.9 N/A 5.5 Test at a 1% level of significance whether the population mean weights of any two watchband types are different? State the required assumptions for the test. Hint: Use sum of x^2=794.02
Let’s assume there is 1 fake coin out of 1000 coins. ( P[Coin=fake] = 0.001 )...
Let’s assume there is 1 fake coin out of 1000 coins. ( P[Coin=fake] = 0.001 ) The probability of showing head for fake coin is 0.9 (P[Head | Coin=fake] = 0.9). For normal coin, the probability of showing head is 0.5 (P[Head | Coin=normal] = 0.5). i.  Bayes theorem, If you have a coin, and toss it one time. You got a head. What is the probability that this coin is fake? ii. If you toss a coin 10 times, you...
Four unbiased coins, a quarter (25 cent coin), a dime (10 cents coin) and two different...
Four unbiased coins, a quarter (25 cent coin), a dime (10 cents coin) and two different nickles (5 cent coins, one minted before year 2000 and other after Year 2000) are tossed simultaneously. If a head shows up on any coin, you are paid the amount on the coin but for tail, you are paid no money for that coin. Find the probability that upon a single simultaneous toss of all four coins, you are paid a total of 35...
Assume that in the first quarter of 2020, real GDP and potential GDP were both $20...
Assume that in the first quarter of 2020, real GDP and potential GDP were both $20 trillion and the unemployment rate was 3.5%. Assume that potential GDP is still $20 trillion in the second of 2020 but that actual real GDP is $19 trillion. a. What is the annualized growth rate of real GDP between the first and second quarters? b. What is the output gap in the second quarter of 2020? c.   According to Okun’s law, what will be...
Assume that in the first quarter of 2020, real GDP and potential GDP were both $20...
Assume that in the first quarter of 2020, real GDP and potential GDP were both $20 trillion and the unemployment rate was 3.5%. Assume that potential GDP is still $20 trillion in the second of 2020 but that actual real GDP is $19 trillion. a. What is the annualized growth rate of real GDP between the first and second quarters? b. What is the output gap in the second quarter of 2020? c. According to Okun’s law, what will be...
The following data collected from a steam turbine of 25 MW capacity thermal power plant: Assume...
The following data collected from a steam turbine of 25 MW capacity thermal power plant: Assume R for air as 287 kJ/kg C Steam condensed = 40000 kh/hr Temperaure of steam in condenser =40 degree Dryness of steam enetring condenser = 0.85 Air leakage in the condenser = 140 kg/hr Temperature of codenser =35 degree Temperature at the suction of air pump = 32 degree Borometer reading = 76 cm of Hg Maximum rise in cooling water temperature =12 degree...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT