(a)
Sample space={HHH,HHT,HTH,HTT,THH,THT,TTH,TTT} where H stands for head and T stands for tail.
Odds in against of event A =Probability of Ac/Probability of A= P(Ac)/P(A)
where A=event of exactly two heads={HHT,HTH,THH}
then P(A)=3/8
P(Ac)=1-P(A)=1-3/8=5/8
Odds in against of event A=5/8/3/8=5/3
(b)
The probability of an event is defined as the ratio between total no. of favourable cases of the event and total no. of possible cases . Probabilities always range between 0 and 1. The odds are defined as the probability that the event will occur divided by the probability that the event will not occur.
Example:
1. If a race horse runs 100 races and wins 25 times and loses the other 75 times, the probability of winning is 25/100 = 0.25 or 25%, but the odds of the horse winning are 25/75 = 0.333 or 1 win to 3 loses.
2. If coin is tossed three times, the probability of getting exactly two heads=3/8, but the odds of getting exactly two heads=3/8/5/8=3/5 i.e. 3 exactly 2 heads to 5 no head, one head or three heads.
5. (A: 6 marks and C: 4 marks) (a) Determine the odds against flipping exactly two...
5. (A: 6 marks and C: 4 marks) (a) Determine the odds of flipping exactly two heads if a coin is tossed four times. (b) Use two examples to explain how odds are different from probability.
Suppose a fair coin is tossed 4 times. What is the probability of flipping exactly 3 heads?
A coin is tossed 10 times. a) How many different outcomes have exactly 6 heads? b) What is the probablility that we toss 6 heads? c) What is the probability that we toss at most 6 heads?
A fair coin is tossed 10 times. Part A. What is the probability of obtaining exactly 5 heads and 5 tails? Part B. What is the probability of obtaining between 4 and 6 heads, inclusive?
If a fair coin is tossed 5 times, what is the probability that we see exactly 3 heads? a. 0.5000 b. 0.3125 c. 0.8125 d. 0.1875
In the student dataset, there are two variables of coin flipping data – CoinFlip1 and CoinFlip2 – which represent how many times a student got heads when flipping a coin 10 times. Combine all the values from those two variables into one, long, single variable. Create a relative frequency distribution for that new variable. Use decimal probabilities as opposed to percents to represent your relative frequencies. Hint: Let each # of heads (e.g 0, 1, 2, etc.) be its own...
In the student dataset, there are two variables of coin flipping data – CoinFlip1 and CoinFlip2 – which represent how many times a student got heads when flipping a coin 10 times. Combine all the values from those two variables into one, long, single variable. Create a relative frequency distribution for that new variable. Use decimal probabilities as opposed to percents to represent your relative frequencies. Hint: Let each # of heads (e.g 0, 1, 2, etc.) be its own...
13. A fair coin is tossed eight times. Calculate (a) (b) (c) the probability of obtaining exactly 4 heads; the probability of obtaining exactly 3 heads; the probability of obtaining 3, 4 or 5 heads.
a fair coin is tossed three times. A. give the sample space B. find the probability exactly two heads are tossed C. Find the probability all three tosses are heads given that the last toss is heads
casino Carl loves flipping coins. In fact, he is preparing to
flip a coin 50 times and track how many heads he gets (from zero to
50)
Casino Carl loves flipping coins. In fact,he is preparing to flip a coin 50 times and track how many heads he gets (from zero to 50). Use the normal approximation to find the probability Carl gets 20 heads or less from his 50 flips? Select one: a. 0.1563 b. 0.1014 C.0.0986 d. 0.0793