Answer:
The answers to the question above are given below:
Step-by-step explanation:
Question: What is a discrete probability distribution?
<u>Answer</u>
A discrete distribution is very important in data research as it shows in tabular form the probabilities that can be found in a list of distribution values and their individual probabilities in counted data. Usually, from the pool of distribution of numbers, the discrete distribution shows the probability of having countable numbers out of the pool.
<u>Question:</u> Choose the correct answer below. A. A discrete probability distribution exclusively lists probabilities. B. A discrete probability distribution lists each possible value a random variable can assume, together with its probability. C. A discrete probability distribution lists each possible value a random variable can assume. D. None of the above
The correct answer is: option B "discrete probability distribution lists each possible value a random variable can assume, together with its probability."
Question: What are the two conditions that determine a probability distribution?
<u>The correct answer is</u>:
1. Since each value may not be zero, each probability must include between 0 and 1.
2. When probabilities are totaled, it must give 1.
Answer:
Step-by-step explanation:
What is the probability that a customer ordered
a hot drink given that he or she ordered a large?
So we are looking for the percentage of a hot drink and a Large.
Our list:
Small
Medium Large
Hot
5
48
22
8
12
5
Cold
He can tell there is 10% atleast for hot and 0% for a large
Answer: 0
Step-by-step explanation: 8-8 equals... ZERO GOOD JOB GUYS!
Answer:

Step-by-step explanation:
If the angle θ is in radians, the formula for the area (A) of a sector of a circle is
A = ½r²θ
If θ is in degrees

Data:
θ = 49°
r = 11 cm
Calculation:

Answer:
1. 40%
2. The theoretical probability is 3% greater than the experimental probability.
Step-by-step explanation:
We are informed that a number cube is rolled 20 times and the number 4 is rolled 8 times. The experimental probability of rolling a 4 is;
(the number of times a 4 was rolled)/(total number of rolls)
8/20 = 0.4
0.4*100 = 40%
The experimental probability of obtaining at least one tails, one or more tails, is represented in mathematical notation as;
P(HT or TH or TT)
The above events are mutually exclusive, thus;
P(HT or TH or TT) = P(HT) + P(TH) + P( TT)
= (22+34+16)/(28+22+34+16)
= 0.72 = 72%
On the other hand, the theoretical probability of obtaining at least one tails,
P(HT or TH or TT) = 3/4
= 75%
This is because there is at least one tail in 3 out of 4 possible outcomes.
Therefore, it is true to say that the theoretical probability is 3% greater than the experimental probability.