Answer:
Option (D)
Step-by-step explanation:
Formula for the area of a triangle is,
Area of a triangle =
For the given triangle ABC,
Area of ΔABC =
Length of AB =
Length of CD =
Now area of the triangle ABC =
Therefore, Option (D) will be the answer.
Answer:
Step-by-step explanation:
Positive integers relative primes to 9 which are less or equal than 9
{1,2,4,5,7}
so
Positive integers relative primes to 15 which are less or equal than 15
{1,2,4,7,8,11,13,14}
and
Positive integers relative primes to 75 which are less or equal than 75
{1,2,4,7,8,11,13,14,16,17,19,22,23,26,28,29,31,32,34,37,38,41,43,44,46,47,49,52,53,56,58,59,61,62,64,67,68,71,73,74}
and
situation. If a random sample of 25 people are selected from such a population, what is the
probability that at least two will be displeased?
A) 0.045
B) 0.311
C) 0.373
D) 0.627
E) 0.689
The probability that at least two people will be displeased in a random sample of 25 people is approximately 0.202.
It is the chance of an event to occur from a total number of outcomes.
The formula for probability is given as:
Probability = Number of required events / Total number of outcomes.
Example:
The probability of getting a head in tossing a coin.
P(H) = 1/2
We have,
This problem can be solved using the binomialdistribution since we have a fixed number of trials (selecting 25 people) and each trial has two possible outcomes (displeased or not displeased).
Let p be the probability of an individual being displeased, which is given as 0.045 (or 4.5% as a decimal).
Then, the probability of an individual not being displeased is:
1 - p = 0.955.
Let X be the number of displeasedpeople in a random sample of 25.
We want to find the probability that at least two people are displeased, which can be expressed as:
P(X ≥ 2) = 1 - P(X < 2)
To calculate P(X < 2), we can use the binomial distribution formula:
where n is the samplesize (25), k is the number of displeasedpeople, and (n choose k) is the binomial coefficient which represents the number of ways to choose k items from a set of n items.
For k = 0, we have:
≈ 0.378
For k = 1, we have:
≈ 0.42
Therefore,
P(X < 2) = P(X = 0) + P(X = 1) ≈ 0.798.
Finally, we can calculate,
P(X ≥ 2) = 1 - P(X < 2)
= 1 - 0.798
= 0.202.
Thus,
The probability that at least two people will be displeased in a random sample of 25 people is approximately 0.202.
Learn more about probability here:
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Answer:
Step-by-step explanation:
The correct answer is (B).
Let X = the number of people that are displeased in a random sample of 25 people selected from a population of which 4.5% will be displeased regardless of the situation. Then X is a binomial random variable with n = 25 and p = 0.045.
P(X ≥ 2) = 1 – P(X ≤ 1) = 1 – binomcdf(n: 25, p: 0.045, x-value: 1) = 0.311.
P(X ≥ 2) = 1 – [P(X = 0) + P(X = 1)] = 1 – 0C25(0.045)0(1 – 0.045)25 – 25C1(0.045)1(1 – 0.045)24 = 0.311.
Answer:
3003
Step-by-step explanation:
We want to find out how many ways we can choose 10 players among 15 players (since the goalie is not interchangeable)
The number of different lineups you can have can be found by using combination:
There are 3003 different lineups that can be chosen.
To determine the number of starting lineups, we use combinations in probability. We first choose a goalie from 16 players, then 10 regular players from the remaining 15, giving us 48048 unique lineups.
This problem can be solved by using the concept of combinations in probability and statistics. The formula for combinations is C(n, k) = n! / [k!(n-k)!], where n is the total number of items, k is the number of items to choose, and ! denotes factorial, which is the product of all positive integers up to that number.
Firstly, we need to choose a goalie. There are 16 players, so the number of ways to choose a goalie is C(16, 1) = 16.
After choosing the goalie, we are left with 15 players. Then we need to choose 10 players to fill in the rest of the team. Thus, the number of ways to choose the 10 regular players is C(15, 10).
The total number of unique starting lineups is then the product of these two results. Hence, the solution would be C(16, 1) * C(15, 10) = 16 * 3003 = 48048 different starting lineups.
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Answer:
The probability that the the total length after insertion is between 34.5 and 35 inches is 0.1589.
Step-by-step explanation:
Let the random variable X represent the length of the first piece, Y represent the length of the second piece and Z represents the overlap.
It is provided that:
It is provided that the lengths and amount of overlap are independent of each other.
Compute the mean and standard deviation of total length as follows:
Since X, Y and Z all follow a Normal distribution, the random variable T, representing the total length will also follow a normal distribution.
Compute the probability that the the total length after insertion is between 34.5 and 35 inches as follows:
*Use a z-table.
Thus, the probability that the the total length after insertion is between 34.5 and 35 inches is 0.1589.