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High school probability

Recent questions in High school probability

Jerold 2021-09-27

If a seed is planted, it has a 90% chance of growing into a healthy plant.
If 7 seeds are planted, what is the probability that exactly 2 don't grow?

Efan Halliday 2021-09-27

A fair quarters flipped three times. For each of the following probabilities, use the formula for the binomial distribution and a calculator to compute the requested probability. Next, look up the probability in the binomial probability distribution table. (Enter your answers to three decimal places.)
(b) Find the probability of getting exactly two heads.
(c) Find the probability of getting two or more heads.

Dillard 2021-09-26

If you toss a fair coin 11 times, what is the probability of getting all heads? Express the probability as a simplified fraction.
A) $\frac{1}{4096}$
B) $\frac{1}{2048}$
C) $\frac{1}{2}$
D) $\frac{1}{1024}$

floymdiT 2021-09-26

If the requirements of np ≥ 5 and nq ≥ 5 are both satisfied, estimate the indicated probability by using the normal distribution as an approximation to the binomial distribution; if np ≤ 5 or nq < 5, then state that the normal approximation should not be used. Births of Boys With n = 8 births and p = 0.512 for a boy, find P (exactly 5 boys).

Lennie Carroll 2021-09-26

Are the following examples random variables? If X is a random variable, fill in the blank with T; if it is not, fill in the blank with F.
Toss a coin 10 times and let X be the number of Heads?

Tolnaio 2021-09-26

Assume that the failure probability for any one integrated circuit chip in a very large shipment is 0.10. Assuming that the assumptions underlying the binomial distributions are met, find the probability that at most 4 chips fail in a random sample of 20.
The probability at most 4 chips fail is ?.

Yulia 2021-09-26

To explain: The result.
To explain: Whether the sample is a good one or not.
Given info:
Here, 200 adults say yes for regularly participating in at least one sport. Also, out of 200 adults who say yes, 9% say they participate in hiking.

Chardonnay Felix 2021-09-26

Assume that when adults with smartphones are randomly selected, 54% use them in meetings or classes (based on data from an LG Smartphone survey).
If 12 adult smartphone users are randomly selected, find the probability that fewer than 3 of them use their smartphones in meetings or classes.

Nann 2021-09-26

a) To find the probability of winning at least one prize if you purchase 10 tickets.
b) To find the probability of winning at least one prize if you purchase 15 tickets.

Daniaal Sanchez 2021-09-26

Find the value of $P (X = 8)$ if X is a binomial random variable with $n = 12$ and $p = 0.75$

mattgondek4 2021-09-26

On each of three consecutive days the National Weather Service announces that there is a 50-50 chance of rain. Assuming that the National Weather Service is correct, what is the probability that it rains on at most one of the three days? Justify your answer. (Hint: Represent the outcome that it rains on day 1 and doesn’t rain on days 2 and 3 as RNN.)

sagnuhh 2021-09-26

The probability of x success, given $n = 12, p = 0.35, x = 4$
The probability of x success, given $n = 17, p = 0.60, x = 9$

naivlingr 2021-09-25

The defective state of the material in a certain factory as "49%" has been determined. Also, the number of producing a piece of piece is 49. According to this
a) What is the characteristic that at most 2 of the 10 random materials are defective?
b) What is the failure of machines that are crushed in a material?

CoormaBak9 2021-09-25

A binomial probability is given. Write the probability in words. Then, use a continuity correction to convert the binomial probability to a normal distribution probability:
$P (x > 116)$
Write the probability in words.
The probability of getting _ 116 successes.
Which of the following is the normal probability statement that corresponds to the binomial probability statement?
A. $P (x > 116.5)$
B. $P (x > 115.5)$
C. $P (115.5 < x < 116.5)$
D. $P (x < 115.5)$
E. $P (x < 116.5)$

cistG 2021-09-25

A sample of 5 parts is drawn without replacement from a total population of 13 parts. Determine the probability of getting exactly 3 defective parts. The population is known to have 6 defective parts.

opatovaL 2021-09-25

At fault The car insurance company in Exercise 8 believes that about 0.5% of drivers have an at-fault accidentduring a given year. Suppose the company insures 1355 drivers in that city.
a) What are the mean and standard deviation of the number who may have at-fault accidents?
b) Can you describe the distribution of these accidents with a Normal model? Explain.

defazajx 2021-09-25

A binomial probability is given. Write the probability in words. Then, use a continuity correction to convert the binomial probability to a normal distribution probability.
$ P (x = 98 )$
Write the probability in words.
The probability of getting ? 98 successes.

Tolnaio 2021-09-25

A test to determine whether a certain antibody is present is 99.7% effective. This means that the test will accurately come back negative if the antibody is not present (in the test subject) 99.7% of the time. The probability of a test coming back positive when the antibody is not present (a false positive) is 0.003.
Suppose the test is given to seven randomly selected people who do not have the antibody.
What is the probability that the test comes back negative for all seven people? and what is the probability that the test comes back positive for at least one of the seven people?

usagirl007A 2021-09-25

Whether it is appropriate to use a binomial probability distribution to obtain the probability that a contestant wins the game exactly twice out of five times or not.
Given: Consider the provided information in which there are 6 identical boxes, out of which one contains a prize. A contestant who wins the game exactly twice out of five times.

Kaycee Roche 2021-09-25

Which binomial probability is represented on the screen below?
Binompdf (8,.3,2)
A. The probability of 8 successes in 2 trials where the probability of success is .3.
B. The probability of 2 successes in 8 trials where the probability of failure is .3.
C. The probability of 2 successes in 8 trials where the probability of success is .3.
D.The probability of 8 failures in 2 trials where the probability of failure is .3.

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