# Get high school probability homework help

Recent questions in Probability
Diana Suarez 2022-09-22

### A machine fills containers with a particular product. The standard deviation of filling weights is known from past data to be 0.6 ounce. If only $2\mathrm{%}$ of the containers hold less than 18 ounces, what is the mean filling weight for the machine? That is what must $\mu$ equal? Assume the filling weights have a normal distribution.

GepGreeloCesyjk 2022-09-20

### Suppose you purchase one California SuperLotto Plus lottery ticket. Here's how to play: Pick five numbers from 1 to 47 (no repeats allowed) and then pick one Mega number from 1 to 27.a. Find the probability you get the Mega number, but none of your five numbers match the winning numbers.b. Find the probability you get the Mega number and exactly two of your five numbers match the winning numbers.c. Find the probability you get the Mega number and all give of your five numbers match the winning numbers.

Jackson Garner 2022-09-17

### What is the probability of obtaining ten tails in a row when flipping a coin? Interpret this probability. The probability of obtaining ten tails in a row when flipping a coin is

Truscelli3h 2022-09-15

### For a binomial distribution, which probability is not equal to the probability of 1 success in 5 trials where the probability of success is 0.4?the probability of 4 failures in 5 trials where the probability of success is 0.6the probability of 1 success in 5 trials where the probability of failure is 0.6the probability of 4 failures in 5 trials where the probability of failure is 0.6the probability of 4 failures in 5 trials where the probability of success is 0.4

ubumanzi18 2022-09-14

### Complete the following probability table. (Round Prior Probabilty and Posterior Probability answer to 2 decimal places and Joint Probability answer to 4 decimal places)$\begin{array}{|cccc|}\hline \text{Prior Probability}& \text{Conditional Probability}& \text{Join Probability}& \text{Posterior Probability}\\ P\left(B\right)0.52& P\left(A|B\right)0.13& P\left(A\cap B\right)& P\left(B|A\right)\\ P\left({B}^{C}\right)& P\left(A|{B}^{C}\right)0.47& P\left(A\cap {S}^{C}\right)& P\left({B}^{C}|A\right)\\ \text{Total}& & P\left(A\right)& \text{Total}\\ \hline\end{array}$

Kathryn Sanchez 2022-09-14

### In a random experiment, two dice are thrown. Find the probability that the sum of the rolled points is 8. Round the result to the nearest thousandth.

Kallie Fritz 2022-09-14

### For the Illinois Lottery's PICK 3 game, a player must match a sequence of three repeatable numbers, ranging from 0 to 9, in exact order (for example 5-5-2.) With a single ticket, what is the probability of matching the three winning numbers?

engausidarb 2022-09-14

### The probability of 6 while roling a dice equal to $\frac{1}{6}$ is an example ofobjective probabilityaxiomatic probabilityconditional probabilitysubjective probabilityclassic or symmetric probability

Frida Faulkner 2022-09-13

### At the ceramic tableware factory, 10% of the produced plates are defective. During product quality control, 75% of defective plates are detected. The rest of the plates are for sale. Find the probability that a plate randomly selected at the time of purchase has no defects. . Round your answer to the nearest hundredth.

cuuhorre76 2022-09-12

### Classify the statement as an example of classical probability, emprical probability, or subjective probability. Explan your reasoning. The probability of winning a 500 - ticket reffle with 10 tickets is $\frac{10}{500}=0.02$a) Empirical probability because the probability results from an estimateb) Classical probability because each outcome in the sample space is equally likelyc) Subjective probability because the probability results from an estimeted) Classical probability because the probability is based on observations obtained from a probability experimente) Subjective probability because each outcome in the sample space is equally likelyf) Empirical probability because the probability is based on observations obtained from a probability experiment

Pranav Ward 2022-09-12

### In a family with 12 children the p = probability of a boy = 0.5. Find the binomial exact probability of less than 1 boy. And find the normal approximate probability of less then 1 boy.a) Exact probability = 0.011, Approx probability = 0.013b) Exact probability = 0.019, Approx probability = 0.022c) Exact probability = 0.003, Approx probability = 0.005d) Exact probability = 0.055, Approx probability = 0.057

Gauge Odom 2022-09-12

### On the plate are pies, identical in appearance: 4 with meat, 8 with cabbage and 3 with cherries. Petya randomly chooses one pie. Find the probability that the pie will have a cherry.

Natalya Mayer 2022-09-12

### A die is thrown twice. Find the probability that a number greater than 3 is rolled both times.

Gretchen Allison 2022-09-11

### 13 athletes from America, 2 athletes from Norway and 5 athletes from Sweden participate in cross-country skiing. The order in which the athletes start is determined by lot. Find the probability that an athlete from Norway or Sweden will start first? find the probability that Will a non-American athlete start first?

tamola7f 2022-09-11

### How can you desing a dice where the probability of 2 occurs is twice the probability of 1 occurs, the probability of 3 occurs is three times the probability of 1 occurs, the probability of 4 occurs is four times the probability of 1 occurs, the probability of 5 occurs is five times the probability of 1 occurs, and the probability of 6 occurs is six times the probability of 1 occurs?

tamolam8 2022-09-11

### A die is thrown twice. Find the probability that a number less than 4 is rolled at least once.

nikakede 2022-09-11

### "Draw one card from a standard deck of playing cards. Let’s examine the independence of 3 events ‘the card is an ace’, ‘the card is a heart’ and ‘the card is red’. Define the events as $A{=}^{\prime }ac{e}^{\prime }$, $H=‘heart{s}^{\prime }$, $R=‘re{d}^{\prime }$."With and $P\left(R\right)=\frac{1}{21}$ I get $\frac{1}{4}$ for $P\left(H|R\right)$. So this basically says that P(H) and P(R) are independent, since H and P are independent iff $P\left(H|R\right)=P\left(H\right)$ . I know that that's not correct from the source, so now I am wondering how I can then calculate the conditional probability for dependent events and how I would know beforehand. Why is $P\left(H|R\right)$ actually $\frac{1}{2}$ ?

kybudmanqm 2022-09-10