How Likely Is More Than Two Successes in Six Trials with 10% Success Rate?

In summary, a probability stats problem is a mathematical question that involves calculating the likelihood of an event occurring based on given data or information. The key concepts in probability statistics include sample space, events, probability, and random variables. To calculate probability in a stats problem, one needs to identify the sample space and events involved and use the appropriate formula. Theoretical probability is based on mathematical calculations and assumptions, while experimental probability is based on actual data or observations. Probability stats problems have many applications in real life, such as weather forecasting, stock market trends, and medical data analysis, and can aid in decision making in various fields.
  • #1
nachelle
4
0
given trails n = 6, success probability p = 0.1



radou said:
[tex]P(x > 2) = 1 - P(x \leq 2)[/tex]
[tex]P(x \leq 2) = \left( \begin{array}{c} 8 \\ 0 \end{array} \right) 0.3^0 (1-0.3)^{8-0} + \cdots[/tex] (sum until x = 2, including that case)

help
 
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  • #2
First, do not post same questions. Second, if you expect someone to solve the whole problem step by step (i.e. number by number), then you might be in the wrong forum. Third, without using your head, you won't solve any problem. Fourth, I'm not being rude.
 
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  • #3
please

[/QUOTE]

Sure, I can help you with this probability problem. It seems like you are trying to find the probability of having more than 2 successes out of 6 trials, given a success probability of 0.1. First, let's clarify some notation:

- n = 6 represents the number of trials
- p = 0.1 represents the probability of success for each trial
- P(x > 2) represents the probability of having more than 2 successes out of 6 trials

To solve this problem, we can use the binomial distribution formula, which is P(x) = (n choose x) * p^x * (1-p)^(n-x). Using this formula, we can calculate the probability of having exactly 0, 1, or 2 successes out of 6 trials. Then, we can subtract this probability from 1 to get the probability of having more than 2 successes.

So, let's start by finding the probability of having exactly 0, 1, or 2 successes out of 6 trials:

- P(x = 0) = (6 choose 0) * 0.1^0 * (1-0.1)^(6-0) = 0.5314
- P(x = 1) = (6 choose 1) * 0.1^1 * (1-0.1)^(6-1) = 0.3543
- P(x = 2) = (6 choose 2) * 0.1^2 * (1-0.1)^(6-2) = 0.0984

Now, we can add these probabilities together to find the total probability of having 0, 1, or 2 successes:

P(x \leq 2) = 0.5314 + 0.3543 + 0.0984 = 0.9841

Finally, we can subtract this probability from 1 to find the probability of having more than 2 successes:

P(x > 2) = 1 - P(x \leq 2) = 1 - 0.9841 = 0.0159

Therefore, the probability of having more than 2 successes out of 6 trials, given a success probability of 0.1, is approximately 0.0159 or 1.59
 

FAQ: How Likely Is More Than Two Successes in Six Trials with 10% Success Rate?

What is a probability stats problem?

A probability stats problem is a mathematical question that involves calculating the likelihood of an event occurring based on given data or information. It is often used in fields such as science, economics, and psychology to make predictions and informed decisions.

What are the key concepts in probability statistics?

The key concepts in probability statistics include sample space, events, probability, and random variables. Sample space refers to the set of all possible outcomes of an experiment, while events are subsets of the sample space. Probability is a measure of the likelihood of an event occurring, and random variables are variables whose values are determined by the outcome of a random event.

How do you calculate probability in a stats problem?

To calculate probability in a stats problem, you need to first identify the sample space and events involved. Then, use the appropriate formula to calculate the probability. For example, if all outcomes in the sample space are equally likely, the probability of an event occurring is the number of outcomes that satisfy the event divided by the total number of outcomes in the sample space.

What is the difference between theoretical and experimental probability?

Theoretical probability is the probability of an event occurring based on mathematical calculations and assumptions. It is often used in theoretical or ideal situations. Experimental probability, on the other hand, is the probability of an event occurring based on actual data or observations from experiments. It is often used to make predictions in real-life scenarios.

How can probability stats problems be applied in real life?

Probability stats problems can be applied in various real-life situations such as weather forecasting, predicting stock market trends, and analyzing medical data. They can also help in making informed decisions in fields such as sports, business, and politics.

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