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hoa [83]
3 years ago
10

What is a discrete probability​ distribution? What are the two conditions that determine a probability​ distribution? What is a

discrete probability​ distribution? 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
Mathematics
1 answer:
choli [55]3 years ago
7 0

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.

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Answer:

The value of the test statistic is -3.14.

Step-by-step explanation:

Test statistic:

t = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the expected value, \sigma is the standard deviation and n is the size of the sample.

A company advertises that its cans of caviar each contain 100 g of their product.

This means that \mu = 100

They calculate a sample mean weight of 99 g and a sample standard deviation of 0.9 g. Sample of 8 cans.

This means that X = 99, \sigma = 0.9, n = 8

So the test statistic will be given by:

t = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

t = \frac{99 - 100}{\frac{0.9}{\sqrt{8}}}

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The value of the test statistic is -3.14.

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3 years ago
In the diagram below of triangle UVW, X is a midpoint of UV and Y is a midpoint
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Step-by-step explanation:

Given: X is midpoint of UV and Y is midpoint of VW.

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(By mid-point theorem)

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Answer:

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Step-by-step explanation:

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The right option is E

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