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vichka [17]
3 years ago
8

A bag contains 4 red balls numbered 2, 4, 5, 8 and 6 white balls numbered 1, 3, 6, 7, 9, 10. if a ball is drawn at random, what

is the probability the ball is
a. red or odd-numbered
b. white or even-numbered?
Mathematics
1 answer:
SIZIF [17.4K]3 years ago
8 0
8 percent 
4 percent i think
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21=3g help me please lol i just got a math question saying 21=3g
Ad libitum [116K]

Answer:

g=7

Step-by-step explanation:

21=3g

g=7

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What is the area?<br> 20 in<br> 25 in<br> square inches
slava [35]

Answer:

<em>2</em><em>5</em><em>0</em><em> </em><em>in </em><em>sq</em>

Step-by-step explanation:

<em>Here's</em><em> the</em><em> solution</em>

<em>=</em><em>></em><em> </em><em>Base </em><em>=</em><em> </em><em>2</em><em>5</em><em>i</em><em>n</em><em> </em>

<em>=</em><em>></em><em> </em><em>Height</em><em> </em><em>=</em><em> </em><em>2</em><em>0</em><em>i</em><em>n</em>

<em>=</em><em>></em><em>We </em><em>need</em><em> to</em><em> </em><em>find </em><em>out</em><em> area</em><em> of</em><em> traingle</em>

<em>=</em><em>></em><em> </em><em>Area</em><em> of</em><em> </em><em>traingle </em><em>=</em><em> </em><em>1</em><em>/</em><em>2</em><em>*</em><em>base </em><em>*</em><em>height</em><em> </em>

<em>=</em><em>></em><em> </em><em>Area</em><em> </em><em>=</em><em> </em><em>1</em><em>/</em><em>2</em><em>*</em><em>2</em><em>0</em><em>*</em><em>2</em><em>5</em><em> </em>

<em>=</em><em>></em><em> </em><em>Area</em><em>=</em><em> </em><em>2</em><em>5</em><em>0</em><em> </em><em>in </em><em>sq</em>

<em>hope</em><em> it</em><em> helps</em><em>. </em><em> </em><em>^</em><em>_</em><em>^</em>

7 0
3 years ago
Read 2 more answers
According to the Bureau of Labor Statistics it takes an average of 16 weeks for young workers to find a new job. Assume that the
Leya [2.2K]

Answer:

1.25% probability that 20 young workers average less than 15 weeks to find a job

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 16, \sigma = 2, n = 20, s = \frac{2}{\sqrt{20}} = 0.4472

What is the probability that 20 young workers average less than 15 weeks to find a job?

This is the pvalue of Z when X = 15. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{15 - 16}{0.4472}

Z = -2.24

Z = -2.24 has a pvalue of 0.0125.

1.25% probability that 20 young workers average less than 15 weeks to find a job

5 0
3 years ago
HEELP I'll give brainliest ​
andrey2020 [161]

Answer:

28.3

Step-by-step explanation:

12/20 = 17/x

cross multiply

12x=340

divide each side by 12

x=28.3333333333.......

round it to nearest tenth

28.3

7 0
3 years ago
If all possible random samples of size n are taken from a population, and the mean of each sample is determined, the mean of the
NemiM [27]

Answer:

A. exactly the same as the population mean.

Step-by-step explanation: This demonstration illustrates Rule 1 of the Central Limit Theorem: The mean of the population and the mean of the sampling distribution of means will always have the same value. Thus, the sampling distribution of the mean will have a normal shape, even though the population distribution does not.

To calculate the mean, add up all the values and divide by the number of values. There are two types of arithmetic mean: population mean and the sample mean.

6 0
3 years ago
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