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zavuch27 [327]
3 years ago
15

In a certain​ lottery, an urn contains balls numbered 1 to 26. From this​ urn, 6 balls are chosen​ randomly, without replacement

. For a​ $1 bet, a player chooses one set of six numbers. To​ win, all six numbers must match those chosen from the urn. The order in which the balls are selected does not matter. What is the probability of winning this lottery with one​ ticket?
Mathematics
1 answer:
expeople1 [14]3 years ago
4 0

Answer:

\frac{1}{230230}

Step-by-step explanation:

Given that in a certain​ lottery, an urn contains balls numbered 1 to 26

From this​ urn, 6 balls are chosen​ randomly, without replacement.

Bet amount 1 dollar and he selects a set of six numbers.

If these match with those chosen from the urn he wins (order does not matter)

Total ways of choosing 6 out of 26 = 26C6 = \frac{26!}{20!6!} \\=230230

The way he selects = 1

Hence probability of winning  =\frac{1}{230230}

with one ticket

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C. 120°

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THIS IS THE COMPLETE QUESTION;

A school creates a histogram representing the individual travel times for students riding the bus to school. The histogram is right-skewed, and the mean time is 25 minutes.

Which statement best describes the possible value of the median time of students riding the bus to school?

The median time is less than 25 minutes.

The median time is exactly equal to 25 minutes.

The median time is approximately equal to 25 minutes.

The median time is greater than 25 minutes.

Answer;

The median time is less than 25 minutes

Step-by-step explanation

✓When the histogram is skewed right, it implies that the mean is greater than the median which means The median time is less than the mean.

This is as a result of few large values that drive as a result of skewed-right data

✓Skewness can be explained as measure of the asymmetry of a histogram When a histogram is symmetrical when it has a normal distribution, i.e when the same amount of data falls on both sides of the mean. Ahistogram has a normal distribution will have a skewness of 0.

✓the skewness can be explained in terms positive/right relationship:

√nonparametric skew implies that the mean is greater than the median, which means it is at the the right.

√A negative/left nonparametric skew can be explained as when the mean is < the median. I e it fall to the left .

Therefore, the median is less than 25 minutes

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