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soldier1979 [14.2K]
3 years ago
6

How do I solve this?

Mathematics
1 answer:
Len [333]3 years ago
7 0
5 Girls + 3 Boys =8 (sample size)

Probability of choosing 1 boy P(1 B) = 3/8

Probability of NOT CHOOSING ANY BOY = 1-3/8 =5/8

Now apply the binomial probability to choose 3 Boys:

8C3(3/8)³(5/8)⁵ ==>P(All boys) = 0.28
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Give at least four different symbols that have been used to represent specific statistical measures. Describe what measure each
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Answer:

Variance                    0²

standard deviation   0×

mean                          α

median                      x-bar

Step-by-step explanation:

these are the four different symbols that have been used to represent specific statistical measures like for example, mean which is used to calculate the average value of a sample or population. Variance is the what is expected from the squared standard deviation of a random variable from is average vale/ mean. Median is the value that lies in the middle in a random sample and lastly the standard deviation is the square root of the variance and it measures how the values of sample are spread or how far are they from the mean. these are also commonly use in excel a lot to calculate and evaluate data.

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3 years ago
3 to the fifth power over 3
ycow [4]

Answer:

Step-by-step explanation:

\frac{3^5}{3}  = 3^{4}   or 81.

5 0
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Discuss how these two branches of statistics will provide different capabilities and impacts in your engineering discipline. Pro
Makovka662 [10]

Answer:

Key Differences Between Descriptive and Inferential Statistics:

The difference between descriptive and inferential statistics can be drawn clearly on the following grounds:

Descriptive Statistics is a discipline which is concerned with describing the population under study. Inferential Statistics is a type of statistics; that focuses on drawing conclusions about the population, on the basis of sample analysis and observation.

Descriptive Statistics collects, organises, analyzes and presents data in a meaningful way. On the contrary, Inferential Statistics, compares data, test hypothesis and make predictions of the future outcomes.

There is a diagrammatic or tabular representation of final result in descriptive statistics whereas the final result is displayed in the form of probability.

Descriptive statistics describes a situation while inferential statistics explains the likelihood of the occurrence of an event.

Descriptive statistics explains the data, which is already known, to summarise sample. Conversely, inferential statistics attempts to reach the conclusion to learn about the population; that extends beyond the data available.

Ex. Of 350 randomly selected people in the town of Luserna, Italy, 280 people had the last name Nicolussi. An example of descriptive statistics is the following statement :

"80% of these people have the last name Nicolussi."

Ex. Of 350 randomly selected people in the town of Luserna, Italy, 280 people had the last name Nicolussi. An example of inferential statistics is the following statement :

"80% of all people living in Italy have the last name Nicolussi."

We have no information about all people living in Italy, just about the 350 living in Luserna. We have taken that information and generalized it to talk about all people living in Italy. The easiest way to tell that this statement is not descriptive is by trying to verify it based upon the information provided.

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3 years ago
Based on the diagram shown, all of the following are true statements except
ira [324]

You are correct. The answer is choice C.

The other choices A, B, D have each side add up to 180 degrees either because the angles are a linear pair (adjacent and supplementary) or because the angles are same side interior angles. Same side interior angles are supplementary if a transversal line cuts through a pair of parallel lines as so happens in this diagram.

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