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avanturin [10]
3 years ago
15

A car dealer offers 6 different models, 4 colors, and 3 kinds of transmissions. How many unique cars could you choose from at th

is dealership?
Mathematics
2 answers:
Mkey [24]3 years ago
8 0
6 × 4 × 3 = 72 cars.

72 different type of cars.
Naily [24]3 years ago
7 0

Answer: 72

Step-by-step explanation:

Given: The number of difference models of cars = 6

The number of different colors of cars = 4

The number of different kinds of transmissions= 3

Then, the number of unique cars will be given by :-

N=6\times4\times3=72

Therefore, the number of unique cars dealer can offer= 72.

Hence we can choose a unique car from 72 cars.

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A square has one<br> side that measures<br> 6 inches. What is<br> the perimeter of<br> the square?
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3 years ago
In a random sample of 200 engineers, 137 have a master's degree. what is the sample proportion, p-hat, of engineers who have mas
Blababa [14]

The sample proportion, p-hat, of engineers who have master's degrees is   68.5% out of 200 engineers.

p-hat proportion:

In this proportion,  "p" denotes the probability of a certain event occurring or a certain parameter being true for a certain population, but when a population is large, it may be impractical or impossible to measure it directly. So, we have used the proportion for that cases.

The general form for calculating p-hat proportion is,

\hat{p}=\frac{x}{y}

where

x  is the number of successes in the sample, and

y is the size of the sample.

Given,

In a random sample of 200 engineers, 137 have a master's degree.

Here we need to find the the sample proportion, p-hat, of engineers who have master's degrees

According to the question,

x = 137 (number of successes in the sample)

and y = 200 (size of the sample)

Now apply the value on the formula then we get,

\hat{p}=\frac{137}{200}

So, the value of p-hat is

\hat{p}=0.685

The results are usually reported as a percentage, which in this case would be

=> 0.685 x 100 = 68.5%

Therefore, the sample proportion, p-hat, of engineers who have master's degrees is 68.5% out of 200 engineers.

To know more about p-hat proportion here

brainly.com/question/1597320

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