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zheka24 [161]
2 years ago
8

Lidia keeps eight cards with the picture of a tomato and four cards with the picture of a carrot on a table face down, so the pi

ctures are hidden. She mixes up the cards then turns over one card and finds the picture of a carrot on it. She removes this card from the table and turns over another card.
What is the probability that the card Lidia turns over has a carrot on it?

A. 3/12
B. 3/11
C. 7/12
D. 7/11

I need help
Mathematics
1 answer:
Jobisdone [24]2 years ago
6 0
The probability would be 3/12 so the correct answer is A.
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A box of chocolate cost $24.99 Plus 7% tax. What is the final price for the box of chocolates??
strojnjashka [21]

Answer:

$26.74

Step-by-step explanation:

24.99 x .07= 1.7493

24.99+1.7493= 26.7393

Round to nearest cent

$26.74

BRAINLIEST PLZZ :)

5 0
3 years ago
2x+y=3 ,<br>x + 3y = -12 ​
mel-nik [20]
I think the answer would be 3
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3 years ago
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Margaret [11]
(5+6=miles per hour)
i hope this helps
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m=miles
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5 0
3 years ago
a boat salesperson earns a 2.5% commission on the sale of each boat Find the commision earned on a boat that sells for 18,500
marin [14]
100% = 1.0
2.5% = 0.025

So now we know the decimal that corresponds to 2.5%, so all we have to do is multiply the price of the boat by this value in order to find the commission earned:

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5 0
4 years ago
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The operating costs for each machine for one day have an unknown distribution with mean 1610 and standard deviation 136 dollars.
Lelechka [254]

Answer:

The standard deviation for the sample mean distribution is \sigma_{\bar{X}}=\frac{136}{\sqrt{45}}=\frac{136\sqrt{5}}{15} \approx 20.274

Step-by-step explanation:

The central limit theorem states that if you have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population then the distribution of the sample means will be approximately normally distributed.

For the random samples we take from the population, we can compute the standard deviation of the sample means:

\sigma_{\bar{X}}=\frac{\sigma}{\sqrt{n}}

From the information given

The standard deviation σ = 136 dollars

The sample n = 45

Thus,

\sigma_{\bar{X}}=\frac{136}{\sqrt{45}}=\frac{136\sqrt{5}}{15} \approx 20.274

The standard deviation for the sample mean distribution is \sigma_{\bar{X}}=\frac{136}{\sqrt{45}}=\frac{136\sqrt{5}}{15} \approx 20.274

7 0
4 years ago
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