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Ahat [919]
3 years ago
7

I think the answer is c is this correct?

Mathematics
2 answers:
earnstyle [38]3 years ago
6 0

Answer:

C is the correct answer.

Step-by-step explanation:

Alchen [17]3 years ago
4 0
Yes C is the correct answer
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When a pair of dice is rolled, what is the probability that the sum of the dice is 5, given that the outcome is not 6? The proba
Andrew [12]

By definition of conditional probability,

P(sum is 5 | sum is not 6) = P(sum is 5 AND sum is not 6) / P(sum is not 6)

There are 4 ways of rolling the dice to get a sum of 5 out of 36 possible outcomes:

(1, 4), (2, 3), (3, 2), (4, 1)

so P(sum is 5) = 4/36 = 1/9.

There are 5 ways of getting a sum of 6 out of 36 possible outcomes:

(1, 5), (2, 4), (3, 3), (4, 2), (5, 1)

hence 31 ways of *not* getting a sum of 6, so P(sum is not 6) = 31/36.

The sum is 5 and *not* 6 simultaneously for the 4 ways already listed above, so the intersection of these two events is those 4 ways, which means

P(sum is 5 AND sum is not 6) = 1/9

Then

P(sum is 5 | sum is not 6) = (1/9) / (31/36) = 4/31

4 0
4 years ago
Solve for the value of r. (8r+6)° (9r-7)​
lukranit [14]

Answer:

r = 13

Step-by-step explanation:

these angles are vertical and are congruent

8r + 6 = 9r - 7

6 = r - 7

13 = r

8 0
3 years ago
Is it likely that the next 50 Sunday customers will spend an average of at least​ $40? Explain. Choose the correct answer below​
Brrunno [24]

Answer:

B. Yes it is likely. The probability that the next 50 Sunday customers will spend an average of at least​ $40 is P=0.0023.

Step-by-step explanation:

<em>The question is incomplete:</em>

<em>A grocery store’s receipts show that Sunday customer purchases have a skewed distribution with a mean of $32 and a standard deviation of $20.</em>

We have to assume certain conditions to calculate the probability that the next 50 Sunday customers will spend an average of at least​ $40.

First, this 50 purchases are representative of the total purchases made in the store (the same as saying it is a random sample).

Second, the 10% condition: the 50 sales represent less than 10% of all purchases.

Third, the sample of 50 sales is large enough to make an approximation to the normal distribution.

If all these conditions are met, we can approximate the probabiltity that the next 50 Sunday customers will spend an average of at least​ $40.

We have a sampling distribution, with mean 32 (equal to the population mean) and standard deviation:

\sigma_M=\dfrac{20}{\sqrt{50}}=\dfrac{20}{7.07}=2.83

Then, we calculate the z-score

z=\dfrac{X-\mu_M}{\sigma_M}=\dfrac{40-32}{2.83}=\frac{8}{2.83} =2.83

The probabilty can be calculated then as:

P(X_{50}>40)=P(z>2.83)=0.0023

5 0
3 years ago
How do I determine what the graph would look like for <br> y=−2x+1 y=−2x^2+1
artcher [175]
There should be a picture under the message I don’t know if it’s going to. Come through
8 0
4 years ago
X^2 + 2x + 5 find the zeros
Dvinal [7]

Answer:

Step-by-step explanation:

This is what I got

8 0
3 years ago
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