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photoshop1234 [79]
3 years ago
12

What is a answer that has been rounded calked

Mathematics
1 answer:
Tomtit [17]3 years ago
5 0

Answer:

guess

Step-by-step explanation:

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Need help again math 7th grade ​
Olenka [21]

Answer: 1/2 as a fraction

.5 as a decimal

Step-by-step explanation: The probability of them rolling a number would be 3/6 or simplified 1/2 because if there is a 6 sided dice the denominator would be 6 and there are 3 odd numbers on the dice which are 1,3,and 5 so if u have to simplify it would be 1/2 if not 3/6. Also 1/2 as a decimal would be .5

4 0
3 years ago
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Help with this question? thx
Sedbober [7]
EXPLANATION:
1.25 + 0.8 + 2.75 = $4.8

ANSWER: $4.8
6 0
2 years ago
The first number in the pattern is 32 the rule is to add 27​
svetlana [45]

Answer:

59

Step-by-step explanation:

4 0
3 years ago
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Solve the system of equations. -4x+7y = 20 & y=3x+15
andreyandreev [35.5K]

Substitute y = 3x + 15 to the equation -4x + 7y = 20:

-4x + 7(3x + 15) = 20          <em>use distributive property</em>

-4x + (7)(3x) + (7)(15) = 20

-4x + 21x + 105 = 20     <em>subtract 105 from both sides</em>

17x = -85     <em>divide both sides by 17</em>

x = -5

Substitute the value of x to the equation y = 3x + 15:

y = 3(-5) + 15

y = -15 + 15

y = 0

<h3>Answer: x = -5 and y = 0</h3>
7 0
3 years ago
a stock broker has kept a daily record of the value of a particular stock over the years and finds that the prices of the stock
Rainbow [258]

Answer:

The stock price beyond which 0.05 of the distribution fall is $12.44.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Mean of $8.52 with a standard deviation of $2.38

This means that \mu = 8.52, \sigma = 2.38

The stock price beyond which 0.05 of the distribution fall is

This is the 100 - 5 = 95th percentile, which is X when Z has a pvalue of 0.95. So X when Z = 1.645.

Z = \frac{X - \mu}{\sigma}

1.645 = \frac{X - 8.52}{2.38}

X - 8.52 = 1.645*2.38

X = 12.44

The stock price beyond which 0.05 of the distribution fall is $12.44.

5 0
3 years ago
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