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Slav-nsk [51]
3 years ago
13

Using adding and substitution to find the value of x for the set of equations x-y=120 x+y=150

Mathematics
1 answer:
Ronch [10]3 years ago
5 0
X= 135 and Y = 15. Hope that helps!
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I'm confused on how to create ratios
Rzqust [24]

Answer:

Latoya:

cran : lem = 2 1/5 : 1 4/5

= 11/5 : 9/5

= 11 : 9

Lem : total = 9 : 20

Parker:

cran : lem = 2 1/2 : 3 1/2

= 5/2 : 7/2

= 5 : 7

Lem : total = 7 : 12

Step-by-step explanation:

8 0
2 years ago
In a building that is 854 ft tall, a serial killer at a height of 858.7 ft took a shot at unsuspecting victim who was located 10
UNO [17]

Answer:109.20

Step-by-step explanation:simple answer son

6 0
3 years ago
Write each of these in scientific notation <br> 1) 0.00000402<br> 2) 1,900,000
Mkey [24]

Answer:

See below in bold.

Step-by-step explanation:

1. 0.00000402

= 4.02 * 10^-6  (Counting the digits after the decimal point until we get to the 4 gives us the -6).

2.  1,900,000

= 1.9 * 10^6    ( counting the number of digits after the 1 gives us 6).

3 0
3 years ago
A study of the amount of time it takes a mechanic to rebuild the transmission for a 1992 Chevrolet Cavalier shows that the mean
Dovator [93]

Answer:

B) 0.0069

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question, we have that:

\mu = 8.4, \sigma = 1.8, n = 40, s = \frac{1.8}{\sqrt{40}} = 0.2846

Find the probability that their mean rebuild time exceeds 9.1 hours.

This is 1 subtracted by the pvalue of Z when X = 9.1. So

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

By the Central Limit Theorem

Z = \frac{9.1 - 8.4}{0.2846}

Z = 2.46

Z = 2.46 has a pvalue of 0.9931

1 - 0.9931 = 0.0069

So the answer is B.

6 0
3 years ago
PLEASE HELP!! // True Or False ?
Nataliya [291]

Answer:

1. TRUE

2. False

3. TRUE

4. False

5. TRUE

6. False

Step-by-step explanation:

1. 6859^(1/3) = 19 = ∛(19^3)

__

2. 2197^(1/3) = 13 ≠ 9·2

__

3. 8000^(1/3) = 20 = 10·2

__

4. 9261^(1/3) = 21 ≠ 13

__

5. 3375^(1/3) = 15 = 5·3

__

6. 5832^(1/3) = 18 ≠ 3·7

7 0
3 years ago
Read 2 more answers
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