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inessss [21]
3 years ago
7

Please help me with this .

Mathematics
2 answers:
natali 33 [55]3 years ago
5 0

Answer:

20:1

Step-by-step explanation:

every 20 dollar she spends she save 1 dollar

labwork [276]3 years ago
4 0
20:1 is the answer...
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Which statement is true? A. ABD DBC by SSS B. ABD DBC by SAS C. ABE DBC by SAS D. ABE CBD by SSS
Bumek [7]

Answer:

D. ABE =CBD by SSS.

Step-by-step explanation:

Given that AB = BD and BE = BC, the lengths of AE and CD are equal to each other. Hence, triangles ABE and BCD are congruent by SSS Theorem. The answer is D.

6 0
3 years ago
a cookie recipe yields 48 cookies calls for 2 cups of flour. a different cookie recipe yield 60 cookies calls for 3 cups. Are th
fenix001 [56]
No they are not.
48/2 = 24, 60/3=20.
24/=20. (24 does not equal 20)
6 0
4 years ago
Read 2 more answers
Can someone please help me in this
mel-nik [20]

Answer:

A=60

The angle measures from least to greatest are 60, 60, 120, 120

Step-by-step explanation:

360=6a

(divide by 6)

60=a

(plug it back in)

2a= 2(60)

2a=120

6 0
3 years ago
Which of these expressions is equivalent to 3 (x -2)
DaniilM [7]

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3 (x -2) = 3x - 6

4 0
3 years ago
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in the unted states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches. If 16
yaroslaw [1]

Answer:

Probability that their mean height is less than 68 inches is 0.0764.

Step-by-step explanation:

We are given that in the united states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches.

Also, 16 men are randomly selected.

<em>Let </em>\bar X<em> = sample mean height</em>

The z-score probability distribution for sample mean is given by;

              Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean height = 69 inches

            \sigma = population standard deviation = 2.8 inches

            n = sample of men = 16

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, probability that the mean height of 16 randomly selected men is less than 68 inches is given by = P(\bar X < 68 inches)

 P(\bar X < 68 inches) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{68-69}{\frac{2.8}{\sqrt{16} } } ) = P(Z < -1.43) = 1 - P(Z \leq 1.43)

                                                           = 1 - 0.9236 = 0.0764

<em>Now, in the z table the P(Z  x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.43 in the z table which has an area of 0.92364.</em>

Therefore, probability that their mean height is less than 68 inches is 0.0764.

3 0
4 years ago
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