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SSSSS [86.1K]
1 year ago
8

What is 13/56 + 5/7=

Mathematics
1 answer:
Darya [45]1 year ago
7 0
<span>The question is asking us to calculate : 13/56 + 5/7. To do this we have first to find the common denominator for these fractions. We know that 56 = 7 * 8, so the common denominator is 56. Then we will multiply the numerator and the denominator of the second fraction by 8. 5/7 * 8/8 = 40/56. Finally we will add : 13/56 + 40/56 = 53/56 and that is the final answer, which can not be simplified. Answer: 53/56</span>
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Complete the similarity statement for the two triangles shown. Enter your answer in the box. △XBR∼△ Two similar triangles B R X
Andreyy89

Answer:  

Here, BRX and NJY are two triangles in which,

BR = 30 cm, RX = 40 cm, BX = 60 cm, NJ = 15 cm, JY = 20 cm and NY = 30 cm,

Also, m∠B = m∠N, m∠R = m∠J and m∠X = m∠Y,

By the property of congruence,

\angle B \cong \angle N, \angle R \cong \angle J and \angle X \cong \angle Y

Thus, By AAA similarity postulate,

\triangle BRX\sim \triangle NJY

Hence, proved.

5 0
2 years ago
You have a set of numeric tiles, from 1 and 6. You randomly chose one tile. How many possible outcomes are there?
fredd [130]
The are 6 possible outcomes because there are 6 tiles.
7 0
2 years ago
What is the sum of 3/2x and 7/4x
Advocard [28]


3/2x +7/4x = ...........

3/2x(4/4)+7/4x(2/2)

12/8x+14/8x = 26/8x

26/8x = 13/4x(3.25x)  

4 0
2 years ago
Read 2 more answers
The mean of a normally distributed group of weekly incomes of a large group of executives is $1,000 and the standard deviation i
olga_2 [115]

Answer:

The z-score (value of z) for an income of $1,100 is 1.

Step-by-step explanation:

We are given that the mean of a normally distributed group of weekly incomes of a large group of executives is $1,000 and the standard deviation is $100.

<em>Let X = group of weekly incomes of a large group of executives</em>

So, X ~ N(\mu=1,000 ,\sigma^{2}  = 100^{2})

The z-score probability distribution for a normal distribution is given by;

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

where, \mu = mean income = $1,000

            \sigma = standard deviation = $100

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.

Now, we are given an income of $1,100 for which we have to find the z-score (value of z);

So, <em><u>z-score</u></em> is given by = \frac{X-\mu}{\sigma} = \frac{1,100-1,000}{100} = 1

<em>Hence, the z-score (value of z) for an income of $1,100 is 1.</em>

4 0
1 year ago
Fowle Marketing Research, Inc., bases charges to a client on the assumption that telephone surveys can be completed in a mean ti
ser-zykov [4K]

Answer:

a)  Null hypothesis:  \mathbf{H_0 : \mu \leq 15}

Alternative hypothesis: \mathbf{H_1 = \mu > 15}

b) the test statistics is : 2.15

c) The p-value is 0.0158

d) NO, there is evidence that the mean time of telephone survey is less than 15 and premium rate is not justified.

Step-by-step explanation:

The data in the  Microsoft Excel are:

17;11;12;23;20;23;15;

16;23;22;18;23;25;14;

12;12;20;18;12;19;11;

11;20;21;11;18;14;13;

13;19; 16;10;22;18;23.

a) Formulate the null and alternative hypotheses for this application.

From the question, Fowle Marketing Research Inc. is taking base charge from a client on the given assumption that if the mean time of telephone survey is 15 minutes or less.

The null and alternative hypotheses are therefore as follows:

Null hypothesis:  \mathbf{H_0 : \mu \leq 15}

The null hypothesis states that there is evidence that the mean time of telephone survey is less than 15 and premium rate is not justified.

Alternative hypothesis: \mathbf{H_1 = \mu > 15}

The alternative hypothesis states that there is evidence that the mean time of telephone survey exceeds 15 and premium rate is justified.

b) Compute the value of the test statistic.

Given that:

\mu = 15

\sigma = 3.6

n = 35

The sample mean \bar x = \dfrac{ \sum x}{n}  is;

\bar x = \dfrac{ 17+11+12 ... 22+18+23}{35}

\bar x = 17

Thus:

z = \dfrac{ \bar  x - \mu }{\dfrac{\sigma}{\sqrt{n}}}

z = \dfrac{ 17 - 15}{\dfrac{3.6}{\sqrt{15}}}

z = \dfrac{ 2}{0.9295}}

\mathbf{z =2.15}

Thus; the test statistics is : 2.15

c) What is the p-value?

p-value = P(Z > 2.15)

p-value = 1 - P(Z ≤ 2.15)

From the standard normal table, the value of P(Z ≤ 2.15) is 0.9842

p-value = 1 - 0.9842

p-value = 0.0158

The p-value is 0.0158

d)  At a = .01, what is your conclusion?

According to the rejection rule, if p-value is less than 0.01 then reject null hypothesis at ∝ = 0.01

Thus; p-value =  0.0158 >  ∝ = 0.01

By the rejection rule, accept the null hypothesis.

Therefore, there is evidence that the mean time of telephone survey is less than 15 and premium rate is not justified.

4 0
1 year ago
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