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Vaselesa [24]
4 years ago
11

If x+3/3 = y+2/2, then x/3 = ?A. Y + 1B. Y / 3C. Y / 2D. Y - 1​

Mathematics
1 answer:
m_a_m_a [10]4 years ago
8 0

Answer:

C

Step-by-step explanation:

(x+3)/3 =(y+2)/2

x/3 +3/3 = y/2 +2/2

x/3 +1 = y/2 +1

x/3 = y/2

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Ms. Walker gave her students a biology test last week. Here are the test scores for each of the fifteen students. Test scores 81
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The completion of the grouped frequency distribution for the test scores of the fifteen students that took the biology test last week is as follows:

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<h3>What is a frequency distribution?</h3>

A frequency distribution is a pictorial or graphical representation that shows the number of observations of each categorical value (a group of values) that occurs.

By showing the frequency counts for each category, it becomes easier to determine and interpret the presented information based on their relative frequencies.

Frequency charts, tables, or graphs are used to display frequency distributions of data.

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3 years ago
Twenty-five samples of 100 items each were inspected when a process was considered to be operating satisfactorily. In the 25 sam
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a) The estimate of the proportion of defectives when the process is in control is 0.054

b) The standard error of the proportion if the sample size is 100 is 0.0226.

c) The upper control limit is 0.1218 and the lower control limit is 0 (since LCL < 0 and p > 0, we can write LCL = 0).

<h3>What are the formulas for finding the estimate of the proportion, standard variation, and control limits?</h3>

1) The estimate of the proportion of success is

p = (number of success)/(total number of samples)

I.e., p = x/N

2) The standard deviation of the proportion of success is

\sigma_p = \sqrt{\frac{p(1-p)}{n} }

3) The upper and lower control limits for a control chart are:

L.C.L = p - 3\sigma_p

and U.C.L = p + 3\sigma_p

<h3>Calculation:</h3>

It is given that, there are 25 samples of 100 items each.

So, the total number of items i.e., the total sample size,

N = 25 × 100 = 2500

In 25 samples, a total of 135 items were found to be defective.

So, the number of defectives x = 135

a) The estimate of the proportion of defectives is p = x/N

On substituting, we get

p = 135/2500 = 0.054

b) The standard error of the proportion if the sample of size 100 is calculated by

\sigma_p = \sqrt{\frac{p(1-p)}{n} }

On substituting p = 0.054 and  n = 100, we get

\sigma_p = \sqrt{\frac{0.054(1-0.54)}{100} }

    = 0.0226

c) The control limits for the control chart are:

Upper control limit =  p + 3\sigma_p

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⇒ L.C.L = 0.054 - 3(0.0226) = 0.054 - 0.0678 = - 0.0138 ≈ 0

(Since we know that the lower control limit should not be a negative value, it is made equal to 0).

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7 0
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You invest $10,000 at 7% for one year. What is the interest eamed after one year?
Lana71 [14]

Answer: $11,970

Step-by-step explanation: 10,000 + (1) 7.00% = 11,970

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