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Alisiya [41]
3 years ago
15

Estimate 10/12 - 3/8 using benchmark values. Your equation must show the estimate for each fraction and for the solution.

Mathematics
1 answer:
Anna35 [415]3 years ago
5 0

Answer:

The estimated values of given fraction are 1/2, 1/4 and 1/2 for benchmark values  1/2,  1/4 and  1/8 respectively.

Step-by-step explanation:

The given expression is

\frac{10}{12}-\frac{3}{8}

Case 1: Let the benchmark value be 1/2.

10/12 > 3/4 so we round it to 1.

1/4 ≤ 3/8 ≤ 3/4 so we round it to 1/2.

Estimating the solution:

1 - 1/2 = 1/2

Case 2: Let the benchmark value be 1/4.

5/8 ≤ 10/12 < 7/8 so we round it to 3/4.

3/8 ≤ 3/8 < 5/8 so we round it to 2/4.

Estimating the solution:

3/4 - 2/4 = 1/4

Case 3: Let the benchmark value be 1/8.

13/16 ≤ 10/12 < 15/16 so we round it to 7/8.

5/16 ≤ 3/8 < 7/16 so we round it to 3/8.

Estimating the solution:

7/8 - 3/8 = 1/2

Therefore the estimated values of given fraction are 1/2, 1/4 and 1/2 for benchmark values  1/2,  1/4 and  1/8 respectively.

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$1,800 is 1.4% of what property value
Galina-37 [17]

Answer:

$1800 is 1.4% of $128,571.428571

Step-by-step explanation:

To find what number 1800 is 1.4% of, divide the 1.4% in it's decimal form of 0.014 by 1800.

Giving the equation:

1800÷.014

When gives the answer:

128571.428571

8 0
3 years ago
Read 2 more answers
The heights of 40 randomly chosen men are measured and found to follow a normal distribution. An average height of 175 cm is obt
AVprozaik [17]

Answer:

95% two-sided confidence interval for the true mean heights of men is [168.8 cm , 181.2 cm].

Step-by-step explanation:

We are given that the heights of 40 randomly chosen men are measured and found to follow a normal distribution.

An average height of 175 cm is obtained. The standard deviation of men's heights is 20 cm.

Firstly, the pivotal quantity for 95% confidence interval for the true mean is given by;

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

where, \bar X = sample average height = 175 cm

            \sigma = population standard deviation = 20 cm

            n = sample of men = 40

<em>Here for constructing 95% confidence interval we have used One-sample z test statistics as we know about population standard deviation.</em>

So, 95% confidence interval for the true mean, \mu is ;

P(-1.96 < N(0,1) < 1.96) = 0.95  {As the critical value of z at 2.5%

                                     level of significance are -1.96 & 1.96}  

P(-1.96 < \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } } < 1.96) = 0.95

P( -1.96 \times }{\frac{\sigma}{\sqrt{n} } } < {\bar X-\mu} < 1.96 \times }{\frac{\sigma}{\sqrt{n} } } ) = 0.95

P( \bar X-1.96 \times }{\frac{\sigma}{\sqrt{n} } } < \mu < \bar X+1.96 \times }{\frac{\sigma}{\sqrt{n} } } ) = 0.95

<u>95% confidence interval for </u>\mu = [ \bar X-1.96 \times }{\frac{\sigma}{\sqrt{n} } } , \bar X+1.96 \times }{\frac{\sigma}{\sqrt{n} } } ]

                                            = [ 175-1.96 \times }{\frac{20}{\sqrt{40} } } , 175+1.96 \times }{\frac{20}{\sqrt{40} } } ]

                                            = [168.8 cm , 181.2 cm]

Therefore, 95% confidence interval for the true mean height of men is [168.8 cm , 181.2 cm].

<em>The interpretation of the above interval is that we are 95% confident that the true mean height of men will be between 168.8 cm and 181.2 cm.</em>

3 0
3 years ago
Help PLEASE!!! Math Final. ASAP!!!!!!!!!!!!
Ostrovityanka [42]
The volume for the cube is 245 inches, I’m not sure about the other one though.
7 0
3 years ago
Arthur is conducting a study on the preferred study options of students from East County College. He randomly selected 32 studen
ELEN [110]

Answer:

D. As the sample size is appropriately large, the margin of error is ±0.15

Step-by-step explanation:

The number of students in the sample, n = 32 students

The percentage of the students that preferred studying abroad, \hat p = 25%

The confidence level for the study = 95%

As a general rule, a sample size of 30 and above are taken as sufficient

The z-value at 95% confidence level, z = 1.96

The margin of error of a proportion formula is given as follows;

M.O.E. =  z^*\times \sqrt{\dfrac{\hat{p} \cdot(1-\hat{p})}{n}}

Therefore, we get;

M.O.E = 1.96\times \sqrt{\dfrac{0.25\times(1-0.25)}{32}} \approx \pm0.15

Therefore, the correct option is that as the sample size is appropriately large, the margin of error is ±0.15.

7 0
3 years ago
Graph the function f(x) = -42-4+ 5 on the axes below. You must plot the
valentina_108 [34]

Answer:

- attached graph

- Horizontal Asymptote: y = 5

- twon whole number points are (4,4) and (5,1)

Step-by-step explanation:

- Exponential functions have a horizontal asymptote. The equation of the horizontal asymptote

y = -4^(x-4) + 5

  = -4^(4-4) + 5

  = -4^(0) + 5

  = -1 + 5

  = 4

y = -4^(x-4) + 5

  = -4^(5-4) + 5

  = -4^(1) + 5

  = -4 + 5

  = 1

7 0
2 years ago
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