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OlgaM077 [116]
3 years ago
13

Which is bigger three quarters or eleven sixteenths

Mathematics
2 answers:
Vadim26 [7]3 years ago
4 0
3/4 is .75
and
11/16 is .6875
so
The first one is greater 
:)
Musya8 [376]3 years ago
4 0
\frac{3}{4}=\frac{3 \times 4}{4 \times 4}=\frac{12}{16} \\ \\
\frac{11}{16} \\ \\
12>11 \Rightarrow \frac{12}{16} > \frac{11}{16} \Rightarrow \frac{3}{4}> \frac{11}{16}

3/4 is bigger.
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Suppose that 5 J of work is needed to stretch a spring from its natural length of 30 cm to a length of 39 cm.
vesna_86 [32]

Answer

given,

work = 5 J

spring stretch form 30 cm to 39 cm

W = \dfrac{1}{2}kx^2

x = 0.39 - 0.30 = 0.09 m

5 = \dfrac{1}{2}k\times 0.09^2

k = \dfrac{5\times 2}{0.09^2}

k = 1234.568 N/m

a) work when spring is stretched from  32 cm to 34 cm

x₂= 0.34 -0.30 = 0.04 m

x₁ = 0.32 - 0.30 = 0.02

W = \dfrac{1}{2}k(x_2^2-x_1^2)^2

W = \dfrac{1}{2}\times 1234.568 \times (0.04^2-0.02^2)^2

W = 0.741 J

b) F = k x

  25 = 1234.568 × x

     x = 0.0205 m

     x = 2.05 cm

3 0
3 years ago
a bean plant was 1.5 m high one week ago. In 7 days it grew 15 cm . find the current height of the bean plant
natali 33 [55]

the answer is 16.5cm

just add 15 +1.5 and you get 16.5

8 0
3 years ago
Read 2 more answers
What is the value of the expression below when x equals 3?<br><br> 17 + 11x
Rom4ik [11]

Answer:

50

Step-by-step explanation:

7 0
3 years ago
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If outliers are discarded, then the retirement savings by residents of Econistan is normally distributed with a mean of $100,000
zavuch27 [327]

Answer:

P(X>117000)=P(\frac{X-\mu}{\sigma}>\frac{117000-\mu}{\sigma})=P(Z>\frac{117000-100000}{20000})=P(z>0.85)

And we can find this probability using the complement rule and the normal standard table or excel:

P(z>0.85)=1-P(z

The firgure attached illustrate the problem

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the retirement savings of a population, and for this case we know the distribution for X is given by:

X \sim N(100000,20000)  

Where \mu=100000 and \sigma=20000

We are interested on this probability

P(X>117000)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>117000)=P(\frac{X-\mu}{\sigma}>\frac{117000-\mu}{\sigma})=P(Z>\frac{117000-100000}{20000})=P(z>0.85)

And we can find this probability using the complement rule and the normal standard table or excel:

P(z>0.85)=1-P(z

The firgure attached illustrate the problem

7 0
3 years ago
The table shows the number of candies packed by Machine C. The equation shows the number of candies packed by Machine D. In both
Rashid [163]

Machine C makes 75 candies per minute.

Machine D makes 130 candies per minute.

Difference is 55


55 * 11 minutes = 605 candies.

4 0
3 years ago
Read 2 more answers
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