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3 years ago

What is the least common denominator (LCD) for these fractions?

Mathematics

1 answer:

inn [45]3 years ago

8 0

The least common denominator (LCD) for 1/12 and 3/4 is b. 12

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What is the slope of (-3,-6) and (4,7)

Gelneren [198K]

Answer:

13/7

Step-by-step explanation:

m=(y2-y1)/(x2-x1)

m=(7-(-6))/(4-(-3))

m=(7+6)/(4+3)

m=13/7

3 0

3 years ago

Evaluate. 4-6 | 3-5 | /3

riadik2000 [5.3K]

Answer:

Step-by-step explanation:

4-6 is -2 and |3-5| is -2 but the |-2| makes it 2 so -2+2=0 so 0/3=0

8 0

3 years ago

You randomly survey men and women about whether they plan to watch a football game on Sunday afternoon. A total of 40 men plan t

Alecsey [184]

Answer: 101

Step-by-step explanation:

45 women total

17 women will not watch the game

So 33 people did not want to watch the game and 17 are women

33-17 = 16 men who won’t watch the game

So 40 men who will and 16 men who won’t equals 56 men and 45 women

56+45= 101

5 0

2 years ago

Kin made a Picture frame for a square picture with sides that are 5f-4 inches long. Framing the picture adds 2 inches to the len

elena-s [515]

The perimeter of a shape is the sum of its side lengths

The expressions for the perimeter of the frame are 4(l + 2) and 4l + 8

<h3>How to determine the perimeter of the shape</h3>

The side length of the frame is given as l

So, the perimeter of the frame is

: $P = 4l$

When 2 inches are added to each length, the perimeter of the frame becomes

$P =4(l + 2)$

Expand

$P =4l + 8$

Hence, the expressions for the perimeter of the frame are 4(l + 2) and 4l + 8

Read more about perimeter at:

brainly.com/question/24571594

3 0

2 years ago

20. What do you think would happen to the variability (standard deviation) of the distribution of sample proportions if the samp

Naya [18.7K]

Answer:

Step-by-step explanation:

Sample proportion p is the proportion of favourable numbers to total number in the sample

By central limit theorem and also approximation of binomial to normal , we have sample proportion for large number of samples will be normal

with mean = sample proportion

and std deviation = $\sqrt{\frac{pq}{n} }$

Thus we find standard deviation of proportion sample is inversely proportional to the square of the sample size n.

It follows automatically that as sample size increases std deviation decreases.

Here from 80 sample size was made to 200

So std deviation would decrease automatically

4 0

2 years ago