Which type of graph would allow us to Quickly see how many months between 100 and 200 student were treated

Mathematics

1 answer:

lisov135 [29]3 years ago

7 0

Answer:

Histogram

Step-by-step explanation:

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The coordinates of rectangle ABCD are A(1, 2), B(4, 5),C(9, 0) and D(6, -3). What is the area of the rectangle? 18 square units

Natali5045456 [20]

In order to find the area of a rectangle, the formula is L*W (Length multiplied by Width). Our goal is to find these two measurements, so we will take the following steps:
1) Plot the coordinates on a graph (I have attached a visual guide)
2) Using the Pythagorean Theorem, or the Distance formula we can find the length and width: $\sqrt{(x_{2}-x_{1} )^{2} +(y_{2}-y_{1} )^{2}$
3) We will use these values in the Area formula for a rectangle (L*W)
4) After solving the Area formula with the values retrieved from the Distance Formula we find that the area is roughly 30 units squared.

4 0

3 years ago

I don't understand how to solve this, please help!

murzikaleks [220]

Answer:

x+1 , x<-1

x²-bx-4 , -1≤x≤4

1/2 x +a

substitute x=-1 , continuous everywhere

x+1=x²-bx-4 when x=-1

-1+1=-1²-b-4

then for :

x²-bx-4=1/2 x +a for x=4

4²-4b-4=1/2x+a

16-4(3)-4=4/2+a

16-12-4-2=a

the equations will be :

x+1

x²-3x-4

1/2x-2

I hope this help

7 0

3 years ago

Evaluate the expression 3c – d for the given variable. d = -c + 7

s2008m [1.1K]

3c-d
3c-(-c+7)
3c+c-7
4c-7
Final answer: 4c-7

5 0

3 years ago

In the beginning of the study, a randomly selected group of 121 students scored an average of 252 words per minute on the readin

Alborosie

Answer:

Since the sample size is larger than 30, the cognitive psychologist can assume that the sampling distribution of M will be approximately normal.

Step-by-step explanation:

We use the central limit theorem to solve this question.

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a sample size larger than 30 can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$