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3 years ago

The width of a rectangle is 1 less than twice its length. If the area of the rectangle is 176

Mathematics

1 answer:

Vitek1552 [10]3 years ago

5 0

Answer:

gguhhhhhhhyhdbtegurhyrhuyeghyt

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A graph of f(x) = 10x2 – 11x – 6 is shown on the coordinate grid. What are the zeros of f(x)?

Assoli18 [71]

Answer:

-2/5 and 3/2

this is the answer for your question i probably send it to late for your answer but i hope it helps

3 0

3 years ago

HELP ME PLEASE

s344n2d4d5 [400]

Answer:

$1800

Step-by-step explanation:

Interest in one month =3% =0.03

0.03x5000= $150 a month

150x12=$1800

4 0

3 years ago

Enter the value of

nikklg [1K]

Answer:

$a=1\\b=-1\\c=-1$

Step-by-step explanation:

<em>Standard form:</em>

$ax^2+bx+c=0$

Identify the values in:

$x^2-x-1=0$

$a=1\\b=-1\\c=-1$

5 0

3 years ago

Use z scores to compare the given values.

Effectus [21]

Answer:

The answer is given below

Step-by-step explanation:

Z score is used to measure by how many standard deviations the raw score is above or below the mean. It is given by the formula:

$z=\frac{x-\mu}{\sigma}\\ \\Where\ \mu=mean, x=raw\ score, \sigma=standard\ deviation$

For the male:

μ = 3259.8 g, σ = 869.7 g

Hence for a male who weighs 1600 g, the z score is:

$z=\frac{x-\mu}{\sigma} =\frac{1600-3259.8}{869.7}=-1.91$

For the female:

μ = 3000.9 g, σ = 550.8 g

Hence for a female who weighs 1600 g, the z score is:

$z=\frac{x-\mu}{\sigma} =\frac{1600-3000.9}{550.8}=-2.54$

Since the z score for the male is z= -1.91 and the z score for the female is z= -2.54 the male has the weight that is more extreme.

6 0

2 years ago

An automobile insurance company divides customers into three categories: good risks, medium risks, and poor risks. Assume that o

Leokris [45]

Answer:

0.60

Step-by-step explanation:

Probability that the customer is not a poor risk = 1 - probability that the customer is a poor risk

Firstly, let’s calculate the probability of being a poor risk.

From the given data the number of poor risks = 14229-7362-1190 = 5677

So the probability of being a poor risk = 5677/14229 = 0.399

Thus, the probability that the customer is not a poor risk = 1-0.399 = 0.601 which to 2 decimal places = 0.60

6 0

3 years ago