SAT College

The population of a town increased by 20% between 1989 and 1995. If the
population increased again by 10% from 1995 till 2003, what is the percentage increase in the
population between 1989 and 2003?

Answers

Answer 1

Answer:

32 percent

Explanation:

Assume the town's population in 1989 is 100. In 1995 it will be 120. There's a 10% increase (12) from 1995 to 2003 so the population in 2003 is 132. The percentage increase from 1989 (100) to 2003 (132) is (132-100) / 100 = .32 or 32 percent.

Answer 2

The percentage increase in the population between 1989 and 2003 will be 32%.

What is the percentage?

The quantity of anything is stated as though it were a fraction of a hundred.

The population of a town increased by 20% between 1989 and 1995. If the population increased again by 10% from 1995 till 2003.

Then the percentage increase in the population between 1989 and 2003 will be

Let x be the population in 1989.

Then the population in 1995 will be

⇒ 1.2 x

Then the population in 2003 will be

⇒ 1.2 × 1.1 × x

⇒ 1.32x

Then the percentage will be

P = (1.32x - x) / x × 100

P = 0.32 × 100

P = 32%

More about the percentage link is given below.

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Related Questions

The data below represent commute times​ (in minutes) and scores on a​ well-being survey. Complete parts​ (a) through​ (d) below. Commute Time​ (minutes), x 5 20 30 35 60 84 105 ​Well-Being Index​ Score, y 69.3 68.1 67.3 67.2 66.0 65.6 64.0 a) Find the​ least-squares regression line treating the commute​ time, x, as the explanatory variable and the index​ score, y, as the response variable.

Answers

The​ least-squares regression line equation treating the commute​ time is y = -0.047x + 69.1

How to find the​ least-squares regression line treating the commute​ time?

From the question we have to treat, x, as the explanatory variable and the index​ score, y, as the response variable

So, we have the table of values to be:

x 5 20 30 35 60 84 105

y 69.3 68.1 67.3 67.2 66.0 65.6 64.0

Next, we enter the above values in a graphing calculator.

From the graphing calculator, we have the following calculation summary:

Sum of X = 339Sum of Y = 467.5Mean X = 48.4286Mean Y = 66.7857Sum of squares (SSX) = 7813.7143Sum of products (SP) = -370.4571

The regression equation is represented as

y = bx + a

Where

b = SP/SSX = -370.46/7813.71 = -0.04741

a = MY - bMX = 66.79 - (-0.05*48.43) = 69.08177

So, we have

y = -0.04741x + 69.08177

Approximate

y = -0.047x + 69.1

Hence, the​ least-squares regression line equation treating the commute​ time is y = -0.047x + 69.1

Read more about least-squares regression at

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Which coupon would you use on this chair: $20 off or 20% off. Why? Be as convincing as you can. *

Answers

Answer:20% off

Explanation:it comes out cheaper in the end

Determine whether the data set is a population or a sample. Explain your reasoning.
The soil contamination levels at 10 locations near a landfill.
Choose the correct answer below.

Answers

Hi, in order to answer the question I need a picture

1) Which of these is a social goal of any economic system?
A) Economic Security
B) Production Standards
Economic Homogeneity
D) State-provided Employment

Answers

Answer:

b

Explanation:

Production standard is a criterion or yardstick or benchmark. It is used for measuring the production of the company. Production standards are fixed for raw materials, production process, tools and equipment, workers, conditions of work, speed of work, quantity of output, quality of output, etc

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