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monitta
3 years ago
10

The population of a city in 2005 was 18,000. By 2010 the city's population was 45,000. Economists have determined that the popul

ation growth follows an exponential model. If they are correct, what is the projected population for 2015?
Mathematics
1 answer:
miv72 [106K]3 years ago
5 0

Answer:

112,547.095  million

Step-by-step explanation:

Data provided in the question

Population of a city in 2005 = 18,000

In the year 2010, the city population = 45,000

Now to find out the projected population for 2015 we use the exponential model

 P = P(0)\times e^{rt}

where

P(0) = Initial population

r = growth rate

t = time

e = natural log

So,

45,000 = 18,000 \times e^{5r}

So

e^{5r} = \frac{45}{18}

5r = ln \frac{(45)}{(18)}

r ≈ 0.1833

Now

P = 18,000e^{10\times0.1833}

= 112,547.095  million

You might be interested in
Twenty students from Sherman High School were accepted at Wallaby University. Of
nydimaria [60]

Answer:

Data provide convincing evidence of a difference in SAT scores  between students with and without a military scholarship is explained below in details.

Step-by-step explanation:

This is a quiz of 2 autonomous groups. The population model differences are not understood. it is a two-tailed examination. Let w be the index for scores of students with army research and o be the index for scores of students without army research.

Therefore, the population means would be μw and μo.

The irregular variable is x w - xo = variation in the sample mean records of students with military accomplishments and students without.

For students with military accomplishments,

n = 8

Mean = (850 + 925 + 980 + 1080 + 1200 + 1220 + 1240 + 1300)/8

Mean = 1099.375

Standard deviation = √(summation(x - mean)/n

Summation(x - mean) = (850 - 1099.375)^2 + (925 - 1099.375)^2 + (980 - 1099.375)^2 + (1080 - 1099.375)^2 + (1200 - 1099.375)^2 + (1220 - 1099.375)^2 + (1240 - 1099.375)^2 + (1300 -1099.375)^2 = 191921.875

Standard deviation = √(191921.875/8 = 154.89

For students without military scholarship,

n = 12

Mean = (820 + 850 + 980 + 1010 + 1020 + 1080 + 1100 + 1120 + 1120 + 1200 + 1220 + 1330)/12

Mean = 1073.83

Summation(x - mean) = (820 - 1073.83)^2 + (850 - 1073.83)^2 + (980 - 1073.83)^2 + (1010 - 1073.83)^2 + (1020 - 1073.83)^2 + (1080 - 1073.83)^2 + (1100 - 1073.83)^2 + (1120 - 1073.83)^2 + (1120 - 1073.83)^2 + (1200 - 1073.83)^2 + (1220 - 1073.83)^2 + (1330 - 1073.83)^2 = 238199.4268

Standard deviation = √(238199.4268/12 = 140.89

We would set up the hypothesis.

The null hypothesis is

H0 : μw = μo H0 : μw - μo = 0

The alternative hypothesis is

Ha : μw ≠ μo Ha : μw - μo ≠ 0

Since sample standard deviation is recognized, we would analyis the examination statistic by using the t examination. The formula is

(xw - xo)/√(sw²/nw + so²/no)

From the information given,

xw = 1099.375

xo = 1073.83

sw = 154.89

so = 140.89

nw = 8

no = 12

t = (1099.375 - 1073.83)/√(154.89²/8 + 140.89²/12)

t = 0.37

The formula for determining the degree of freedom is

df = [sw²/nw + so²/no]²/(1/nw - 1)(sw²/nw)² + (1/no - 1)(so²/no)²

df = [154.89²/8 + 140.89²/12]²/(1/8 - 1)(154.89²/8)² + (1/12 - 1)(140.89²/12)² = 21650688.37/1533492.15

df = 14

We would get the probability count from the t test calculator. It becomes

p value = 0.72

Since the level of importance of 0.05 < the p value of 0.72, we would not neglect the null hypothesis.

Therefore, these data do not present an acceptable indication of a difference in SAT scores between students with and without a military scholarship.

Part B

The formula for getting the confidence interval for the difference of two population means is expressed as

z = (xw - xo) ± z ×√(sw²/nw + so²/no)

For a 95% confidence interval, the z score is 1.96

xw - xo = 1099.375 - 1073.83 = 25.55

z√(sw²/nw + so²/no) = 1.96 × √(154.89²/8 + 140.89²/12) = 1.96 × √2998.86 + 1654.17)

= 133.7

The confidence interval is

25.55 ± 133.7

6 0
3 years ago
On a coordinate plane, 2 triangles are shown. The first triangle has points M (negative 5, 4), N (negative 3, 2), and L (negativ
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Answer:

A.

Step-by-step explanation:

4 0
3 years ago
Whats a constant and a variable and a coeffecient ?
OLga [1]
A constant is a number, or a letter that represents a number that
never changes.  From the time the problem starts until as long
as it lasts, its value is constant.

A variable is a letter that stands for a number that can change.

A coefficient is each of the items in a group of them that are all
multiplied together.

Example:  17x + 4y

That's an expression with two terms.
The terms are  '17x'  and  '4yz'.

In the first term:
'17' is the numerical coefficient.
'x' is the literal coefficient.

In the second term:
'4' is the numerical coefficient.
'y' and 'z' are both literal coefficients.
6 0
3 years ago
PLS HELP WILL GIVE BRAINLY!!
LenaWriter [7]

Answer:

24.68 gram

Step-by-step explanation:

Given that :

Volume = 182.8 ml

Density of liquid = 0.135 gram/ml

Recall :

Density = mass (g/ml) / volume (ml)

Substitute the value into the equation :

0.135 = mass / 182.8

Mass = 0.135 * 182.8

Mass = 24.678 gram

Hence, weight = 24.678 grams

8 0
2 years ago
Suppose the round-trip airfare between Boston and Orlando follows the normal probability distribution with a mean of $387.20 and
Lady bird [3.3K]

Answer: P < 300 = 0.102

Step-by-step explanation:

Suppose the round-trip airfare between Boston and Orlando follows the normal probability distribution, we would apply the formula for normal distribution which is expressed as

z = (x - µ)/σ

Where

x = the round-trip airfare between Boston and Orlando.

µ = mean

σ = standard deviation

From the information given,

µ = $387.20

σ = $68.50

The probability that a randomly selected airfare between Boston and San Francisco will be less than $300 is expressed as

P < 300

For x = 300,

z = (300 - 387.20)/68.5 = - 1.27

Looking at the normal distribution table, the probability corresponding to the z score is 0.102

7 0
3 years ago
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