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BigorU [14]
4 years ago
14

The population of a heard of cattle numbered was 5000 to begin with and was 10,000 after 10 years. If the population was growing

exponentially, what was the growth rate? show all work
A) r=2
B) r=20
C)r=0.69
D)r=6.9
Mathematics
1 answer:
Lapatulllka [165]4 years ago
3 0

Answer:

r=0.0718. The closest value from your given choices is C)r=0.69

Step-by-step explanation:

To solve this we are using the standard exponential growth equation:

f(t)=A(1+r)^t

where

f(t) is the final population after t years

A is the initial population

r is the growth rate in decimal form

t is the time in years

We know from our problem that the initial population is 5000, the final population is 10000, and the time is 10 years, so A=5000, f(t)=10000, and t=10.

Let's replace the values and solve for r:

f(t)=A(1+r)^t

10000=5000(1+r)^{10}

Divide both sides by 5000

\frac{10000}{5000} =(1+r)^{10}

2=(1+r)^{10}

Take root of 10 to both sides

\sqrt[10]{2} =\sqrt[10]{(1+r)^{10}}

\sqrt[10]{2} =1+r

Subtract 1 from both sides

\sqrt[10]{2}-1=r

r=\sqrt[10]{2}-1

r=1.0718-1

r=0.0718

We can conclude that the growth rate of our exponential equation is r=0.0718. The closest value from your given choices is C)r=0.69

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What is the most logical first step in solving the equation x2 + 6x +9 = 10?
Shalnov [3]

Answer:

<u>D</u>

Step-by-step explanation:

The logical step is to <u>factorize the left side of the equation</u>, which becomes:

  • (x + 3)² = 10

Then, you can take the square root on both sides.

  • x + 3 = ±√10
  • x = ±√10 - 3

Not asked, but good to understand the procedure regardless.

8 0
2 years ago
You select a marble without looking and then put it back. If you do this 6 times, what is the best prediction possible for the n
mojhsa [17]

Answer:

the possible prediction of getting a purple or blue is 2 out of 6

Step-by-step explanation:

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4 0
3 years ago
Donatello Co. has identified an activity cost pool to which it has allocated estimated overhead of $9,600,000. It has determined
ahrayia [7]

Answer:

option (a) Widgets $2,400,000, Gadgets $1,800,000, Targets $5,400,000

Step-by-step explanation:

Data provided in the question:

Allocated estimated overhead = $9,600,000

Expected use of cost drivers for the activity = 800,000 inspections.

Inspections required by Widgets = 200,000

Inspections required by Gadgets = 150,000

Inspections required by Targets = 450,000

Therefore,

Total overhead per activity = \frac{\textup{estimated overhead}}{\textup{Total activity}}

= \frac{\textup{9,600,000}}{\textup{800,000 }}

= $12 per activity

Thus,

Overhead allocated to Widgets = 200,000 × 12 = $2,400,000

Overhead allocated to Gadgets = 150,000 × 12 = $1,800,000

Overhead allocated to Target = 450,000 × 12 = $5,400,000

Hence, The correct answer is option (a)

8 0
3 years ago
7. 4 = 8X + 5Y _____________________________
Strike441 [17]

As the equation does not consists like terms we can only get x , y equations.

Step-by-step explanation:

Firstly, they are not like terms.

If the value to be is found is X then,

8x+5y=4

Now subtract 5y on both sides

8x+5y-5y=4-5y

here both positive 5y and negative 5y get cancelled

Now divide by 8

x=(4-5y)/8

If we need y value then,

subtracting both sides by 8x

5y=4-8x

Now dividing with 5 on both sides

y=(4-8x)/5  =>y=4/5 -8x/5

According to Y=mx+c

slope = m = 4/5

y-intercept = -8x/5.

8 0
3 years ago
A researcher believes that the mean weight of competitive runners is about 140 pounds. A sample of 24 elite distance runners has
ExtremeBDS [4]

Answer:

t=\frac{136-140}{\frac{11}{\sqrt{24}}}=-1.781    

p_v =P(t_{(23)}  

If we compare the p value and the significance level assumed \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the mean is less than 140 pounds at 5% of signficance.  

Step-by-step explanation:

Data given and notation  

\bar X=136 represent the sample mean

s=11 represent the sample standard deviation

n=24 sample size  

\mu_o =140 represent the value that we want to test

\alpha=0.01 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean is less than 140, the system of hypothesis would be:  

Null hypothesis:\mu \geq 140  

Alternative hypothesis:\mu < 140  

If we analyze the size for the sample is < 30 and we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{136-140}{\frac{11}{\sqrt{24}}}=-1.781    

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=24-1=23  

Since is a one left tailed test the p value would be:  

p_v =P(t_{(23)}  

Conclusion  

If we compare the p value and the significance level assumed \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the mean is less than 140 pounds at 5% of signficance.  

4 0
3 years ago
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