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djverab [1.8K]
2 years ago
15

A factory produces 1,250,000 toys each year. The number of toys is expected to increase by about 150% per year. Which model can

be used to find the number of toys being produced, n (in millions), in t years?
Mathematics
2 answers:
kozerog [31]2 years ago
6 0

Answer: Our required model is n=1250000(1.15)^t

Step-by-step explanation:

Since we have given that

Number of toys = 1,250,00

Every year is expected to increase by about 150% pr year.

So, initial value = 1250,000

Rate of change = 150%

Let the number of time = t years.

So, we will use "Compound interest":

n=P(1+\dfrac{r}{100})^t\\\\n=1250000(1+\dfrac{150}{100})^t\\\\n=1250000(1+1.50)^t\\\\n=1250000(1.15)^t

Hence, our required model is n=1250000(1.15)^t

Bad White [126]2 years ago
3 0

Answer:

n=1.25(2.5)^t

Step-by-step explanation:

According to the given statement a factory produces 1,250,000 toys each year

So in n(millions) the initial production = 1.25 million

The increasing rate = 150% = 150/100 = 1.5

Now according to the conditions we have a function:

n = n0(1+r)^t

where n0 is the initial production = 1.25

r = increasing rate =1.5

t = time

Now substitute the values in the function

n=1.25(1+1.5)^t

n=1.25(2.5)^t

Thus the model which can be used to find the number of toys being used is n=1.25(2.5)^t ....

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Answer: (27- 4/3 pi) r^3

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A liquid dietary product implies in its advertising that use of the product for one month results in an average weight loss of a
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Answer:

Following are the responses to the given question:

Step-by-step explanation:

Please find the table in the attached file.

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For point a:

hypotheses are:

H_0 : \mu_d \geq -3\\\\H_a : \mu_d < -3\\\\

degree of freedom:

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t=\frac{\bar{d}-\mu_d }{\frac{s_d}{\sqrt{d}}}=\frac{ -4.125- (-3)}{\frac{1.246}{ \sqrt{8}}} =-2.55

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For point b:

From t table, at \alpha =0.01, removing the null hypothesis if t.

because t=-2.553 >-2.908, fail to removing the null hypothesis.  

The data do not help the foodstuff producer's point with the likelihood of a .01-type mistake.

For point c:

Hypotheses are:

H_0: \mu_d \geq -5\\\\H_a: \mu_d < -5

Degree of freedom:

df=n-1=8-1=7

From t table, at \alpha =0.05, removing the null hypothesis if t.

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Since t-1.986 >-1.895, The null hypothesis fails to reject. The results do not support the packaged food producer's claim with a Type 1 error probability of 0,05.

From t table, at\alpha= 0.01, reject null hypothesis ift.

Since t=1.986>-2.998 , fail to reject null hypothesis.  

Data do not support the claim of the producer of the dietary product with the probability of Type 1 error of .01.

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