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Alecsey [184]
4 years ago
15

For the following exercise, consider this scenario: A town's population has been increasing at a constant rate. In 2010 the popu

lation was 45000 . By 2012 the population had increased to 51250 . Assume this trend continues linearly. Predict the population in 2016.
Mathematics
1 answer:
bazaltina [42]4 years ago
7 0

Answer:

63,750

Step-by-step explanation:

#Calculate the rate of change per year:

\bigtriangleup=\frac{2012 \ pop- 2010\ pop}{2012-2010}\\\\=\frac{51250-4500}{2}\\\\=3125

The population increasing by a constant of 3125 per year.

-Let x be the time in years

-The general form of a linear equation is

y=mx+c, c=45000\\\\\therefore y=mx\\\\y(x)=3125x+45000

The population in 2016 is therefore predicted as:

y=mx+c\\\\y(2016-2010)=3125x+45000\\\\y(6)=3125\times 6+45000\\\\=63750

Hence, the population in 2016 is 63,750

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3 years ago
The owner of a large car dealership believes that the financial crisis decreased the number of customers visiting her dealership
Shkiper50 [21]

Answer:

z=\frac{750-800}{\frac{350}{\sqrt{100}}}=-1.429    

Step-by-step explanation:

Data given and notation  

\bar X=750 represent the sample mean

\sigma=350 represent the population standard deviation for the sample  

n=100 sample size  

\mu_o =800 represent the value that we want to test

\alpha 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 lower than 800, the system of hypothesis would be:  

Null hypothesis:\mu \geq 800  

Alternative hypothesis:\mu < 800  

If we analyze the size for the sample is > 30 and we know the population deviation so is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}}  (1)  

z-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:  

z=\frac{750-800}{\frac{350}{\sqrt{100}}}=-1.429    

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