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enyata [817]
3 years ago
11

11.) Evaluate the integral

Mathematics
2 answers:
xxMikexx [17]3 years ago
7 0
Hey there !

Check the attachment.
Hope it helps you :)

bezimeni [28]3 years ago
3 0

You can start with the indefinite integral

... ∫e^(ax)·dx = (1/a)e^(ax) +c


Then your definite integral is

\int\limits_{-3}^{10}{e^{-0.025x}}\,dx=\dfrac{-1}{.025}\left(e^{-0.025\cdot 10}-e^{-0.025\cdot(-3)}\right)\\\\=40\left(e^{.075}-e^{-0.25}\right)\\\\ \approx11.9633

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In Hamilton County, Ohio the mean number of days needed to sell a home is days (Cincinnati Multiple Listing Service, April, 2012
Diano4ka-milaya [45]

Answer:

t=\frac{80-86}{\frac{20}{\sqrt{40}}}=-1.8974    

p_v =2*P(t_{39}

If we compare the p value with a significance level given \alpha=0.05 we see that p_v>\alpha so we can conclude that we FAIL to reject the null hypothesis, so there is not enough evidence to conclude that the mean for the data is significantly different from 86 days.    

Step-by-step explanation:

Assuming the following problem: "In Hamilton County, Ohio the mean number of days needed to sell a home is 86 days (Cincinnati Multiple Listing Service, April, 2012). Data for the sale 40 of homes in a nearby county showed a sample mean of 80 days with a sample standard deviation of 20 days. Conduct a hypotheses test to determine whether the mean number of days until a home is sold is different than the Hamilton county mean of 86 days in the nearby county. "

1) Data given and notation    

\bar X=80 represent the sample mean

s=20 represent the sample standard deviation

n=40 sample size    

\mu_o =86 represent the value that we want to test  

\alpha=0.05 represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)    

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

2) State the null and alternative hypotheses.    

We need to conduct a hypothesis in order to determine if the mean is different from 86, the system of hypothesis would be:    

Null hypothesis:\mu = 86    

Alternative hypothesis:\mu \neq 86    

We don't know the population deviation, so for this case we can use the 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".

3) Calculate the statistic    

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

t=\frac{80-86}{\frac{20}{\sqrt{40}}}=-1.8974    

4) Calculate the P-value    

First we need to find the degrees of freedom given by:

df=n-1=40-1=39

Since is a two tailed test the p value would be:    

p_v =2*P(t_{39}

In Excel we can use the following formula to find the p value "=2*T.DIST(-1.8974,39,TRUE)"  

5) Conclusion    

If we compare the p value with a significance level given \alpha=0.05 we see that p_v>\alpha so we can conclude that we FAIL to reject the null hypothesis, so there is not enough evidence to conclude that the mean for the data is significantly different from 86 days.    

7 0
3 years ago
HELPPPP MEEE PLEEASSEEEE !!!
Zarrin [17]

Answer:

67°

Step-by-step explanation:

Angle 67° and that at H are corresponding this are equal.

Therefore 67+46=113°

180-113=67 as the answer

6 0
3 years ago
Can you please help me on this it says fully simplify using only positive exponents 5x8y7/25x4y
dangina [55]

Answer:

1/5x^12 * y^8.

Step-by-step explanation:

((5x^8*y^7/25)x^4)(y)

=1/5x^12 * y^8.

4 0
3 years ago
Under the last-in, first-out (LIFO) inventory valuation method, a price index for inventory must be established for tax purposes
frosja888 [35]

Answer:

The laspeyres method of weighted aggregate price index is used of LIFO inventory valuation, therefore laspeyres index number is 106.08

Step-by-step explanation:

First of all we would have to perform the following table:

                                             

Product   Ending Inventory(Q0)  Begining(P0)   Ending(P1)   P0×Q0   P1×Q0  

    A                    500                         0.15               0.21                75        105

    B                       50                         1.60               1.80                 80         90

    C                       100                        4.50             4.20                 450      420

    D                       40                          12.00          13.40                 480     536

                                                                                             Total  1085     1151

Therefore, using laspeyres index number, we calculate the following:

laspeyres index number=(∑P1×Q0/∑P0×Q0)×100

laspeyres index number=(1151/1085)×100

laspeyres index number=106.08

8 0
3 years ago
Easy easy point answer the question
Gala2k [10]

Answer:

2 7/8

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
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