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dezoksy [38]
3 years ago
11

A. -12 5 b. -12 - c. 12. (-4) d.-12. (-5)

Mathematics
1 answer:
Roman55 [17]3 years ago
4 0

Step-by-step explanation:

  1. -12=12i^2, 5
  2. -12-=12i^2*i^2
  3. 12(-4)=-48=48i^2
  4. -12(-5)=60
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176.25 is the answer
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Read 2 more answers
Please help with these 3 questions and show all work!
Bas_tet [7]
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8 0
3 years ago
There are 11 candidates for three postions at a restaraunt. One postion is for a cook. The second position is for a food server
LenaWriter [7]

Answer:

165 combinations possible

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₁₁C₃ = \frac{11!}{3!(11-3)!}

which simplifies to

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6 0
3 years ago
2y + 2x + 3y + 4z + 5x​
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Researchers have observed that rainforest areas next to clear-cuts (less than 100 meters away) have a reduced tree biomass compa
WINSTONCH [101]

Answer:

t=\frac{-0.506-0}{\frac{3.557}{\sqrt{36}}}=-0.854    

p_v =2*P(t_{(35)}    

If we compare the p value and the significance level assumed \alpha=0.05 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can conclude that we don't have a significant change at 5% of signficance.  

Step-by-step explanation:

Data given and notation    

-10.8, -4.9, -2.6, -1.6, -3, -6.2, -6.5, -9.2, -3.6, -1.8, -1, 0.2, 0.2, 0.1, -0.3, -1.4, -1.5, -0.8, 0.3, 0.6, 1, 1.2, 2.9, 3.5, 4.3, 4.7, 2.9, 2.8, 2.5, 1.7, 2.7, 1.2, 0.1, 1.3, 2.3, 0.5

We can calculate the mean and deviation with the following formulas:

\bar X = \frac{\sum_{i=1}^n X_i}{n}

s = \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2)}{n-1}}

And we obtain:

\bar X=-0.506 represent the sample mean    

s=3.557 represent the sample standard deviation    

n=36 sample size    

\mu_o =0 represent the value that we want to test    

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

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 there is a change in biomass of rainforest areas following clear-cutting, the system of hypothesis are :    

Null hypothesis:\mu = 0    

Alternative hypothesis:\mu \neq 0    

Since we don't know the population deviation, 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{-0.506-0}{\frac{3.557}{\sqrt{36}}}=-0.854    

P-value    

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

df=n-1=36-1=35  

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

p_v =2*P(t_{(35)}    

Conclusion    

If we compare the p value and the significance level assumed \alpha=0.05 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can conclude that we don't have a significant change at 5% of signficance.  

6 0
3 years ago
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