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alisha [4.7K]
3 years ago
15

I need it within tomorrow please

Mathematics
1 answer:
Alenkinab [10]3 years ago
6 0

Any even number raised to any power will remain even. (e.g. 2² = 4, 2³ = 8, etc)

Any odd number raised to any power will remain odd. (e.g. 1² = 1³ = ... = 1, 3⁴ = 81, etc)

So (n+1)^{2^k}-n^{2^k} will always be even, since both

[even] - [odd] = [odd]

and

[odd] - [even] = [odd]

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Which equation is correct? (6 points)
Arturiano [62]
Answer: Choice D

=====================================

Explanation:

Abbreviations:
sec = secant
cot = cotangent
cosec = cosecant (csc is also a widely used abbreviation)

Let's go through the answer choices one by one

Choice A is false because secant involves the hypotenuse

Choice B is false because opposite/adjacent is the ratio for tangent

Choice C is false because cosecant (csc) involves the hypotenuse

Choice D is true. This is the proper ratio for secant. It is the reciprocal of the ratio for cosine. Recall that cosine's ratio is adjacent/hypotenuse. 

7 0
4 years ago
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What is the unit rate if 3.5 hours = $10
Natali5045456 [20]
The answer is 2.86 because you would divide 10 by 3.5
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4 years ago
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The confidence interval for the water consumption of a certain plant is 5 gallons to 13 gallons per year. The level of confidenc
GarryVolchara [31]

Answer:

Average consumption ( mean )  =  9

MOE = 4

Step-by-step explanation:

We know that

CI   ( 5  ;  13 )

and   CI [ μ - MOE  ;  μ + MOE ]

From the above relations we get

μ - MOE = 5

μ + MOE = 13

Adding member to member these two equations we get

2*μ  =  18

μ = 9    and MOE = 13 - 9

MOE = 4

8 0
3 years ago
What is the value of (3 + 2)2 - 5 * 3 +23?
tamaranim1 [39]

Answer:

15

Step-by-step explanation:

6 0
3 years ago
Select the correct answer. Which pair of statements correctly compares the two data sets? A. The difference of the means is 1. T
Readme [11.4K]

Answer:

For this case since the p value is higher than the significance level we can FAIL to reject the null hypothesis and we can conclude that the true means are NOT significantly different at 10% of significance.

Step-by-step explanation:

Information provided

represent the mean for sample 1  

represent the mean for sample 2  

represent the sample standard deviation for 1  

represent the sample standard deviation for 2  

sample size for the group 2  

sample size for the group 2  

Significance level provided

t would represent the statistic

Hypothesis to test

We want to verify if the true means for this case are significantly different, the system of hypothesis would be:  

Null hypothesis:  

Alternative hypothesis:  

The statistic is given by:

(1)  

And the degrees of freedom are given by    

Replacing the info given we got:

 

The degreess of freedom are given by:

Now we can calculate the p value with the following probability:

 

For this case since the p value is higher than the significance level we can FAIL to reject the null hypothesis and we can conclude that the true means are NOT significantly different at 10% of significance.

Step-by-step explanation:

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4 years ago
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