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Mars2501 [29]
3 years ago
15

I need help on 4,5,6,7,8,9 asappppp

Mathematics
1 answer:
AlekseyPX3 years ago
8 0

Answer:

all equations are attached

nth terms are...

4- 8th term= 3294172

5- 12th term= −12582912

6- 5th term= 6

7- 6th term= −15552

8- 9th term= −59049

9- 5th term= .25

Step-by-step explanation:

I hope this helps!

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Bob has a recipe for salad dressing. The recipe says to mix 14 c lemon juice, 18 c mustard, and 14 c vinegar. How much lemon jui
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Answer:

He needs 56c  of lemon juice to make 4 salad dressings.

Step-by-step explanation:

We only need to look at how much lemon juice to make one salad dressing which would be 14c so we have to make 4 so we would do 14x4 to get how much lemon juice you need to make 4 dressings so you would need 56c of lemon juice to make 4 dressings

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10 to the 5th power plus 10 to the -1 power
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1000000+1/10. There are no rules for when you add the powers.
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PLEASE ANSWER ASAP!!! THANK YOU!!! ONLY 3 QUESTIONS!!
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For the each of them simply substitute for x in each equation to see if you get the corresponding y , it doesnt really get any more straightforward than this

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3 years ago
Most US adults have social ties with a large number of people, including friends, family, co-workers, and other acquaintances. I
xxTIMURxx [149]

Answer:

t=\frac{669-634}{\frac{732}{\sqrt{1700}}}=1.971    

p_v =2*P(t_{(1699)}>1.971)=0.049  

If we compare the p value and the significance level given \alpha=0.1 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 634 at 10% of signficance.

Step-by-step explanation:

Data given and notation  

\bar X=669 represent the sample mean

s=732 represent the sample standard deviation

n=1700 sample size  

\mu_o =68 represent the value that we want to test

\alpha=0. 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 different from 634, the system of hypothesis would be:  

Null hypothesis:\mu = 634  

Alternative hypothesis:\mu \neq 634  

If we analyze the size for the sample is > 30 but we don't know the population deviation so 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{669-634}{\frac{732}{\sqrt{1700}}}=1.971    

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=1700-1=1699  

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

p_v =2*P(t_{(1699)}>1.971)=0.049  

Conclusion  

If we compare the p value and the significance level given \alpha=0.1 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 634 at 10% of signficance.

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In Val's class, the ratio of students who ate enchiladas for lunch to the students who ate tacos was 14:20. Which of the followi
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An equivalent ratio would be 7:10 or 70:100 or 42:60 and so on...
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