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allsm [11]
3 years ago
8

What is the nth term of the geometric sequence 4,8,16,32

Mathematics
2 answers:
Rom4ik [11]3 years ago
8 0
Hope this helps with your confusion

sdas [7]3 years ago
5 0

Answer: 64

Step-by-step explanation: 32x2, the pattern is it doubles

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If a = -2, b= -5, and c = -6, then a - b + c=?
Anettt [7]

Answer:

<u>a - b + c</u><u> </u><u>=</u><u> </u><u>-</u><u> </u><u>3</u>

<u>Explain</u>

a = - 2

b = - 5

c = - 6

Now,

a - b + c = - 2 - (-5) + (-6)

= - 2 + 5 - 6

= - 8 + 5

= - 3

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3 years ago
Complete to get an equal ratio<br> 5a/8ab = ?/ 24a^2 b
Likurg_2 [28]

9514 1404 393

Answer:

  ? = 15a^2

Step-by-step explanation:

We assume you want

  (5a)/(8ab) = (?)/(24a^2·b)

Multiplying by 24a^2·b, we get ...

  (5a)/(8ab)·(24a^2·b) = ? = 15a^2

6 0
2 years ago
LeRoy, a starting player for a major college basketball team, made only 40% of his free throws last season. During the summer, h
aleksandr82 [10.1K]

Answer:

z=\frac{0.625 -0.4}{\sqrt{\frac{0.4(1-0.4)}{40}}}=2.905  

p_v =P(z>2.905)=0.0018  

So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of free throws made is higher than 0.4

Step-by-step explanation:

Data given and notation

n=40 represent the random sample taken

X=25 represent the number of free throws made

\hat p=\frac{25}{40}=0.625 estimated proportion of free throws made

p_o=0.4 is the value that we want to test

\alpha=0.01 represent the significance level

Confidence=99% or 0.99

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion is higher than 0.4:  

Null hypothesis:p\leq 0.4  

Alternative hypothesis:p > 0.4  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.625 -0.4}{\sqrt{\frac{0.4(1-0.4)}{40}}}=2.905  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.01. The next step would be calculate the p value for this test.  

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

p_v =P(z>2.905)=0.0018  

So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of free throws made is higher than 0.4

8 0
3 years ago
When Maria was born, her parents set up a savings account for her with $1000. The account pays 5% annual interest and it is comp
lawyer [7]

Answer:

she will have 3,600 dollars when she is 18

Step-by-step explanation:

5 0
2 years ago
Given the parallelogram find the measure of
denis-greek [22]

Answer:

120 2nd one??

Step-by-step explanation:

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3 years ago
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