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Ratling [72]
3 years ago
14

In the sequence generated by the formula a, = n -4, which term has a value of 8?

Mathematics
1 answer:
ZanzabumX [31]3 years ago
5 0
Answer

Sksjkskskalalaalalskkskdkskskskskksksksksk

Explanation:
Hope that helps
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Help this question has time please its myfinal exam
Zarrin [17]

Answer:

(x,y) = (-0.5,0.5)

Step-by-step explanation:

Given

See attachment

Required

The solution

The solution is at the point where the two lines meet.

The lines meet at:

x = -0.5 and y = 0.5

So, the solution is:

(x,y) = (-0.5,0.5)

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2 years ago
Help me plzzzzzzz! I need this today!
makkiz [27]

Answer:

it looks like y int is about 2550

Step-by-step explanation:

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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
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What is bigger 29 ft or 880 cm
algol [13]

Answer:

880 Cm at least Im pretty sure

Step-by-step explanation:

7 0
3 years ago
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How to find Y=MX+b in the equation​
Lerok [7]

Answer:

You need a point or a slope to begin.

Step-by-step explanation: Once you have a point and the slope, then you can plug in to find the b value, then write your equation in y = mx + b form

5 0
3 years ago
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