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qaws [65]
3 years ago
10

3 and 11 Find the midpoint

Mathematics
1 answer:
tiny-mole [99]3 years ago
8 0

Answer:

7

Step-by-step explanation:

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I may be wrong

Step-by-step explanation:

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4 0
3 years ago
What is the average?<br> 2 3 6 5
Allushta [10]

Answer:

4

Step-by-step explanation:

2+3+6+5 is 16 and since there are 4 numbers 16/4 is 4

3 0
3 years ago
Read 2 more answers
The volume of a cylinder is 8T cubic centimeters. The
BlackZzzverrR [31]
I’ve assumed that T= pi

5 0
3 years ago
A well-known brokerage firm executive claimed that at least 41 % of investors are currently confident of meeting their investmen
atroni [7]

Answer:

z=\frac{0.398 -0.41}{\sqrt{\frac{0.41(1-0.41)}{88}}}=-0.229

Step-by-step explanation:

1) Data given and notation n  

n=88 represent the random sample taken

X=35 represent the adults that said they are confident of meeting their goals

\hat p=\frac{35}{88}=0.398 estimated proportion of adults that said they are confident of meeting their goals

p_o=0.41 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that that at least 41 % of investors are currently confident of meeting their investment goals.:

Null hypothesis:p=0.41  

Alternative hypothesis:p < 0.41  

When we conduct a proportion test we need to use the z statisitc, 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.

3) Calculate the statistic  

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

z=\frac{0.398 -0.41}{\sqrt{\frac{0.41(1-0.41)}{88}}}=-0.229

4) Statistical decision  

It's important to refresh the p value method or p value approach . "This methos 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 is not provided, but we can assume \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a unilateral test the p value would be:  

p_v =P(z  

Using the p value obtained and the significance level assumed \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of of investors that are currently confident of meeting their investment goals is not significantly lower than 0.41 or 41%.  

4 0
3 years ago
A bag contains green tokens and black tokens. There are 8 green tokens in the bag. The ratio of green tokens to black tokens is
melomori [17]

Answer: 2 tokens.

Step-by-step explanation:

From the question, we are informed that a bag contains green tokens and black tokens and that there are 8 green tokens in the bag.

We are further told that the ratio of green tokens to black tokens is 4 for every 1.

Since the green tokens is 4× the black tokens, therefore the number of black tokens in the bag will be:

= 8/4

= 2 tokens

3 0
3 years ago
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