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Tanzania [10]
3 years ago
9

100 points five stars a thank you, dont need to awnser first. i will repeat this question every 3 and a half minutes. ive got ni

ne hundred points to burn
Mathematics
2 answers:
Arisa [49]3 years ago
4 0

Answer:

ill right what is the question?

Step-by-step explanation:

Black_prince [1.1K]3 years ago
4 0

Answer:

thx

Step-by-step explanation:

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Percentages:
klasskru [66]

Answer:

about a hundred thousand eggs to get awfuly legendary egg

Step-by-step explanation:


4 0
3 years ago
What is a vector in linear algebra ?
Evgesh-ka [11]

Answer:

The definition of a vector that you learn in linear algebra tells you everything you need to know about what a vector is in any setting. A vector is simply an element of a vector space, period. ... So, to say that a vector is a column of numbers, or a geometric object with magnitude and direction, is incorrect

Step-by-step explanation:

i hope this helps at all

8 0
3 years ago
Read 2 more answers
A full load for a small truck to haul is 2/3 ton of gravel. The truck is hauling 1/2 ton of gravel. Write a division sentence th
Romashka [77]

Answer:

The truck is hauling 3/4 of a full load

Step-by-step explanation:

we know that

2/3 ton of gravel represent the 100% of a full load

Find out how much of a full load the truck is hauling with 1/2 ton of gravel, using proportion

Let

x ----> the percentage of a full load

\frac{(2/3)}{100\%}=\frac{(1/2)}{x}\\\\x=100\%(1/2)/(2/3)\\\\x=100\%(3/4)\\\\x=75\%

Convert to fraction number

75\%=\frac{75}{100}=\frac{3}{4}

therefore

The truck is hauling 3/4 of a full load

6 0
4 years ago
The Product of a number m and 23​
damaskus [11]

Answer:

23m

Step-by-step explanation:

The product of a number m and the numeral 23 is 23m.

6 0
3 years ago
Are most student government leaders extroverts? According to Myers-Briggs estimates, about 82% of college student government lea
nataly862011 [7]

Answer:

z=-1.12  

p_v =2*P(z  

So with the p value obtained and using the significance level given \alpha=0.01 we have p_v>\alpha so we can conclude that we don't have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the population proportion of extroverts among college student government leaders is not different from 0.82.  

Step-by-step explanation:

1) Data given and notation

n=74 represent the random sample taken

X=57 represent the number of people found extroverts

\hat p=\frac{57}{74}=0.770 estimated proportion of people found  extroverts.

p_o=0.82 is the value that we want to test

\alpha=0.01 represent the significance level

Confidence=99% or 0.959

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 if population proportion of extroverts among college student government leaders is different (either way) from 82%, the system of hypothesis would be on this case:  

Null hypothesis:p= 0.82  

Alternative hypothesis:p \neq 0.82  

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{0.770 -0.82}{\sqrt{\frac{0.82(1-0.82)}{74}}}=-1.12  

4) 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 bilateral test the p value would be:  

p_v =2*P(z  

So with the p value obtained and using the significance level given \alpha=0.01 we have p_v>\alpha so we can conclude that we don't have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the population proportion of extroverts among college student government leaders is not different from 0.82.  

4 0
3 years ago
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