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Amanda [17]
1 year ago
14

85×250=_______ + 387= _______

Mathematics
2 answers:
Neko [114]1 year ago
7 0

Answer:

21,637

Step-by-step explanation:

You can just use a caculator- Or simple multiplication by putting it on top of eachother.

You can do this many ways,just multiply with pen and paper,put 250 on top,and 85 on bottom which is 21,250,the add from there!

Hope I helped!!

Pani-rosa [81]1 year ago
3 0

Answer:

85 \times 250 = 21250 + 387 = 21637

Step-by-step explanation:

First, start by solving 85 \times 250, there are many ways to get the answer, but using a calculator yields: 21250.

From here, add 387, and get:

21250 + 387 = 21637

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What is your favorite color? A larger survey of countries, including the United States, China, Russia, France, Turkey, Kenya, an
prohojiy [21]

Answer:

z=\frac{0.253 -0.24}{\sqrt{\frac{0.24(1-0.24)}{75}}}=0.264  

p_v =2*P(z>0.264)=0.792  

So the p value obtained was a very high value and using the significance level given \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 students said that blue is their favorite color is not different from 0.24

Step-by-step explanation:

Data given and notation

n=75 represent the random sample taken

X=19 represent the students said that blue is their favorite color

\hat p=\frac{19}{75}=0.253 estimated proportion of  students said that blue is their favorite color

p_o=0.24 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

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 different from 0.24.:  

Null hypothesis:p=0.24  

Alternative hypothesis:p \neq 0.24  

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.

Calculate the statistic  

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

z=\frac{0.253 -0.24}{\sqrt{\frac{0.24(1-0.24)}{75}}}=0.264  

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=0.05. 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>0.264)=0.792  

So the p value obtained was a very high value and using the significance level given \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 students said that blue is their favorite color is not different from 0.24

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Answer:

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Given that a convenience store owner claims that 55% of the people buying from her store, on a certain day of the week, buy coffee during their visit

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