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Pepsi [2]
3 years ago
7

Shop sells bagles for 5 per dozen how much bagles can you buy for 50

Mathematics
1 answer:
spayn [35]3 years ago
3 0
120 Bagels
Explanation:
if you get 12 bagels for 5 dollars, and your wondering how many you’d get for 50 dollars, 5 times 10 is 50 and 10 times 12 is 120. That doesn’t make the most sense but yes
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Use the five-step plan to solve the following problem. Joey has nickels and dimes in his pocket. The number of dimes is 3 times
HACTEHA [7]
Not sure what the 5 step plan is but


Joey has 11 nickels 
so from "<span>The number of dimes is 3 times the number of nickels."
we know joey has 33 dimes.
11 nickels is 55 cents. 33 dimes is 3 dollars and 30 cents
in total 3 dollars and 85 cents</span>
5 0
3 years ago
5 is what percentage of 10 question: now do I divide 5 divided by 10 equals 0.5 then do I multiply 0.5 by 100 or divide 0.5 by 1
lara31 [8.8K]

Answer:

50%

Step-by-step explanation:

5 question is what percentage of 10 question

Step 1: Divide 5 by 10

5/10 = 0.5

Step 2: multiply 0.5 by 100

0.5 × 100

= 50%

Therefore, percentage of 5 questions out of 10 questions is 50%

3 0
3 years ago
Identify the sequence as arithmetic geometric or neither -8, -3, 6, 11, -22
melomori [17]

Answer:

Neither

Step-by-step explanation:

Check if it's arithmetic:

-8, -3, 6, 11, -22

+5  +6   +5  -33

Nope

Check if geometric:

-8, -3, 6, 11, -22

*3/8  *-2 *11/6 *-2

Nope

So it's neither

5 0
3 years ago
What is the awnser to −35+7+(−15)
Wewaii [24]

Answer:

-43

Step-by-step explanation:

-35 + 7 + (-15)

-35 + 7 - 15

-50 + 7

<u>= -43</u>

4 0
2 years ago
Read 2 more answers
In a study of 420,095 Danish cell phone users, 135 subjects developed cancer of the brain or nervous system (based on data from
Maksim231197 [3]

Answer:

z=\frac{0.0003214 -0.00034}{\sqrt{\frac{0.00034(1-0.00034)}{420095}}}=-0.654  

p_v =2*P(Z  

So the p value obtained was a very high value and using the significance level given \alpha=0.005 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say that the true proportion not differs significantly from the specified value of 0.00034 or 0.034%.

Step-by-step explanation:

1) Data given and notation  

n=420095 represent the random sample taken

X=135 represent the subjects developed cancer of the brain or nervous system (based on data from the Journal of the National Cancer Institute as reported in USA Today)

\hat p=\frac{135}{420095}=0.0003214 estimated proportion of subjects developed cancer of the brain or nervous system (based on data from the Journal of the National Cancer Institute as reported in USA Today)

p_o=0.00034 is the value that we want to test

\alpha=0.005 represent the significance level

Confidence=99.5% or 0.995

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 the brain or nervous system at a rate that is different from the rate of 0.0340% :  

Null hypothesis:p=0.00034  

Alternative hypothesis:p \neq 0.00034  

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.

3) Calculate the statistic  

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

z=\frac{0.0003214 -0.00034}{\sqrt{\frac{0.00034(1-0.00034)}{420095}}}=-0.654  

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=0.005. 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 the p value obtained was a very high value and using the significance level given \alpha=0.005 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say that the true proportion not differs significantly from the specified value of 0.00034 or 0.034%.  

4 0
3 years ago
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