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Aliun [14]
2 years ago
8

Graded Assignment

Mathematics
1 answer:
jarptica [38.1K]2 years ago
7 0
Can you make it formatted better i cant understand anything
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Really struggling with these two <br> Question: The polygons are simular find the value of x
Svetradugi [14.3K]

Answer:

3: x = 22.5

4: x = 3.75

Step-by-step explanation:

5 0
3 years ago
I like rocks and rocks
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FRRRRRR?!?!?!?!?!?!?!?!?!

Step-by-step explanation:

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3 years ago
At the moment, a physical therapist has 9 9/12 rolls of medical tape on hand. He anticipates using up 6 6/12 rolls while working
mart [117]

Answer:

subtract 6.5 by 9.75

Step-by-step explanation:

9/12 =.75

6/12=.5

9.75-6.5=3.25

hope this helps

°_°

3 0
2 years ago
In April and May of 2011, the Pew Research Center surveyed cell phone users about voice calls and text messaging. They surveyed
sleet_krkn [62]

Answer:

D. We can be 95% confident that the proportion of all cell phone users who use text messaging is between 73.1% and 76.9%.

Step-by-step explanation:

The interpretation of a confidence interval of level x% means that we are x% sure that the interval contains the true mean of the population.

In this problem, we have that:

The population are all the cell phone users.

The 95% confidence interval is (73.1%, 76.9%).

Which of the following is an appropriate interpretation of the 95% confidence interval?

D. We can be 95% confident that the proportion of all cell phone users who use text messaging is between 73.1% and 76.9%.

3 0
3 years ago
a particular test correctly identifies those with a certain serious disease 94% of the time and correctly diagnoses those withou
Elodia [21]
This item can be solved by the probability theorem called Bayes' theorem which states that the probability of event A occurring given event B is equal to,
                            P(A/B) = P(A)P(B/A) / P(B)
where P(B/A) is the probability that the test will yield positive if the person has the disease. P(A) is the probability will be present in any particular person which is equal to 0.04. 

P(B) is the probability of positive result irrespective of whether the disease is present of not is calculated below.
                   P(B) = (0.94)x (0.04) + (0.06)(0.96) = 0.0952

Now, solving for P(A/B)
                            P(A/B) = (0.94)(0.04) / 0.0952 = 0.039
Thus, the answer is approximately 4%. 
3 0
3 years ago
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