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Answer:</u></h2><h2><u>
</u>

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Solution Steps:</u></h2>
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<h3>1.) Multiply both sides of the equation by 3:</h3>
× 
× 
<em> - We do this because we need to get x alone and separate from fraction from. </em>
<u>Equation at the end of Step 1:</u>
- <u />
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<h3>2.) Add 33 to both sides:</h3>
Cancels Out
<em> - We do this to cancel out an extra numbers in order to get only x alone with 1 number on the opposite side of the equal. </em>
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Answer:
0.6
Step-by-step explanation:
In this question, the | symbol means "given", so we can phrase the question as "Find the probability that a student watches more than one hour of TV given that they are in the 6th period class"
Next, because there is a 100% chance that the student is in the 6th period class, we can disregard the results of the 3rd period class.
Given that the student is in the 6th period class, there are 15 total students (as 9+6=15 = the sum of the yes and no answers for 6th period) and 9 students that said yes. Therefore, there is a 9/15 = 3/5 = 0.6 probability that a student watches more than 1 hour of TV given that they are in the 6th period class
it is a relatively easy way to draw a sample while ensuring randomness is the answer.
Systematic sampling is a probabilistic sampling method in which a researcher selects members of a population at regular intervals. For example, select every 15 people from the list of populations. If the population is in random order, this can mimic the benefits of a simple random sample.
These are generally preferred by researchers because they are easy to implement and understand. The important assumption that the results represent the majority of the normal population ensures that the entire population is sampled equally. The process also provides a higher level of control for systematic sampling compared to other sampling methods. systematic sampling also has a lower risk factor because the data is unlikely to be contaminated.
Learn more about systematic random sampling here:brainly.com/question/21100042
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Answer:
30ft
Step-by-step explanation:
Don't worry I just know