The teacher of a seventh-grade class flipped a coin 100 times. The students recorded the results in the table shown below:

Mathematics

1 answer:

9966 [12]2 years ago

7 0

Answer: Answer: Third option is correct.

Step-by-step explanation: Step-by-step explanation:

Since we have given that

Number of heads = 56

Number of tails = 44

Total number of flips = 100

So, Probability of getting head is given by

Theoretical probability of getting head is given by

There is a difference of

0.54-0.50=0.04 = 4%

Hence, the experimental probability is 4% higher than the theoretical probability.

Therefore, Third option is correct.

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A university dean is interested in determining the proportion of students who receive some sort of financial aid. Rather than ex

amm1812

Answer:

6546 students would need to be sampled.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of $\pi$ , and a confidence level of $1-\alpha$ , we have the following confidence interval of proportions.

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

In which

z is the z-score that has a p-value of $1 - \frac{\alpha}{2}$ .

The margin of error is:

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

The dean randomly selects 200 students and finds that 118 of them are receiving financial aid.

This means that $n = 200, \pi = \frac{118}{200} = 0.59$

90% confidence level

So $\alpha = 0.1$ , z is the value of Z that has a p-value of $1 - \frac{0.1}{2} = 0.95$ , so $Z = 1.645$ .

If the dean wanted to estimate the proportion of all students receiving financial aid to within 1% with 90% reliability, how many students would need to be sampled?

n students would need to be sampled, and n is found when M = 0.01. So

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

$0.01 = 1.645\sqrt{\frac{0.59*0.41}{n}}$