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Natali5045456 [20]
3 years ago
5

Please help me and can someone explain how to do this stuff?

Mathematics
1 answer:
tensa zangetsu [6.8K]3 years ago
5 0

Answer:

D

Step-by-step explanation:

The angles are congruent meaning that 5x-70 must equal 105

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(a) what is the sample space for this chance process?

If we toss a coin three times then there are total 2^{3}=8 outcomes

The sample space associated with the given chance process is:

S= \left \{ HHH,HHT,HTH,HTT,THH,THT,TTH,TTT\right \}

(b) what is the assignment of probabilities to outcomes in this sample space?

Since the given sample space has eight outcomes and we know that a fair coin is tosses three times. Therefore, the probability of all the events mentioned in the given sample space is same. Hence we have:

Probability = \frac{1}{8}


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The Pew Forum on Religion and Public Life reported on Dec. 9, 2009, that in a survey of 2003 American adults, 25% said they beli
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The confidence interval at the 99% confidence level for the proportion of all adult Americans who believe in astrology is (0.2251, 0.2749). This means that we are 99% sure that the true proportion of all adult Americans who believe in astrology is in this interval.

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}}

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For this problem, we have that:

p = 0.25, n = 2003

99% confidence level

So \alpha = 0.01, z is the value of Z that has a pvalue of 1 - \frac{0.01}{2} = 0.995, so Z = 2.575.

The lower limit of this interval is:

\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.25 - 2.575\sqrt{\frac{0.25*0.75}{2003}} = 0.2251

The upper limit of this interval is:

\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.25 + 2.575\sqrt{\frac{0.25*0.75}{2003}} = 0.2749

The confidence interval at the 99% confidence level for the proportion of all adult Americans who believe in astrology is (0.2251, 0.2749). This means that we are 99% sure that the true proportion of all adult Americans who believe in astrology is in this interval.

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