All categories

3 years ago

Matrix tossed three coins. What is the probability that all three coins will land on the same side?

Mathematics

1 answer:

Aleks [24]3 years ago

8 0

Answer: 1/4

Step-by-step explanation:

Probability= number of possible outcomes/ total number of outcomes

Therefore, if matrix tossed three coins at the same time,

Total outcomes will be ( HHH, HHT, HTH, THH, HTT, THT, TTH, TTT)

From the question, the possible outcomes of all three coins landing on the same side is HHH or TTT

Pr ( HHH, TTT) = 1/8 + 1/8

=2/8 = 1/4

I hope this is clear, please mark as brainliest answer.

You might be interested in

Loretta’s income last year was $81,300. She made $56,800 at her salaried job and had additional passive income. If Loretta earne

NARA [144]

81300 - 56800 = 24500 passive income for the year.
24500/12 = 2041.67 passive income per month

8 0

3 years ago

Read 2 more answers

(-3x2 + x + 5) − (4x2 − 2x)

Tasya [4]

Answer:

-7x^2 + 3x + 5

Step-by-step explanation:

-3x^2 + x + 5 - 4x^2 + 2x

7 0

1 year ago

Read 2 more answers

James is studying different kinds of weather.

expeople1 [14]

What ?

Step by step step by step equations

7 0

3 years ago

A survey of 865 voters in one state reveals that 408 favor approval of an issue before the legislature. Construct the 95% confid

katrin [286]

Answer:

The 95% confidence interval for the true proportion of all voters in the state who favor approval is (0.4384, 0.5050).

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 zscore that has a pvalue of $1 - \frac{\alpha}{2}$ .

For this problem, we have that:

$n = 865, \pi = \frac{408}{865} = 0.4717$

95% confidence level

So $\alpha = 0.05$ , z is the value of Z that has a pvalue of $1 - \frac{0.05}{2} = 0.975$ , so $Z = 1.96$ .

The lower limit of this interval is:

$\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.4717 - 1.96\sqrt{\frac{0.4717*0.5283}{865}} = 0.4384$

The upper limit of this interval is:

$\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.4717 + 1.96\sqrt{\frac{0.4717*0.5283}{865}} = 0.5050$

The 95% confidence interval for the true proportion of all voters in the state who favor approval is (0.4384, 0.5050).

6 0

3 years ago

I need help with these.

diamong [38]

3848 383848 999393 2938

6 0

2 years ago