[Answered] Use the normal approximation of the binomial distribution to find the probability of obtaining at ...

This topic contains a solution. Click here to go to the answer

Author Question: Use the normal approximation of the binomial distribution to find the probability of obtaining at ... (Read 91 times)

karateprodigy

Hero Member
Posts: 550

on: Jul 24, 2018

Use the normal approximation of the binomial distribution to find the probability of obtaining at least 60 heads when a coin is flipped 100 times.

Question 2

Consider a binomial distribution with 15 identical trials, and probability of success of 0.5. Use the normal approximation to find P(3 < x 7).

Need homework help now?

Ask unlimited questions for free

Ask a Question

Marked as best answer by a Subject Expert

ErinKing

Sr. Member
Posts: 362

Reply #1 on: Jul 24, 2018

Answer to Question 1

0.0287

Answer to Question 2

0.734

karateprodigy

Member
Posts: 550

Reply 2 on: Jul 24, 2018

TYSM

Perkypinki

Member
Posts: 339

Reply 3 on: Yesterday

YES! Correct, THANKS for helping me on my review

« previous next »

Did you know?

Fewer than 10% of babies are born on their exact due dates, 50% are born within 1 week of the due date, and 90% are born within 2 weeks of the date.

Did you know?

In ancient Rome, many of the richer people in the population had lead-induced gout. The reason for this is unclear. Lead poisoning has also been linked to madness.

Did you know?

Drugs are in development that may cure asthma and hay fever once and for all. They target leukotrienes, which are known to cause tightening of the air passages in the lungs and increase mucus productions in nasal passages.

Did you know?

On average, someone in the United States has a stroke about every 40 seconds. This is about 795,000 people per year.

Did you know?

Blastomycosis is often misdiagnosed, resulting in tragic outcomes. It is caused by a fungus living in moist soil, in wooded areas of the United States and Canada. If inhaled, the fungus can cause mild breathing problems that may worsen and cause serious illness and even death.