1. Suppose X is a random variable with mean μ and standard deviation σ. If a large number of trials is observed, at least what percentage of these values is expected to lie between μ − 3σ and μ + 3σ?
2. A basketball player has a 80% chance of making a free throw. (Assume that the throws are independent of each other.) What is the probability of her making 110 or more free throws in 120 trials? (Round your answer to four decimal places.)
3. The manager of Madison Finance Company has estimated that, because of a recession year, 4% of its 700 loan accounts will be delinquent. If the manager's estimate is correct, what is the probability that 37 or more of the accounts will be delinquent? (Round your answer to four decimal places.)
1. Suppose X is a random variable with mean μ and standard deviation σ. If a...
Question 3 1 pts Suppose X is a normal random variable with a mean equal to 50 and a standard deviation equal to 5. Find the value of: P(46 < X < 58) Your answer should include four decimal places. Question 4 1 pts Section 8.6: A basketball player has a 75% chance of making a free throw. (Assume that the throws are independent of each other.) What is the probability of her making 100 or more free throws in...
Use the appropriate normal distribution to approximate the resulting binomial distribution ASK YOUR TEACHER A basketball player has a 80% chance of making a free throw (Assume that the throws are independent of each other.) What is the probability of her making 100 or more free throws (Round your answer to four decimal places.) 125 trials You may need to use the appropriate table in the Appendix of Tables to answer this question
Please help and work out :) There are two parts to this problem A)The scores on an economics examination are normally distributed with a mean of 71 and a standard deviation of 13. If the instructor assigns a grade of A to 13% of the class, what is the lowest score a student may have and still obtain an A? B)Use the appropriate normal distribution to approximate the resulting binomial distribution. A basketball player has a 80% chance of making...
Suppose a basketball player is an excellent free throw (shots awarded when a player is fouled) shooter and makes 80% of his free throws (or he has and 80% chance of making a single free throw). Assume that free throw shots are independent of one another. Suppose this player gets to shoot four free throws. Find the probability that he makes four consecutive free throws.
Assume the random variable X is normally distributed with mean μ=50 and standard deviation σ=7. Compute the probability. Be sure to draw a normal curve with the area corresponding to the probability shaded. P(X>38)=________ (Round to four decimal places as needed.)
Assume the random variable x is normally distributed with mean μ=82 and standard deviation σ=44. Find the indicated probability. P(x<79 ) P(xl<79 )=______ (Round to four decimal places as needed.)
X is a normal random variable with mean μ and standard deviation σ. Then P( μ− 1.6 σ ≤ X ≤ μ+ 2.6 σ) =? Answer to 4 decimal places.
This Question: 1 pt 1 of 6 (1 complete In a national basketball association, the top free-throw shooters usually have probability of about 0.85 of making any given free throw. Complete parts through a. During a game, one such player shot 11 free throws. Let Xnumber of free throws made. What must you assume in order for X to have a binomial distribution? A. His assumed that the data are binary, that there is the same probability of success for...
Assume the random variable X is normally distributed with mean μ= 50 and standard deviation σ 7. Find the 87th percentile. The 87th percentlie is Round to two decimal places as needed.) The number of chocolate chips in an 18-ounce bag of chocolate chip cookies is approximately normally distributed with a mean of 1252 chips and standard deviation 129 chips (a) What is the probability that a randomly selected bag contains between 1100 and 1400 chocolate chips, inclusive? (b) What...
In a national basketball association, the top free-throw shooters usually have probability of about 0.90 of making any given free throw. Complete parts a through c. a. During a game, one such player shot 11 free throws. Let X = number of free throws made. What must you assume in order for X to have a binomial distribution? A. It is assumed that the data are binary, that there is the same probability of success for each trial (free throw),...