A process produces strings of Christmas tree lights that historically have experienced a defective rate of 4%. A customer has placed an order for 140 strings of lights. Use the normal approximation to the binomial distribution to answer parts a through e. d. What is the probability that 4, 5, or 6 strings in this order will be defective? The probability is nothing. (Round to four decimal places as needed.)

A process produces strings of Christmas tree lights that historically have experienced a defective rate of 4%. A customer has placed an order for 140 strings of lights. Use the normal approximation to the binomial distribution to answer parts a through e. d. What is the probability that 4, 5, or 6 strings in this order will be defective? The probability is nothing. (Round to four decimal places as needed.)

Name: A process produces strings of Christmas tree lights that historically
Uploaded: 2024-03-20T06:38:44.000Z
Channel: Bartleby
Description: A process produces strings of Christmas tree lights that historically have experienced a defective rate of 4%. A customer has placed an order for 140 strings of lights. Use the normal approximation to the binomial distribution to answer parts a thro

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

For each of the following, choose what distribution is appropriate and solve. In a certain manufacturing plant, 6% of the finished product are defective. Solve for the probability that the first defective is the 15th one sampled.
Assume that the amount of time until a kid gets bored and wants to leave a playground can be modeled using exponential distribution. Given that 5 kids leave a particular playground on average per hour, if a kid has already played 10 minutes there what is the probability he will have spent at least a total of 25 minutes before he leaves? OA. 0.2865 OB. 0,7135 OC 0.8755 OD.0.1245
refers to the flatness or peakedness of a frequency distribution. О а. Combination O b. Kurtosis c. none of the above O d. Conditional Probability
The data on the right represent the number of live multiple-delivery births (three or more babies) in a particular year for women 15 to 54 years old. Use the data to complete parts (a) through (d) below. Age Number of Multiple Births 15-19 90 20-24 512 25-29 1633 30-34 2839 35-39 1842 40-44 379 45-54 115 (a) Determine the probability that a randomly selected multiple birth for women 15-54 years old involved a mother 30 to 39 years old. P(30 to 39)=0.6320.632 (Type an integer or decimal rounded to three decimal places as needed.) (b) Determine the probability that a randomly selected multiple birth for women 15-54 years old involved a mother who was not 30 to 39 years old. P(not 30 to 39)=nothing (Type an integer or decimal rounded to three decimal places as needed.)
Use the data in the following table, which lists drive-thru order accuracy at popular fast food chains. Assume that orders are randomly selected from those included in the table. Drive-thru Restaurant A B C D Order Accurate 314 277 244 131 Order Not Accurate 33 51 34 18 If three different orders are selected, find the probability that they are all from restaurant D.
The mileage (in 1,000s of miles) that car owners get with a certain kind of radial tire is a random variable having an exponential distribution with a mean of 50. a. What is the probability that a tire will last at most 40,000 miles? b. What is the probability that a tire will last at least 65,000 miles? c. What is the probability that a tire will last between 70,000 and 80,000 miles?
The figure below represents the data from Table 3.6 in the book. It summarizes the lengths of hospital stays (days) for a sample 25 patients. Duration of hospitalization (days) 6. 1. 01-05 06-10 11-15 16-20 >20 What is the probability that someone stayed in the hospital at most 10 days? None of these choices are correct.
Use the data in the following table, which lists drive-thru order accuracy at popular fast food chains. Assume that orders are randomly selected from those included in the table. Drive-thru Restaurant D C 247 Order Accurate 134 Order Not Accurate 34 14 If one order is selected, find the probability of getting food that is not from Restaurant A. A 330 40 B 280 59 The probability of getting food that is not from Restaurant A is (Round to three decimal places as needed.)
Assume each newborn baby has a probability of approximately 0.49 of being female and 0.51 of being male. For a family with four children, let X = number of children who are girls. Identify p for the binomial distribution.
Megan has purchased the insurance policy from an insurance company to cover the value of hers new car in case if it gets totaled for the price of $1500 per year. Megan's car worth $20000 and the probability of her totaling the car during the length of the policy is estimated to be 0.4%. Let XX be the insurance company's profit. Answer the following questions: 1. Create the probability distribution table for XX : XX outcome profit xx ,$ P(X=x)P(X=x) car is totaled car is not totaled 2. Use the probability distribution table to find the following: E[X]=μX=E[X]=μX= dollars. (Round the answer to 1 decimal place.) SD[X]=σX=SD[X]=σX= dollars. (Round the answer to 1 decimal place.)
According to Reader's Digest, 44% of primary care doctors think their patients receive unnecessary medical care. Use the z-table. a. Suppose a sample of 260 primary care doctors was taken. Show the sampling distribution of the proportion of the doctors who think their patients receive unnecessary medical care. E(p)= (to 2 decimals) (to 4 decimals) b. What is the probability that the sample proportion will be within ±0.03 of the population proportion? Round your answer to four decimals. c. What is the probability that the sample proportion will be within ±0.05 of the population proportion? Round your answer to four decimals. d. What would be the effect of taking a larger sample on the probabilities in parts (b) and (c)? Why? The probabilities would - Select your answer -increasedecreaseItem 5 . This is because the increase in the sample size makes the standard error, ,
The length of life, in hours, of a drill bit in a mechanical operation has a Weibull distribution with a = 3 and ẞ= 60. Find the probability that the bit will fail before 12 hours of usage. The probability is ☐ (Round to four decimal places as needed.)