A manufacturing company regularly conducts quality control checks at specified periods on the products it manufactures. Historically, the failure rate for LED light bulbs that the company manufactures is 3%.Suppose a random sample of 10 LED light bulbs is selected. Complete parts (a) through (d) below.a. What is the probability that none of the LED light bulbs are defective?The probability that none of the LED light bulbs are defective is(Type an integer or a decimal. Round to four decimal places as needed.)b. What is the probability that exactly one of the LED light bulbs is defective?The probability that exactly one of the LED light bulbs is defective is(Type an integer or a decimal. Round to four decimal places as needed.)c. What is the probability that two or fewer of the LED light bulbs are defective?The probability that two or fewer of the LED light bulbs are defective is(Type an integer or a decimal. Round to four decimal places as needed.)d. What is the probability that three or more of the LED light bulbs are defective?The probability that three or more of the LED light bulbs are defective isView instructor tipHelp me solve thisGet more help -NextP Type here to search126 PM80°F36/2022hpdeletdelabinsertprt scthe4+144|s米?escbackspace%3D&O.8.233%$44.6.@YR

We have given that Number of trials n=10 Success of probability p =0.03 X~binomial (n,p) NOTE:-…

Answered: A manufacturing company regularly…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Each of the digits in a raffle is thought to have the same chance of occurrence. The table shows the frequency of each digit for consecutive drawings in a California lottery. Perform the chi-square test to see if you reject the hypothesis at the 0.05 significance level that the digits are from a uniform population. Digit Frequency Digit Frequency 0 43 5 46 1 41 6 39 2 45 7 40 3 41 8 39 4 47 9 29 Click here for the Excel Data File a. State the decision rule. Use 0.05 significance level. (Round your answer to 3 decimal places.) H0: The digits are uniformly distributed.H1: The digits are not uniformly distributed. b. Compute the value of chi-square. (Round your answer to 3 decimal places.)
Suppose a random sample of 824 athletes from the college are asked what their major is. The table below shows the results of the survey. Observed Frequencies of Majors from the Sample Outcome Observed Frequency Math/Science 185 Arts & Humanities 206 Business & Economics 264 Other 169 The distribution of majors at the college is shown in the second column of the table below. Fill in the expected frequencies. (Round to the nearest whole number). Frequencies of Majors at the College Outcome Expected Percent Expected Frequency Math/Science 24 Arts & Humanities 22 Business & Economics 21 Other 33
If you were to draw 15 random samples of 100 residents in a city you may get 15 different mean values simply by chance. These expected differences across samples may be defined as: a. a statistical effect b. sampling error c. random error d. probability
The graph summarizes statistics regarding distracted drivers below the age of 40 who were involved in fatal crashes. Assume that a driver is selected at random from the 2,888 tallied. If the accident was not related to cell phone use, what is the probability that the driver was between the ages of 20 and 29.
Five pulse rates are randomly selected from a set of measurements. The five pulse rates have a mean of 76.6 beats per minute. Four of the pulse rates are 82, 59, 84, and 89. a. Find the missing value. b. Suppose that you need to create a list of n values that have a specific known mean, Some of the n values can be freely selected. How many of the n values can be freely assigned before the remaining values are determined? (The result is referred to as the number of degrees of freedom.)
The Census Bureau gives this distribution for the number of people in American households in 2016. Family size 1 2 4 6. 7 Proportion 0.28 0.35 0.15 0.13 0.06 0.02 0.01 Note: In this table, 7 actually represents households of size 7 or greater. But for purposes of this exercise, assume that it means only households of size exactly 7. Suppose you take a random sample of 4000 American households. About how many of these households will be of size 2? Sizes 3 to 7? The number of households of size 2 is about The number of households of size 3 to 7 is about
You want to see if it makes a difference which lane to be in when there is traffic. You randomly observe 296 cars as they pass by on the four lane freeway. The results are displayed in the table below. Use a level of significance of a = 0.10. a. Complete the rest of the table by filling in the expected frequencies: Frequency of Cars in Each Lane Outcome Frequency Expected Frequency Lane 1 73 Lane 2 63 Lane 3 Lane 4 85 75 b. What is the correct statistical test to use? Select an answer c. What are the null and alternative hypotheses? Ho: O The traffic and lanes are dependent. O The traffic and lanes are independent. O The distribution of traffic is not uniform. OThe distribution of traffic is uniform. H₁: O The traffic and lanes are dependent. O The distribution of traffic is not uniform. O The distribution of traffic is uniform. O The traffic and lanes are independent. d. The degrees of freedom = e. The test-statistic for this data = (Please show your answer to three decimal places.)
(assume a normal population) According to Communications Industry Forecast & Report, published by Veronis Suhler Stevenson, the average person watched 4.55 hours of television per day in 2005. A random sample of 20 people gave the following number of hours of television watched per day for last year. 1.0 4.6 5.4 3.7 5.2 1.7 6.1 1.9 7.6 9.1 6.9 5.5 9.0 3.9 2.5 2.4 4.7 4.1 3.7 6.2 At the 10% significance level, do the data provide sufficient evidence to conclude that the amount of television watched per day last year by the average person differed from that in ̅2005? (Note: ? = 4.760 and s = 2.297.)
Suppose the manager agrees to pay each employee a $50 bonus if they meet a certain goal. On a typical Saturday, the oil change facility will perform 40 oil changes between 10 AM and 12PM. Treating this as a random sample, there would be a 10% chance of the mean oil change time being at or below what value.
11. Add 6 to each number in the dataset. Then, the 15th percentile is:a. 1b. 6c. 8d. 7Use the following information to answer questions 12-14: Suppose the probability that an adult gets thenews from Facebook is 0.60. A random sample of 14 adults were surveyed to determine X, the numberof adults who get their news from Facebook.12. Which of the following statements is false?a. The set of possible x-values is {1, 2, 3, . . ., 14}b. X ~ B (14, 0.60)c. P(X=5) = 0.0408d. µ = 8.413. Find the probability that at least 6 adults get their news from Facebook.a. 0.8499b. 6/14c. 0.6429d. 0.941714. X is of data of type:a. categorical nominalb. categorical ordinalc. numerical continuousd. numerical discrete15. Suppose that the ages of Brunswick CC students are normally distributed. A random sample of 6Brunswick CC students reported the ages of 20, 35, 18, 45, 27, and 20 years old. Find the errorbound that corresponds to the 90% confidence interval for the true population mean age ofBrunswick CC…
Given the following data for an imaginary superhero universe: Flying Telepathy Super Strength Female 70 75 56 Male 6 98 54 What is the empirical probability that a randomly selected female superhero will have telepathy? Answer in decimal form. Round to 3 decimal places as needed.
You want to see if it makes a difference which lane to be in when there is traffic. You randomly observe 372 cars as they pass by on the four lane freeway. The results are displayed in the table below. Use a level of significance of a = 0.10. a. Complete the rest of the table by filling in the expected frequencies: Frequency of Cars in Each Lane Outcome Frequency Expected Frequency Lane 1 89 Lane 2 90 Lane 3 92 Lane 4 101

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