what is the probability to get 3 tails and 1 head.
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A: Given: A coin is tossed three times. To find the probability of getting heads in two tosses.
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A: Given,n=6 , mean=0.40A random variable X~Binomial(n, p)
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A: If you flip a coin 3 times. Using Probability formula,
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A: Introduction: The number of red marbles in the jar is 4, and the number of blue marbles is 5.…
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A: As per company guidelines I solved only First questions.thank you
Q: what is the probability to get 3 tails and 1 head.
A:
Q: A group of students consists of 10 male freshmen, 15 female freshmen, 20 male sophomores, and 5…
A: Given, A randomly selected student can be a female or a freshman. So, these events can occur…
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Q: The mathematics department of a college has 13 male professors, 10 female professors, 6 male…
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Q: If the coin is tossed 4 times, what is the probability to get 3 tails and 1 head.
A: Here given coin is biased coin is tossed 4 time . here occurance of head is three times as likely to…
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Q: A bag contains 8 red, 4 white, and 5 blue marbles. Find the probability of picking 3 white marbles…
A: Total number of balls = 17 Total number of white balls = 4
Q: A coin is tossed 10 times, the probability of getting 4 heads is
A: see 2nd step
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A: Let us suppose that the probability of head = p Define the Random Variable, X : Number of heads in 7…
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A: Given: P( Losing a video game ) = 0.42 P( Winning a video game ) = 1-0.42 = 0.58
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A: Given that A bias coin is flipped four times. (n)= 4 The probability of ‘heads’ occurring is twice…
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A: Given Total = 10+8+6+4 = 28 draw 2 coins with replacing Find P( nickle than a penny ) =?
Q: If a family has three children, find the probability that the two of the children are girls?
A: Since, you have asked multiple question, we will solve the first question for you. If you want any…
Q: In an apartment complex the probability a tenant has a dog is 40% and the probability a tenant has a…
A: Answer :- Given P(D) = 0.40, P(C) = 0.37 and P(C∩D) = 0.15 Here P(D) = Probability…
Q: A coin was tossed 4 times ,the probability of getting 4 tails :
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Q: In Megabucks, a player who correctly chooses five out of the six winning number gets $400. What is…
A: 1): probability of winning $400 is =0.0006433 # rounded to 6 decimal places
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Q: If four coins are flipped, find the probability of obtaining two heads and two tails.
A: Given: Four coins are flipped. Sample…
Q: If one student is chosen at random, Find the probability that the student was male AND got a "B".
A: Total students = 75 Total male students = 25 Total students who got a B = 26 Total male students who…
Q: A group of students consists of 10 male freshmen, 15 female freshmen, 20 male sophomores, and 5…
A:
Q: Suppose you draw two coins from a bag containing 10 quarters, 8 dimes, 6 nickles, and 4 pennies.…
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Q: A bag contains 6 red and 10 black marbles. If you pick a marble from the bag, what is the…
A: Given data, Red marbles=6 Black marble=10 Total marbles=16 P(Marble is not black)=?
Q: If a raffle number is selected once from 1 to 35, what is the probability that the re
A: Given that the raffle number is selected once from 1 to 35. That i, 1, 2, 3, 4, ....., 34, 35 Total…
Q: A committee of three people is to be randomly selected from a group of 20 men and 17 women. What is…
A: Given data; men in group= 20 Women in group = 17 Therefore; Total people in group = 20 +17 = 37…
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- Construct a plot on normal probability paper Measurement results of the diameter of a shaft turned on a CNC lathe Specifications: 0.7495 – 0.7505 1 2 3 4 5 6 7 8 9 10 1 0.7501 0.7501 0.7503 0.7501 0.7502 0.7497 0.7497 0.7500 0.7502 0.7496 2 0.7501 0.7500 0.7498 0.7502 0.7496 0.7504 0.7501 0.7502 0.7502 0.7501 3 0.7500 0.7499 0.7502 0.7503 0.7500 0.7503 0.7503 0.7500 0.7500 0.7499 4 0.7500 0.7502 0.7503 0.7501 0.7498 0.7500 0.7502 0.7503 0.7498 0.7501 5 0.7501 0.7499 0.7501 0.7501 0.7499 0.7500 0.7498 0.7501 0.7501 0.7500 Draw vertical lines on the graph to represent the LSL and USL. Draw horizontal lines to represent three standard deviations. Estimate of % nonconforming above USL = Estimate of % nonconforming below LSL = Total estimated % nonconforming beyond the specification limits =What are the circumstances that motivated W.S Gosset to formulate t-distribution?Suppose x has a distribution (not nessarily normal) with mean 50 and standard deviation 8. According to the Central Limit Theorem, which of the following is true? For samples of size n = 16, is normal with mean 50 and standard deviation 1. For samples of size n = 64, is normal with mean 50 and standard deviation 1. For samples of size n = 16, is normal with mean 50 and standard deviation 8. For samples of size n = 64, is normal with mean 50 and standard deviation 8.
- Prove that for any discrete distribution, standard deviation is not less than mean deviation from mean.Assuming we have a uniform distribution, X, between 8 and 20, calculate the probability that a randomly selected data value will be between 9 and 20. P(9 < x < 20) = IMPORTENT---> [three decimal accuracy]A real estate company is interested in the ages of home buyers. They examined the ages of thousands of home buyers and found that the mean age was 40 years old, with a standard deviation of 10 years. Suppose that these measures are valid for the population of all home buyers. Complete the following statements about the distribution of all ages of home buyers. (a) According to Chebyshev's theorem, at least ? % of the home buyers' ages lie between 20 years and 60 years. (b) According to Chebyshev's theorem, at least 56% of the home buyers' ages lie between ? years and ? years. (Round your answer to the nearest whole number.)
- Suppose that Motorola uses the normal distribution to determine the probability of defects and the number of defects in a particular production process. Assume that the production process manufactures items with a mean weight of 10 ounces. Calculate the probability of a defect and the suspected number of defects for a 1,000-unit production run in the following situations. (a) The process standard deviation is 0.36, and the process control is set at plus or minus one standard deviation. Units with weights less than 9.64 or greater than 10.36 ounces will be classified as defects. If required, round your answer for the probability of a defect to four decimal places and for the number of defects to the nearest whole number. Probability of a defect: Number of defects: (b) Through process design improvements, the process standard deviation can be reduced to 0.12. Assume that the process control remains the same, with weights less than 9.64 or greater than 10.36…A real estate agent believes that the value of houses in the neighborhood she works in has increased from last year. To test this claim, she selects random houses in this neighborhood and compares their estimated market value in the current year to their estimated market value in the previous year. Suppose that data were collected for a random sample of 8 houses, where each difference is calculated by subtracting the market value of the previous year from the market value of the current year. Assume that the values are normally distributed. The agent uses the alternative hypothesis Ha:μd>0. Using a test statistic of t≈7.496, which has 7 degrees of freedom, determine the range that contains the p-value. Probability 0.10 0.05 0.025 0.01 0.005 Degrees of Freedom 5 1.476 2.015 2.571 3.365 4.032 6 1.440 1.943 2.447 3.143 3.707 7 1.415 1.895 2.365 2.998 3.499 8 1.397 1.860 2.306 2.896 3.355 9 1.383 1.833 2.262 2.821 3.250 10 1.372 1.812 2.228 2.764 3.169 11…Find the proportion of the normal distribution that is located between the following zscore boundaries: 1. Between z = 0.25 and z = 0.75 2. Between z = 0 and z = 1.50 3. Between z = -1.00 and z = 1.00 4. Between z = -0.75 and z = 2.00
- 1) DOLE reports that the mean amount of earnings for full-time workers ages 25 to 34 with a master’s degree is lessthan ₱70,000. In a random sample of 15 full-time workers ages 25 to 34 with a master’s degree, the mean amountof earnings is ₱66,231 and the standard deviation is ₱,5945. At α = 0.05, is there enough evidence to support theagency’s claim? Assume the population is normally distributed.Find the probability that it will take on a value within two standard deviations of the mean andcompare this probability with the lower bound provided by Chebyshev’s theorem.A population distribution has a mean of 40 and a standard deviation of 12. (a) What does the central limit theorem say about the sampling distribution of the mean ifsamples of size 50 are drawn from this population? (b) What is the probability that a random sample of 50 has a mean between 38 and 44?