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Q: use T distribution please
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A: @solution:::: thank you for asking this question.
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Q: please solve woth clear answers and steps Data collected at Toronto Pearson International Airport…
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A: A normal distribution has a mean of μ= 54 and a standard deviation of σ=6. Sample size, n = 4
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- A normal distribution has a mean of μμ= 54 and a standard deviation of σσ=6 What is the probability of randomly selecting a score GREATER than 51? A normal distribution has a mean of μμ= 54 and a standard deviation of σσ=6 What is the probability of selecting a sample of n = 4 scores with a mean more than M = 51? A normal distribution has a mean of μμ= 54 and a standard deviation of σσ=6 What is the probability of selecting a sample of n = 36 scores with a mean more than M = 51?STAYS THE SAME, INCREASES OR DECREASES PICK 1 OPTION FOR ALL BLANKS.X is a normally distributed variable with mean = 60 and standard deviation = 10 %3D For a randomly selected score from this distribution what is the probability that X is less than 42
- Apply the Central Limit Theorem for Sample Means A population of values has a normal distribution with u = 234 and o = 37. You intend to draw a random sample of size n = 35. Find the probability that a single randomly selected value from the population is greater than 239. P(X > 239) D %3D Find the probability that a sample of size n = 35 is randomly selected with a mean greater than 239. PIM> 239) = Enter your answers as numbers accurate to 4 decimal places. Answers obtained using exact z-scores or z- scores rounded to 3 decimal places are accepted. Question Help: Message instructor Submit QuestionSAT scores in one state is normally distributed with a mean of 1481 and a standard deviation of 88. Suppose we randomly pick 49 SAT scores from that state. a) Find the probability that one of the scores in the sample is less than 1457. P(X<1457)P(X<1457) = b) Find the probability that the average of the scores for the sample of 49 scores is less than 1457. P(¯¯¯X<1457)P(X¯<1457) =The random variable x has a normal distribution with mean 50 and variance 9. Find the value of x, call it x0, such that: a) P(x ≤ xo) = 0.8413 b) P(x > xo) = 0.025 c) P(x > xo) = 0.95 d) P(41 ≤ x ≤ xo) = 0.8630
- Scores for a common standardized college aptitude test are normally distributed with a mean of 510 and a standard deviation of 105. Randomly selected men are given a Prepartion Course before taking this test. Assume, for sake of argument, that the Preparation Course has no effect on people's test scores.If 1 of the men is randomly selected, find the probability that his score is at least 580.P(X > 580) = Enter your answer as a number accurate to 4 decimal places.If 9 of the men are randomly selected, find the probability that their mean score is at least 580.P(x-bar > 580) = Enter your answer as a number accurate to 4 decimal places. A fitness company is building a 20-story high-rise. Architects building the high-rise know that women working for the company have weights that are normally distributed with a mean of 143 lb and a standard deviation of 29 lb, and men working for the company have weights that are normally distributed with a mean of 178 lb and a standard deviation or…Solve using R commands and manually Suppose that blood chloride concentration (mmol/L) has a normal distribution with mean 104 andstandard deviation 5 (“Mathematical Model of Chloride Concentration in Human Blood,” J. of Med.Engr. and Tech., 2006: 25–30”).(a) What is the probability that chloride concentration equals, less than, and at most 104?(b) What is the probability that someone’s blood chloride concentration level is between 99 and 114?(c) What is the probability that someone’s blood chloride concentration level is above 120?How do you graph grade curves in StatCruch (finding two bounds within grades; ex. D, C, B)??? In other words, finding two cut off scores? Reference: The mean and standard deviation of last semester’s Test 1 scores are 76.5 and 14.8 respectively. Imagine we want to define letter grades using a Normal distribution (assuming this is appropriate). One possible grade distribution could be that the lowest 10% of students earn F’s, the next 15% earn D’s, the next 50% earn C’s, the next 15% earn B’s, and the rest of the students earn A’s. Using the Normal distribution, calculate the Test 1 scores that would separate these letter grades. Your answer needs to include five Normal graphs from StatCrunch where the shaded area on each graph shows the range of scores needed to earn the specific letter grade. Hint: The graphs for A and F will only have one value as a cutoff score whereas the graphs for a B, C, and D will have two cutoff scores. Which students are happy about their curved grades? Why?…
