1. What is the mean of the sampling proportion? 2. What is the standard deviation of the sampling proportion? (Round to the nearest thousandth.) 3. Find the probability that p will be between 0.01 and 0.03. P(0.01 < p < 0.03) =
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- The sampling distribution of the sample mean is shown. If the sample size is n = 16, what is the standard deviation of the population from which the sample was drawn? Round to the nearest thousandth where appropriate. 7.97 8 8.03Assume an attribute (feature) has a normal distribution in a dataset. Assume the standard deviation is S and the mean is M. Then the outliers usually lie below -3*M or above +3*M. I saw that the solution to this is true. Is the correct? If so, couldn't you give me a brief explaination why because I thought it was falseToday, the waves are crashing onto the beach every 4.6 seconds. The times from when a person arrives at the shoreline until a crashing wave is observed follows a Uniform distribution from 0 to 4.6 seconds. Round to 4 decimal places where possible. a. The mean of this distribution is crash onto the beach exactly 3.7 seconds after the person arrives is P(x 3.7) b. The standard deviation is c. The probability that wave will d. The probability that the e. The probability that it will take longer than 1.22 seconds for the wave to crash onto the beach after the person arrives is wave will crash onto the beach between 0.9 and 3.7 seconds after the person arrives is P(0.9 1.22) = g, 26% of the time a person will wait at least how long before the wave crashes in? seconds. h Find the minimum for the lower quartile. seconds
- On a planet far far away from Earth, IQ of the ruling species is normally distributed with a mean of 108 and a standard deviation of 15. Suppose one individual is randomly chosen. Let X = IQ of an individual. a. What is the distribution of X? X - N( b. Find the probability that a randomly selected person's IQ is over 117. Round your answer to 4 decimal places. c. A school offers special services for all children in the bottom 7% for IQ scores. What is the highest IQ Score a child can have and still receive special services? Round your answer to 2 decimal places. d. Find the Inter Quartile Range (IQR) for IQ scores. Round your answers to 2 decimal places. Q1: Q3: IQR:1Suppose x has a normal distribution with mean ? = 59 and standard deviation ? = 14.a.Describe the distribution of x values for sample size n = 4. (Round ?x to two decimal places.) ?x = ?x = b.Describe the distribution of x values for sample size n = 16. (Round ?x to two decimal places.) ?x = ?x = c.Describe the distribution of x values for sample size n = 100. (Round ?x to two decimal places.) ?x = ?x = d.How do the x distributions compare for the various samples sizes? -The means and standard deviations are the same regardless of sample size. -The standard deviations are the same, but the means are increasing with increasing sample size. -The means are the same, but the standard deviations are decreasing with increasing sample size. -The standard deviations are the same, but the means are decreasing with increasing sample size. -The means are the same, but the standard deviations are increasing with increasing sample size.the mean is 146, and standard deviation is 35. A score of 181 is how many z-scores above the mean?
- Q2. (Sample mean with unknown population variance) Salaries of a city follows a normal distribution with average salary of $1 million. Assume that salary is normally distributed. Suppose a sample of 60 citizens was taken. The sample standard deviation is $0.1 million. (a) What is the standard error for the sample mean salary? (b) What is the probability that the sample mean salary is more than $1.2 million? (c) What is the probability that the sample mean salary is less than $1.4 million? (d) What is the probability that the sample mean salary is between than $1.1 million and $1.3 million?R2BA variable of a population has a mean of = 100 and a standard deviation of o = 49. a. The sampling distribution of the sample mean for samples of size 49 is approximately normally distributed with mean and standard deviation b. For part (a) to be true, what assumption did you make about the distribution of the variable under consideration? A. Normal distribution. B. Uniform distribution. C. No assumption was made. c. Is the statement in part (a) still true if the sample size is 16 instead of 49? Why or why not? A. No, the sampling distribution of the sample mean is never normal for sample size less than 30. B. No. Because the distribution of the variable under consideration is not specified, a sample size of at least 30 is needed for part (a) to be true. C. Yes, the sampling distribution of the sample mean is always normal.
- The age of children in kindergarten on the first day of school is uniformly distributed between 4.95 and 5.95 years old. A first time kindergarten child is selected at random. Round answers to 4 decimal places if possible. a. The mean of this distribution is 5.45 b. The standard deviation is 0.2945 c. The probability that the the child will be older than 5 years old? d. The probability that the child will be between 5.35 and 5.55 years old is e. If such a child is at the 46th percentile, how old is that child? years old.The age of children in kindergarten on the first day of school is uniformly distributed between 4.95 and 5.87 years old. A first time kindergarten child is selected at random. Round answers to 4 decimal places if possible. a. The mean of this distribution is b. The standard deviation is c. The probability that the the child will be older than 5 years old? d. The probability that the child will be between 5.35 and 5.55 years old is e. If such a child is at the 44th percentile; how old is that child? years old. Question Help: Video 1 C Video 2 e Written Example 1 Message instructor Submit Question Jump to Answer 80 こ。 DD F3 F4 F5 F6 F7 FS %23 $ & 1 3 4 7 8. 9 W E R T Y S K C B M つThe average time to run the 5K fun run is 24 minutes and the standard deviation is 2.7 minutes. 16 runners are randomly selected to run the 5K fun run. Round all answers to 4 decimal places where possible and assume a normal distribution. a. What is the distribution of X? X N( b. What is the distribution of a? ¤ - N( c. What is the distribution of) x? ) x - N( d. If one randomly selected runner is timed, find the probability that this runner's time will be between 23.1875 and 23.9875 minutes.