2. Assume that weights of newborn children are normally distributed with a mean (µ) of 116...
2. Assume that weights of newborn children are normally distributed with a mean (µ) of 116 ounces and a standard deviation (σ) of 12 ounces. Find the upper and lower limits that separate the top 5% and the bottom 5%.
please show how z score and standard deviation is found.
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2. Assume that weights of newborn children are normally
distributed with a mean (µ) of 116...
The weights of certain machine components are normally distributed with a mean of 8.34 ounces and...
The weights of certain machine components are normally distributed with a mean of 8.34 ounces and a standard deviation of 0.04 ounces Find the two weights that separate the top 4% and the bottom 4% These weights could serve as limits used to identify wich components should be rejected. Round your answer to the nearest hundredth, if necessary ANSWER Enter your answer in the boxes below. Answer ounces and ounces
Assume that all SAT scores are normally distributed with a mean µ = 1518 and a...
Assume that all SAT scores are normally distributed with a mean µ = 1518 and a standard deviation σ = 325. If 100 SAT scores (n = 100) are randomly selected, find the probability that the scores will have an average less than 1500. TIP: Make the appropriate z-score conversion 1st, and then use Table A-2 (Table V) to find the answer. Assume that all SAT scores are normally distributed with a mean µ = 1518 and a standard deviation...
Suppose the weights of newborn babies is normally distributed with a mean of 7 lbs and...
Suppose the weights of newborn babies is normally distributed with a mean of 7 lbs and a standard deviation of 1.5 pounds. How much would a baby have to weigh to be in the top 10% of birthweights? a. 8.5 b. 5.08 c. 8.35 d. 7.15 e. 8.92
1. The heights of kindergarten children are approximately normally distributed with a mean height of 39...
1. The heights of kindergarten children are approximately normally distributed with a mean height of 39 inches and a standard deviation of 2 inches. A classroom of 20 of these children is used as a sample. What is the probability that the average height , for the class is greater than 40 inches? Illustrate with a graph. ANSWER: 0.0127 2. The heights of kindergarten children are approximately normally distributed with a mean height of 39 inches and a standard deviation...
A normally distributed population has a mean of µ = 70 and a standard deviation of...
A normally distributed population has a mean of µ = 70 and a standard deviation of σ = 12. A sample (n = 36) is selected from a population and a treatment is administered to the sample. After treatment, the sample mean is found to be M = 65. Does this sample provide evidence of a statistically significant treatment effect with an alpha of 0.05 (non-directional hypothesis)? [G&W Chp 8] Yes, our z-score reaches the critical region. No, our z-score fails to...
Assume newborn baby weights are Normally distributed with a mean of 7.6lbs and a variance of...
Assume newborn baby weights are Normally distributed with a mean of 7.6lbs and a variance of 0.6 lbs. Find the probability a newborn baby weighs over 10lbs or below 8 lbs.
Assume newborn baby weights are Normally distributed with a mean of 7.6lbs and a variance of...
Assume newborn baby weights are Normally distributed with a mean of 7.6lbs and a variance of 0.6lbs. You take a random sample of 3 newborn babies and weight them. Let X be the number of newborn babies in the sample that weight less than 8lbs. Fund Var(X)
Consider a normally distributed population with mean µ = 75 and standard deviation σ = 11....
Consider a normally distributed population with mean µ = 75 and standard deviation σ = 11. a. Calculate the centerline, the upper control limit (UCL), and the lower control limit (LCL) for the x¯x¯ chart if samples of size 6 are used. (Round the value for the centerline to the nearest whole number and the values for the UCL and LCL to 2 decimal places.) centerline upper control limit lower control limit b. Calculate the centerline, the upper control...
Assume that the random variable X is normally distributed, with mean µ = 50 and standard...
Assume that the random variable X is normally distributed, with mean µ = 50 and standard deviation σ = 7. Compute the probability P(X ≤ 58). Be sure to draw a normal curve with the area corresponding to the probability shaded.
15) Assume that z scores are normally distributed with a mean of 0 and a standard...
15) Assume that z scores are normally distributed with a mean of 0 and a standard deviation 15) of 1. If P(z> c) 0.109, find c. olve the problem. 16) 16) Scores on an English test are normally distributed with a mean of 37.4 and a standard deviation of 7.9. Find the score that separates the top 59% from the bottom 41% 17) Suppose that replacement times for washing machines are normally distributed with a 17) mean of 10.9 years...
The weights of certain machine components are normally distributed with a mean of 8.34 ounces and a standard deviation of 0.04 ounces Find the two weights that separate the top 4% and the bottom 4% These weights could serve as limits used to identify wich components should be rejected. Round your answer to the nearest hundredth, if necessary ANSWER Enter your answer in the boxes below. Answer ounces and ounces
Assume newborn baby weights are Normally distributed with a mean of 7.6lbs and a variance of 0.6 lbs. Find the probability a newborn baby weighs over 10lbs or below 8 lbs.
15) Assume that z scores are normally distributed with a mean of 0 and a standard deviation 15) of 1. If P(z> c) 0.109, find c. olve the problem. 16) 16) Scores on an English test are normally distributed with a mean of 37.4 and a standard deviation of 7.9. Find the score that separates the top 59% from the bottom 41% 17) Suppose that replacement times for washing machines are normally distributed with a 17) mean of 10.9 years...
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