Use the empirical rule to solve the
problem. Explain please |
Use the empirical rule to solve the problem. A data set has size 70. Approximately how...
13. Using the Empirical Rule of a bell-shaped distribution, approximately what percent of data values lie within two standard deviations of the mean?
3.3.128 Question Help The quantitative data set under consideration has roughly a bell-shaped distribution. Apply the empirical rule to answer the following question A quantitative data set of size 60 has mean 30 and standard deviation 3. Approximately how many observations lie between 21 and 397 Approximately observations lle between 21 and 39 (Round to the nearest whole number as needed.)
1. According to the empirical rule, in a normally distributed set of data, approximately what percent of the scores will be within 1 standard deviation (-1 to +1) away from the mean? 40% 95% 68% 75% 2. f you took an IQ test and your score was 2 standard deviations above average, assuming normal distribution, approximately what percent of all IQ test takers would your score be higher than? 98% 60% 70% 80% 3. if you took an IQ test...
Need help on how to do question 7! MTH 243 2.5 The Empirical Rule and Chebyshev's Theorem-Saylor 6. A population data set with a bell shaped distribution has mean p-6 and standard deviation ơ-2. Find the approximate proportion of observations in the data set that lie: a. between 4 and 8 b. between 2 and 10; c. between 0 and 12. 7. A population data set with a bell-shaped distribution has mean -2 and standard deviation a -1.1. Find the...
b) If the sample size is 150, by Chebyshev's rule, at least how many measurements are in the interval within two SDV of the mean? Show your reason or work. c) If the sample size is 150 and we assume the data set is mound shaped, by empirical rule, approximately how many measurements is beyond the interval two SDV of the mean? Show your reason or work. That means, they are either belowor above
mpirical Rule data set which is mound-shaped or approximately mound-sha Forroximately normal), the following statements will hold: 68% of the observations will lie within μ ~95% of the observations will lie within μ -99.7% of the observations will lie within (i.e., normal or app σ 2σ . 3 . Consider a r.v., Z, with a standard normal distribution. We can co Empirical Rule using the Standard Normal Table. nfirm each of the statements in the Note,' Since Z ~ N...
answer these two questions please Consider these sample data: x1 = 16, x2 = 3, x3 = 6, *4 = 21. a. Find n. b. Compute Ex. c. Determine x. a. n = The quantitative data set under consideration has roughly a bell-shaped distribution. Apply the empirical rule to answer the following question. A quantitative data set of size 90 has mean 45 and standard deviation 2. Approximately how many observations lie between 41 and 49? Approximately observations lie between...
Q2. The applications of the 68%-95%-99.7% Empirical Rule and Chebbysheff's Theorem (1) Please use your words to explain what is the 68%-95%-99.7% empirical rule. (2) Please use your words to explain what is the Chebbysheff’s Theorem. (3) Now, suppose there is a normally distributed data set with the mean of 30 and the standard deviation of 5, what can you say about the proportions of observations that lie between each of the following intervals: (i) 25 and 35? (ii) 20...
Using the Empirical Rule, approximately how much probability is less than -1 AND greater than +1 standard deviations from the mean of normal distribution with mean mu & standard deviation sigma?
Chebyshev's rule to make estimates: How do I figure out how many observations? Question A quantitative data set of size 100 has mean 40 and standard deviation 3. At least how many observations lie between 34 and 46? At leastobservations lie between 34 and 46. (Round up to the nearest whole number.)