The mean age of participation is 46 with a standard deviation of 3.2. The minimum percentages of age participation between 41.2 and 50.8 is ______________. Apply Chebyshev's Rule and round to the nearest hundredth of a percent.Fill in the blank.
The mean age of participation is 46 with a standard deviation of 3.2. The minimum percentages...
The mean age of participation is 46 with a standard deviation of 3.2. The minimum percentages of age participation between 36.4 and 55.6 is ______________. Apply Chebyshev's Rule and round to the nearest hundredth of a percent. a) 75% b)88.89% c)96% d)93.75%
The mean of a data set is 750 with a standard deviation of 25. According to Chebyshev's Rule, ________________% of data falls between 650 and 850. Enter your answer to two decimal places.
Assume the average age of an MBA student is 31.3 years old with a standard deviation of 2.3 years. a) Determine the coefficient of variation. b) Calculate the z-score for an MBA student who is 28 years old. c) Using the empirical rule, determine the range of ages that will include 99.7% of the students around the mean. d) Using Chebyshev's Theorem, determine the range of ages that will include at least 93% of the students around the mean. e)...
4. A population has a mean of 500 and a standard deviation of 30. According to the Empirical rule, what percentage of the data would be found between (a) 410 and 590? (b) 440 and 560? 5. A population has a mean of 200 and a standard deviation of 16. According to Chebyshev's Theorem, what percentage of the data would be found between 160 and 240?
A population has a mean μ=0.1 and a standard deviation σ=0.2. What is the standard deviation of the sampling distribution of the sample means if the sample size is n=112? Round your answer to the nearest hundredth.
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.)
A study of working actors looked at age and gender. One sample of 65 male actors had a mean age of 28 and a standard deviation of 3. The other sample included 65 female actors with a mean age of 39 and a standard deviation of 2, Estimate with 98% confidence the difference between the average ages of working male (M1) and female (H2) actors. Round answers to the nearest hundredth.
A study of working actors looked at age and gender. One sample of 75 male actors had a mean age of 23 and a standard deviation of 3. The other sample included 75 female actors with a mean age of 22 and a standard deviation of 4. Estimate with 98% confidence the difference between the average ages of working male (?1) and female (?2) actors. Round answers to the nearest hundredth. ____ < ?1??2 < ____
A study of working actors looked at age and gender. One sample of 60 male actors had a mean age of 37 and a standard deviation of 3. The other sample included 60 female actors with a mean age of 33 and a standard deviation of 4. Estimate with 85% confidence the difference between the average ages of working male (μ1) and female (μ2) actors. Round answers to the nearest hundredth. < μ1−μ2 <
- + 100% 6. Find the sample variance and standard deviation. 7.45, 16, 49, 33, 28, 32, 30, 34, 29 (Round to the nearest hundredth as needed.) (Round to the nearest tenth altneeded.) 7. Fill in the blank The represents the number of standard deviations an observation is from the mean. - represents the number of standard deviations an observation is from the mean. The (1) - (1) O percentile O quartile Orange O z-score