A set of data has a mean of 75 and a standard deviation of 5.
What percentage of data will fall between 60 and 90?
What percentage of data will fall between 65 and 85?
What percentage of data will be less than 65?
A set of data has a mean of 75 and a standard deviation of 5. What...
Data are drawn from a bell-shaped distribution with a mean of 75 and a standard deviation of 5. Using Chebyshev's theorem, Approximately what percentage of the observations are less than 65?
Scores on a test are normally distributed with a mean of 70 and standard deviation of 10. Applying the Empirical Rule, we would expect the middle 95% of scores to fall between what two values? 40 and 100 50 and 90 55 and 85 60 and 80 65 and 75
a researcher has a data set with a mean score of 45 and standard deviation of 15 . Assuming that the data set is normally distributed, the researcher would expect approximately 95% of the data to fall between a 35 and 55 b 30 and 60 c 40 and 50 my answer is c can some one draw the bell curve and show me step by step how this is done . thanks
a data set of 90 observations has a mean of 50 and standard deviation of 10 ESLIun 14 A data set of 90 observations has a mean of 50 and standard deviation of 10. Which of the following is not necessarily true "The interval (20,80) has at least 80 observations" "The interval (40,60) contains approximately 68% of the observations" "The interval (30,70) has at least 75% of the observations" Impossible to know A Moving to another question will save this...
Suppose X has a normal distribution with mean 80 and standard deviation of 10. Between what values of x do 95% of the values lie? a)50 and 110 b)60 and 90 c)60 and 100 d)75 and 85
A quantitative data set has mean 23 and standard deviation 1. At least what percentage of the observations lie between 21 and 257 A. 68% B. 95% С. 25 00% OD, 75.00%
Chebyshev's Theorem and the Empirical Rule 1. For a distribution with mean 80 and standard deviation 10 A) What percentage of values will fall between 60 and 100? B) What percentage of values will fall between 50 and 110? 2. The average U.S. yearly per capita consumption of citrus fruit is 26.8 pounds. Suppose that the A) What percentage of Americans would you expect to consume more than 31 pounds of citrus d is bell-shaped with a standard deviation of...
Data are drawn from a bell-shaped distribution with a mean of 100 and a standard deviation of 4. a) Approximately why percentage of the observations fall between 92 and 108? - b) Approximately what percentage of the observations fall between 88 and 112? - c) Approximately what percentage of the observations are less than 96? - I’m having a lot of trouble with these, please explain each problem and show work.
3. A normal distribution of BMCC MATSI scores has a standard deviation of 1.5. Find the z-scores corresponding to each of the following values: a. A score that is 3 points above the mean. b. A score that is 1.5 points below the mean. c. A score that is 2.25 points above the mean 4. Scores on BMCC fall 2017 MATI50.5 department final exam form a normal distribution with a mean of 70 and a standard deviation of 8. What...
The mean score of a competency test is 65, with a standard deviation of 10. Use the Empirical Rule to find the percentage of scores between 55 and 75. (Assume the data set has a bell-shaped distribution.)