Sr. No | X1 | X2 | X3 | X4 | X5 |
1 | 96 | 60 | 50 | 82 | 69 |
2 | 50 | 72 | 92 | 69 | 96 |
3 | 60 | 88 | 80 | 80 | 50 |
4 | 69 | 96 | 88 | 50 | 88 |
5 | 82 | 50 | 74 | 60 | 74 |
6 | 74 | 74 | 50 | 74 | 72 |
7 | 80 | 69 | 60 | 88 | 80 |
8 | 69 | 78 | 74 | 50 | 74 |
9 | 84 | 50 | 72 | 50 | 60 |
10 | 50 | 70 | 60 | 60 | 84 |
Mean | 71.4 | 70.7 | 70 | 66.3 | 74.7 |
1-Find the standard deviation and the average of the final grades (final grade page is attached)...
In a chemistry class, the average grade on the final examination was 60 with a standard deviation of 4. Use Chebyshev's theorem to answer the following questions. a. At least what percentage of students received grades between 54 to 66? b. At least what percentage of students received grades between 52 to 68 hours? C. Determine an interval for the grades that will be true for at least 80% of the students. (Hint: First compute the Z-score.)
the average grade of a group of 24 alegbra students is 85%, and the standard deviation is known to be 4%, find the 95% confidence interval for the true mean of the grades
5. North Carolina State University posts the complete grade distributions for its courses online. The distribution of grades for all students in all sections of Accounting 210 in the spring semester of 2001 was Grade Probability .18 32 34 09 07 a. Using the scale A -4, B-3, C-2, D- 1, and F 0, let Xbe the grade of a randomly chosen b. Let X denote the mean grade for a random sample of 50 students from Accounting 210. Since...
In a statistics class, the average grade on the final examination was 75 with a standard deviation of 5. a. At least what percentage of the students received grades between 50 and 100? Determine an interval for the grades that will be true for at least 70% of the students. b.
The average grade in a statistics course has been 76 with a standard deviation of 11. If a random sample of 56 is selected from this population, what is the probability that the average grade is more than 80? Use Appendix B.1 for the z-values. (Round your z-value to 2 decimal places and the final answer to 4 decimal places.) Probability
1) The grades of students in a class are distributed normally. The average grade of the students in this class is 65; standard deviation is 2. The students who take the teacher give more points by making "systematic error". What is the passing score since it gives more than 25% of the class score in total? Calculate.
Cats live for 14 years on average, with a standard deviation of 2 years. A simple random sample of 78 recently deceased cats is selected, and the sample mean age at death of these cats is computed. We know that the random variable has an approximately Normal distribution because of a. the law of large numbers. b. the fact that probability is the long-run proportion of times an event occurs. c. the 68–95–99.7 rule. d. the central limit theorem
Use the Central Limit Theorem for Sums to find the sample mean and sample standard deviation Question Suppose weights, in pounds, of dogs in a city have an unknown distribution with mean 26 and standard deviation 3 pounds. A sample of size n = 67 is randomly taken from the population and the sum of the values is computed. Using the Central Limit Theorem for Sums, what is the mean for the sample sum distribution? Provide your answer below: pounds
Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution. Then sketch a graph of the sampling distribution. The per capita consumption of red meat by people in a country in a recent year was normally distributed, with a mean of 105 pounds and a standard deviation of 37.3 pounds. Random samples of size 20 are drawn from this population and the mean of each sample is determined.
Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution. Then sketch a graph of the sampling distribution The per capita consumption of red meat by people in a country in a recent year was normally devoted, with a mean of 116 pounds and a standard deviation of 37.0 pounds. Random samples of size 19 are drawn from this population and the mean of each sample is determined