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Professor Bartrich has 184 students in her mathematics class The scores on the final examination are normally distributed and have a mean of 72.3 and a standard deviation of 8.9 How many students in?
about 25
Scores on an exam are normally distributed with a mean of 76 and a standard deviation of 10 In a group of 230 tests how many students score below 66?
There are approximately 16.4% of students who score below 66 on the exam.
A survey of 35 students of a university showed a sample mean age of 21.7 with a standard deviation of 3.1 years What is the point estimate of the students' mean age?
It is the sample mean age of 21.7.
What is the null hypothesis of an overall mean for a score of 85 with a standard deviation of 10 and the mean for 40 students is 90.?
The null hypothesis could be that the 40 students are a sample from the same (or similar) population.
A random sample of 120 students has a test score average with a standard deviation of 11.4 Find the margin of error if c equals 0.90?
i y=use Z-test
Professor Bartrich has 184 students in her mathematics class The scores on the final examination are normally distributed and have a mean of 72.3 and a standard deviation of 8.9 How many students in?
about 25
Scores on an exam are normally distributed with a mean of 76 and a standard deviation of 10 In a group of 230 tests how many students score below 66?
There are approximately 16.4% of students who score below 66 on the exam.
If 1000 students take a test that has a mean of 40 minutes a standard deviation of 8 minutes and is normally distributed how many would you expect would finish in less than 40 minutes?
The expected number is 500.
If all students in a class scored 100 on an exam what is the standard deviation?
Standard deviation is 0.
How do you use Standard Deviation to compare students results?
Standard deviation is used to measure the variability or dispersion of students' results around the mean score. By calculating the standard deviation for each group of students, educators can understand how consistently students performed relative to the average. A lower standard deviation indicates that students' scores are clustered closely around the mean, suggesting similar performance, while a higher standard deviation indicates greater variability in results. This analysis helps identify students who may need additional support or those who excel beyond their peers.
What is the significance of standard deviation?
To see how wide spread the results are. If the average (mean) grade for a certain test is 60 percent and the standard deviation is 30, then about half of the students are not studying. But if the mean is 60 and the standard deviation is 5 then the teacher is doing something wrong.
Explain why a selection of 10 students from your class can have marks that aren't normally distributed when the marks of the whole class are normally distributed?
The sample size is likely to be too small.
A survey of 35 students of a university showed a sample mean age of 21.7 with a standard deviation of 3.1 years What is the point estimate of the students' mean age?
It is the sample mean age of 21.7.
What is the null hypothesis of an overall mean for a score of 85 with a standard deviation of 10 and the mean for 40 students is 90.?
The null hypothesis could be that the 40 students are a sample from the same (or similar) population.
What is the middle 95 percent of students who drink five beers with a standard deviation of 01 and a mean of 07?
Not possible to tell you without knowing how many students' there are, and what distribution you wish to use (i.e normal distribution, t-distribution etc...)
A random sample of 120 students has a test score average with a standard deviation of 11.4 Find the margin of error if c equals 0.90?
i y=use Z-test
If a test has a normal distribution with a mean of 400 and a standard deviation of 100 what would be the minimum score for the top 3 percent of students?
(x-400)/100=1.882 x=588.2
