Assuming a normal distribution:
If 16% are less than 307, then 84% are greater than 307.
Using single tailed normal tables we want the z value which gives 84%-50% = 34% = 0.34 to the left of the mean; this is z ≈ -0.995
z = (value - mean)/standard deviation
→ standard deviation = (value - mean)/z ≈ (307 - 312)/-0.995 ≈ 5.03
The z value of 322 is z ≈ (322 - 312)/5.03 ≈ 1.99
Using the single tailed tables give the value of the normal distribution for z = 1.99 as approx 0.477 to the right of the mean.
This means that 0.477 + 0.5 = 0.977 are less than 322
→ 1 - 0.977 = 0.023 = 2.3 % are greater than 322
→ probability greater than 322 is 2.3%
The SD is 5.03Pr(Test Score >= 322) = 2.3%
50 percent
5000 students participated in a certain test yielding a result that follows the normal distribution with means of 65 points and standard deviation of 10 points.(1) Find the probability of a certain student marking more than 75 points and less than 85 points inclusive.(2) A student needs more than what point to be positioned within top 5% of the participants in this test?(3) A student with more than what point can be positioned within top 100 students?i dont understand the question.. could you help me??pls....
If a student is picked at random what is the probability that he/she received an A on his/her fina?
It would be approximately normal with a mean of 2.02 dollars and a standard error of 3.00 dollars.
I think it depends on how many students are thinking of alphabet letters at the same time :) The first student will think of a letter from the English alphabet. Then, the second student will think of a letter. The probability that the second student will select what the first student selected is 1/26.
The probability is 0.5
Percent deviation formula is very useful in determining how accurate the data collected by research really is. Percent Deviation = (student data-lab data) / lab data then multiplied by 100 Note: If the percent deviation is a negative number that means the student data is lower than the lab value.
The probability is 10 percent.
13.0
50 percent
The probability is indeterminate. I might ask a student or I might not.
Different examinations have different thresholds for A grades.
Context of this question is not clear because it is NOT a full question. However when attempting to estimate an parameter such as µ using sample data when the population standard deviation σ is unknown, we have to estimate the standard deviation of the population using a stastitic called s where _ Σ(x-x)² s = ▬▬▬▬ n -1 _ and estimator for µ , in particular x ........................................._ has a standard deviation of s(x)= s/√n and the statistic _ x - hypothesized µ T = ▬▬▬▬▬▬▬▬▬▬ s has a student's T distribution with n-1 degrees of freedom If n> 30 , then by the Central Limit Theorem, the T distribution approaches the shape and form of the normal(gaussian) probability distribution and the Z table may be used to find needed critical statistical values for hypothesis tests , p-values, and interval estimates.
5000 students participated in a certain test yielding a result that follows the normal distribution with means of 65 points and standard deviation of 10 points.(1) Find the probability of a certain student marking more than 75 points and less than 85 points inclusive.(2) A student needs more than what point to be positioned within top 5% of the participants in this test?(3) A student with more than what point can be positioned within top 100 students?i dont understand the question.. could you help me??pls....
If a student is picked at random what is the probability that he/she received an A on his/her fina?
213 213
1/2.