SAT Scores Quantitative SAT scores are approximately Normally distributed with a mean of 500 and a standard deviation of 100. On the horizontal axis of the graph, indicate the SAT scores that correspond with the provided z -scores. (See the labeling in Exercise 6.14.) Answer the questions using only your knowledge of the Empirical Rule and symmetry a. Roughly what percentage of students earn quantitative SAT scores greater than 500? i. almost all ii. 75% iii. 50% iv. 25% v. about 0% b. Roughly what percentage of students earn quantitative SAT scores between 400 and 600? i. almost all ii. 95% iii. 68% iv. 34% v. about 0% c. Roughly what percentage of students earn quantitative SAT scores greater than 800? i. almost all ii. 95% iii. 68% iv. 34% v. about 0% d. Roughly what percentage of students earn quantitative SAT scores less than 200? i. almost all ii. 95% iii. 68% iv. 34% v. about 0% e. Roughly what percentage of students earn quantitative SAT scores between 300 and 700? i. almost all ii. 95% iii. 68% iv. 34% v. 2.5% f. Roughly what percentage of students earn quantitative SAT scores between 700 and 800? i. almost all ii. 95% iii. 68% iv. 34% v. 2.5%
SAT Scores Quantitative SAT scores are approximately Normally distributed with a mean of 500 and a standard deviation of 100. On the horizontal axis of the graph, indicate the SAT scores that correspond with the provided z -scores. (See the labeling in Exercise 6.14.) Answer the questions using only your knowledge of the Empirical Rule and symmetry a. Roughly what percentage of students earn quantitative SAT scores greater than 500? i. almost all ii. 75% iii. 50% iv. 25% v. about 0% b. Roughly what percentage of students earn quantitative SAT scores between 400 and 600? i. almost all ii. 95% iii. 68% iv. 34% v. about 0% c. Roughly what percentage of students earn quantitative SAT scores greater than 800? i. almost all ii. 95% iii. 68% iv. 34% v. about 0% d. Roughly what percentage of students earn quantitative SAT scores less than 200? i. almost all ii. 95% iii. 68% iv. 34% v. about 0% e. Roughly what percentage of students earn quantitative SAT scores between 300 and 700? i. almost all ii. 95% iii. 68% iv. 34% v. 2.5% f. Roughly what percentage of students earn quantitative SAT scores between 700 and 800? i. almost all ii. 95% iii. 68% iv. 34% v. 2.5%
Solution Summary: The graph represents the density curve of the Quantitative SAT score, which is normally distributed with the mean of 500 and the standard deviation of 100.
SAT Scores Quantitative SAT scores are approximately Normally distributed with a mean of 500 and a standard deviation of 100. On the horizontal axis of the graph, indicate the SAT scores that correspond with the provided
z
-scores. (See the labeling in Exercise 6.14.) Answer the questions using only your knowledge of the Empirical Rule and symmetry
a. Roughly what percentage of students earn quantitative SAT scores greater than 500?
i. almost all
ii. 75%
iii. 50%
iv. 25%
v. about 0%
b. Roughly what percentage of students earn quantitative SAT scores between 400 and 600?
i. almost all
ii. 95%
iii. 68%
iv. 34%
v. about 0%
c. Roughly what percentage of students earn quantitative SAT scores greater than 800?
i. almost all
ii. 95%
iii. 68%
iv. 34%
v. about 0%
d. Roughly what percentage of students earn quantitative SAT scores less than 200?
i. almost all
ii. 95%
iii. 68%
iv. 34%
v. about 0%
e. Roughly what percentage of students earn quantitative SAT scores between 300 and 700?
i. almost all
ii. 95%
iii. 68%
iv. 34%
v. 2.5%
f. Roughly what percentage of students earn quantitative SAT scores between 700 and 800?
i. almost all
ii. 95%
iii. 68%
iv. 34%
v. 2.5%
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
The masses measured on a population of 100 animals were grouped in the
following table, after being recorded to the nearest gram
Mass
89 90-109 110-129 130-149 150-169 170-189 > 190
Frequency 3
7 34
43
10
2
1
You are given that the sample mean of the data is 131.5 and the sample
standard deviation is 20.0. Test the hypothesis that the distribution of masses
follows a normal distribution at the 5% significance level.
state without proof
the uniqueness
theorm of probability
function
(a+b)
R2L
2+2*0=?
Ma
state without proof the uniqueness theorm
of probability function suppose thatPandQ
are probability measures defined on the
same probability space (Q, F)and that
Fis generated by a π-system if P(A)=Q(A)
tax for all A EthenP=Q i. e. P(A)=Q(A) for alla g
// معدلة 2:23 ص
Elementary Statistics: Picturing the World (7th Edition)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.