Applying the Empirical Rule with z -Scores The Empirical Rule applies rough approximations to probabilities for any unimodal, symmetric distribution. But for the Normal distribution we can be more precise. Use the figure and the fact that the Normal curve is symmetric to answer the questions. Do not use a Normal table or technology. According to the Empirical Rule, a. Roughly what percentage of z -scores are between − 2 and 2? i. almost all ii. 95% iii. 68% iv. 50% b. Roughly what percentage of z -scores are between − 3 and 3? i. almost all ii. 95% iii. 68% iv. 50% c. Roughly what percentage of z -scores are between − 1 and 1. i. almost all ii. 95% iii. 68% iv. 50% d. Roughly what percentage of z -scores are greater than 0? i. almost all ii. 95% iii. 68% iv. 50% e. Roughly what percentage of z -scores are between 1 and 2? i. almost all ii. 13.5% iii. 50% iv. 2%
Applying the Empirical Rule with z -Scores The Empirical Rule applies rough approximations to probabilities for any unimodal, symmetric distribution. But for the Normal distribution we can be more precise. Use the figure and the fact that the Normal curve is symmetric to answer the questions. Do not use a Normal table or technology. According to the Empirical Rule, a. Roughly what percentage of z -scores are between − 2 and 2? i. almost all ii. 95% iii. 68% iv. 50% b. Roughly what percentage of z -scores are between − 3 and 3? i. almost all ii. 95% iii. 68% iv. 50% c. Roughly what percentage of z -scores are between − 1 and 1. i. almost all ii. 95% iii. 68% iv. 50% d. Roughly what percentage of z -scores are greater than 0? i. almost all ii. 95% iii. 68% iv. 50% e. Roughly what percentage of z -scores are between 1 and 2? i. almost all ii. 13.5% iii. 50% iv. 2%
Applying the Empirical Rule with z-Scores The Empirical Rule applies rough approximations to probabilities for any unimodal, symmetric distribution. But for the Normal distribution we can be more precise. Use the figure and the fact that the Normal curve is symmetric to answer the questions. Do not use a Normal table or technology.
According to the Empirical Rule,
a. Roughly what percentage of
z
-scores are between
−
2
and 2?
i. almost allii. 95%
iii. 68%iv. 50%
b. Roughly what percentage of
z
-scores are between
−
3
and 3?
i. almost all ii. 95%
iii. 68%iv. 50%
c. Roughly what percentage of
z
-scores are between
−
1
and 1.
i. almost all ii. 95%
iii. 68%iv. 50%
d. Roughly what percentage of
z
-scores are greater than 0?
i. almost all ii. 95%
iii. 68%iv. 50%
e. Roughly what percentage of
z
-scores are between 1 and 2?
i. almost all ii. 13.5%
iii. 50%iv. 2%
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.
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
6. Show that
1{AU B} = max{1{A}, I{B}} = I{A} + I{B} - I{A} I{B};
I{AB} = min{I{A}, I{B}} = I{A} I{B};
I{A A B} = I{A} + I{B}-21{A} I {B} = (I{A} - I{B})².
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