Qestion 1- from table below: x y x2 y2 xy 5 25 25 625 125 3 20 9 400 60 4 21 16 441 84 10 35 100 225 350 15 38 225 1444 570 ∑X= ∑y= ∑X2= ∑y2= ∑XY=Correlation Coefficient is: A-0.79 B-0.97 C-0.03 D-1 Coefficient of Determination is: A-0.97 B-0.0 C-0.94 D-0.06 The Coefficient of Determination quantity means: A-94% from data can be explained from the linear equation between x and y B-94% from data can not be explained from the linear equation between x and y C97% from data can be explained from the linear equation between x and y D-6% from data can be explained from the linear equation between x and y The relation between x and whey is: A-perfect direct B-strong indirect C-intermediate direct D-strong direct The Coefficient of Determination quantity from: A(-1 to 1) B(-1 to 0) C(0 to -1) D(0 to 1)
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Qestion 1- from table below:
x y x2 y2 xy
5 25 25 625 125
3 20 9 400 60
4 21 16 441 84
10 35 100 225 350
15 38 225 1444 570
∑X= ∑y= ∑X2= ∑y2= ∑XY=
A-0.79
B-0.97
C-0.03
D-1
Coefficient of Determination is:
A-0.97
B-0.0
C-0.94
D-0.06
The Coefficient of Determination quantity means:
A-94% from data can be explained from the linear equation between x and y
B-94% from data can not be explained from the linear equation between x and y
C97% from data can be explained from the linear equation between x and y
D-6% from data can be explained from the linear equation between x and y
The relation between x and whey is:
A-perfect direct
B-strong indirect
C-intermediate direct
D-strong direct
The Coefficient of Determination quantity from:
A(-1 to 1)
B(-1 to 0)
C(0 to -1)
D(0 to 1)
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