Use the line above to predict the value of the second quiz score if a student had a score of 30 on the first test. (Please enter a whole number)
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.
![The following is data for the first and second Quiz scores for 8 students in a class.
First Quiz (Q1) Second Quiz (Q2)
10
13
14
14
14
19
16
21
19
22
20
25
25
28
26
Plot the points in the grid below, then sketch a line that best fits the data.
32+
Q2
28-
24-
20
16
12
8
QI
20 24 28 3
12
16
Clear All Draw:
Use the line above to predict the value of the second quiz score if a student had a score of 30 on the first
test.
(Please enter a whole number)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F561e6b49-da59-49a1-8d1e-f37531108f67%2F9a16b9ba-f764-42b5-af1a-ba4956fd2e92%2Fw9ej0i5_processed.jpeg&w=3840&q=75)
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