→ uk = u1 + A¢(k) + (k – 1) (k – 2)(2k + 3) → Uk = A¢(k) + where k(k+ 1) (2k – 5) + B, uj = -B – , and B is a arbitrary constant. |
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.
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![Math / Advanced Math / Q&A Library / 3.5.2 Example B (1) It i.
3.5.2 Example B (1) It is straightforward to...
Step 2
1
→ Uk = uj + Ap(k) + (k – 1) [k(2k – 1) – 6)],
where φ (k) Σ
18
k-1 1
i=1 _i
→ uk = u1 + Ad (k) + (k – 1) [2k² – k – 6]
→ Uk = u1 + A$(k) +
(k – 1)(k – 2)(2k + 3)
— ик 3D АФ (k) + k (k + 1) (2k — 5) + в, where
k(k+1)(2k
5) + B,
> Uk =
uj = -B – , and B is a arbitrary constant.
1
So, general solution of (3.152) is
(k – 1)u:
-
(x) (k – 1)
+ (k – 1)k(k + 1) (2k – 5) + B(k – 1).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0083eca2-b9bf-4164-b4a6-ff40b8bc4111%2F02da7c16-4e77-4dbb-8c6e-9248a9e1c1ba%2Fwhvpxlh_processed.jpeg&w=3840&q=75)
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