Given mGH =44 degrees and mEF = 117, Find mLJ.

Q: Find e if a 2.7 mi, b= 3.6 mi and ZC = 41.5 degrees. mi; C=

A:

Q: u = 7x3 v = du = dv = csc²x dx

A: to find du and v

Q: If EF EH and mZEGF 59°, what is MZFGH? %3D G H. MZFGH

A:

Q: The voltage, E, applied across an inductor with inductance L is given by E = L di dt Where i is the…

A: Initially when the current is passed through the inductor, at that time there will be 0 current that…

Q: If meF = (5x + 3)° and the mH - 72°, what is the measure of 2C ?

A: We have to find angle C

Q: csc* 30 cot 30 del

A: Given: ∫ cosec43θ·cot 3θ dθ To solve: The given integral.

Q: In this triangle, mZQ = (5x – 2) ° and m/R = (96 – 3x) °. %3D What is the measure of ZP? m/P-

A:

Q: if x=0.9375 inch and y=0.875 inch, find w

A: x=0.9375 inch y=0.875 inch

Q: rallelogram DEFG if EH=23 find HG. E D er: Submit Answer

A:

Q: If DE N DG and MZDFE = 39°, what is MZEFG? %3D G. D. MZEFG =

A: In ∆FED and ∆FGD, we have FD common ,  DE≅DG (given), ∠E = ∠G

Q: Given M1 = 53.14, M2  = 45.27, and SMD  = 7.21, calculate t.

A: From the provided information, M1 = 53.14, M2 = 45.27 and SMD = 7.21

Q: Find m/FPD. mBD = 116, mDF = 90°, mFH = 138° and mHB = 16° B H G D

A:

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.