villane0
2021-11-21
Ralph Lester
Beginner2021-11-22Added 16 answers
Step 1 Correlation test for Scale/ Ordinal Variables
here we are testing where there is a correlation or linear relationship between two Scale/ Ordinal Variables. i.e.
testing significance of collection coefficient between two Scale/ Ordinal variables.
Step 2
1. Hypotheses
First, we specify the null and alternative hypotheses:
Null hyposesis
2. Test Statistic
Test statistic:
where r is correlation coefficient between two variables n = number of pairs
3. P-Value
Third, we use the resulting test statistic to calculate the P-value. An always, the P-value is the answer to the question'' how likely is it that we'd get a test statistic
4. Conclusion
If the P-value is smaller than the significance level «, we reject the null hypothesis in favor of the alternative. We conclude "there is sufficient evidence at thea level to conclude that there is a linear relationship in the population between the predictor x and response y."
If the P-value is larger than the significance level a, we fail to reject the null hypothesis. We conclude "there is not enough evidence at the a level to conclude that there is a linear relationship in the population between the predictor xand response y."
In a regression analysis, the variable that is being predicted is the "dependent variable."
a. Intervening variable
b. Dependent variable
c. None
d. Independent variable
What is in math?
Repeated addition is called ?
A)Subtraction
B)Multiplication
C)Division
Multiplicative inverse of 1/7 is _?
Does the series converge or diverge this
Use Lagrange multipliers to find the point on a surface that is closest to a plane.
Find the point on closest to using Lagrange multipliers.
I recognize as my constraint but am unable to recognize the distance squared I am trying to minimize in terms of 3 variables. May someone help please.
Just find the curve of intersection between and
Which equation illustrates the identity property of multiplication? A B C D
The significance of partial derivative notation
If some function like depends on just one variable like , we denote its derivative with respect to the variable by:
Now if the function happens to depend on variables we denote its derivative with respect to the th variable by:
Now my question is what is the significance of this notation? I mean what will be wrong if we show "Partial derivative" of with respect to like this? :
Does the symbol have a significant meaning?
The function is a differentiable function at such that and for every . Define , with the given about. Is it possible to calculate or , or ?
Given topological spaces , consider a multivariable function such that for any , the functions in the family are all continuous. Must itself be continuous?
Let be an independent variable. Does the differential dx depend on ?(from the definition of differential for variables & multivariable functions)
Let and let . Then find derivative of , denoted by .
So, Derivative of if exists, will satisfy .
if and ,
1) 𝑎𝑛𝑑 so his means that the function is a function of one variable which is
2) while we were computing 𝑝𝑎𝑟𝑡𝑖𝑎𝑙 𝑑𝑒𝑟𝑖𝑣𝑎𝑡𝑖𝑣𝑒𝑠 we treated and as two independent variables although that changes as changes but while doing the 𝑝𝑎𝑟𝑡𝑖𝑎𝑙 𝑑𝑒𝑟𝑖𝑣𝑎𝑡𝑖𝑣𝑒𝑠 w.r.t we treated and as two independent varaibles and considered as a constant
Let be defined as
then check whether its differentiable and also whether its partial derivatives ie are continuous at . I dont know how to check the differentiability of a multivariable function as I am just beginning to learn it. For continuity of partial derivative I just checked for as function is symmetric in and . So turns out to be
which is definitely not as . Same can be stated for . But how to proceed with the first part?