Let, S = Shirt, J = Jeans
14a)
This question asks for the discount to be added after everything else.
S= 12 J=19
3S + 2J -3 = Cost with discount applied to total
^ This expression adds to costs, then takes away the $3 discount as the end.
14b)
This questions says the discount is added on every shirt, we get a similar expression:
3(S-3) + 2(J-3) = Cost with discount applied on every shirt and jeans
14c)
The difference between a) and b) is that:
> the discount in a) is applied on the total, meaning a lower discount
> the discount for b) is applied on each shirt and jeans, meaning a greater discount
14d)
If I were the shop owner I would be more specific of what the discount included, for example we don't know whether to discount each product (shirts and jeans) or only discount the total.
Answer:
so the answer is 10
Step-by-step explanation:
g(x)=×+7+1
2+7+1
10
Answer: LM = 23
Step-by-step explanation:
Solve the algebraic equations:
Line KN: (solve for x)
move the 3 to the other side with addition
divide by 14 to get x by itself
Now that we have x we can find line KL:
So we now know that KL is 23 units. And we know that KL = LM
Predictor variable: proximity from primary residence to farmland (in miles) outcome variable: animal rights opinion (scale from 0-50) correlation coefficient is the appropriate inferential statistic.
What is a predictor and response variable?
- Response or dependent variables are the variables that are of interest in an experiment and are measured or observed.
- Predictor, explanatory, or independent variables are any additional factors in the experiment that may be controlled or assessed by the researcher and have an impact on the answer.
What is a predictor variable example?
In personnel selection, for example, predictors such as qualifications, relevant work experience, and job-specific abilities (e.g., computer competence, ability to speak a certain language) may be used to estimate an applicant's future job performance.
Is a predictor variable dependent or independent?
- The risk factors and confounders are referred to as the predictors, or explanatory or independent variables, whereas the outcome variable is also known as the response or dependent variable.
- The independent variables are designated by "X" while the dependent variable is denoted by "Y" in regression analysis.
Learn more about predictor variable
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<span>Conditional probability of b given a is given by dividing Probability of event b with the probability of both a and b occurring together. Hence in this case, conditional probability of b given a is 0.1 divided by 0.6. On division, the result that is obtained is 0.16.</span>
