Four different linear functions are represented below. Function 1 Function 2 10- y -3 4- -1 -2 2- -1 -10 -8 10 1 4- 1 -8- -10+ Function 3 Function 4 y=-2x+5 The slope is 4 and the y-intercept is 3. Answer the following questions. (a) Which function has the graph with a y-intercept farthest from 0? O Function 1O Function 2 O Function 3 O Function 4 (b) Which functions have graphs with y-intercepts greater than -3? (Check all that apply.) O Function 1 O Function 2 O Function 3 O Function 4 (c) Which function's graph is the steepest? O Function 1 O Function 2 O Function 3 O Function 4 2.

Q: List the restrictions

A: Given expression ( f(x) ) is    fx=x+2x-32x-1x+2×2x-1x+5x-4x-3   This can be simplified by…

Q: one standart?

A: here use Empirical rule

Q: What means supplementary

A: When sum of two angles are 180° then angles are supplementary angles. Suppose one angle is 70° and…

Q: Can you just do question c

A:

Q: Which is the right option?

A: Pascal's identity states that Ckn=Ckn-1+Ck-1n-1 for any positive k and n. here  Ckn  are binary…

Q: Determine the value of

A: we have to determine the value of z to correspondingprobability value is 0.0400

Q: part three is incorrect

A: Here, E=0.03 For 99% confidence level, the value of z is 2.576. Consider p^=0.5 (as sample size need…

Q: Need help with part 3

A: We find inverse of given Matrix

Q: Can you do d, e, and f?

A:

Q: Could you further explain how you got this?

A: Given data :  n = 4 u = 35000 o = 5000 P(x > 40000) = ?

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.