We have that
using a graph tool
see the attached figure
case A) x − 2y > 3
this <span>inequality represented the graph
case B) </span><span>x − 2y < 3
</span>this inequality not represented the graph
case C) <span>2x − y > 3
</span>this inequality not represented the graph
case D) <span>2x − y < 3
</span>this inequality not represented the graph
the answer isthe option <span>
A, x − 2y > 3</span>
Answer:
5 / (x+4) x ≠2 x≠-4
Step-by-step explanation:
5(x-2)/(x-2)(x+4)
The denominator cannot be zero so x ≠2 x≠-4
Cancel like terms in the numerator and denominator
5 / (x+4) x ≠2 x≠-4
The equation in y = mx+b form is y = -450x+2745
where,
x = number of hours that have passed by
y = distance to destination in miles
The y intercept is 2745 since this is the initial starting y value, aka the starting distance. Therefore b = 2745.
The slope is -450 or -450/1 since for each hour, the distance goes down by 450. You can think of it as
slope = (change in y)/(change in x)
slope = (change in distance)/(change in time)
slope = (-450 miles)/(1 hour)
slope = -450
Considering that the shaded area is the part of the semi circle outside the triangle:
Area of circle= Pi x radius2 (this means radius squared)
Area of triangle= 1/2 x base x height
1/2 (because it is a semi circle) x 3.14 (in replacement of pi as directed by question) x 9squared= 127.17
127.17 - (1/2 x 18 x 9) = 46.17cmsquared
Answer:
C. Elizabeth wants to estimate the mean vacation days of coworkers at her company. She collects data by selecting a random group of coworkers within her department.
Step-by-step explanation:
Sampling Bias is case, in which some section of population have higher or lower chance of being selected in sample than others.
'Elizabeth wants to estimate the mean vacation days of coworkers at her company. She collects data by selecting a random group of coworkers within her department'. This case is of Convenience Sampling, where person selects sample only as per his/ her convenience.
Elizabeth has conveniently chosen sample workers from her department, so they have higher chance of being in sample, others have lesser chance. Hence, this is Sampling Bias
