The answer to this problem is “C “
Answer: y > -1/2x + 2
Step-by-step explanation: first, in order to find the inequalities you should find the gradient by choosing two points from the line and you should you the formula m=y2-y1/x2-x1 to find the gradient.
Next, you should find the y-intercept in order to complete the inequality it can be easily found as the y-intercept is the place where the line crosses the y axis
Then you create your equation { y = -1/2x + 2 } and then if above the line is shaded then it is {> greater than} and if below the line is shaded then it should be {< less than}
(so you should replace the equation with the lesser or greater sign according to the way the graph is shaded)
Answer:
A
Step-by-step explanation:
I think it is A because if you do the math when your double her time she has way more distance.
Your slope would be -1/4x. If you look at the y-intercept on your graph, which is -2, you would start to count up one box and over 4 boxes to the left. We call this rise/run. So knowing what the slope is now, your entire equation would be y= -1/4x - 2. (Also, if the line is going up towards the left it is a negative slope, if it's to the right it is positive.) I hope this helps love! :)
Answer:
I'd use a Non-probability Sampling Method.
Explanation:
The question is already laced with criteria - Heights of Buildings in New York.
This means that there are certain buildings that won't fit in the sample. In a non-probability sample, objects or subjects are elected based on specified criteria that are not random. This means that not all objects/subject have a c<em>hance</em> of being included in the sample.
It is assumed that the question/assignment centers around high rise buildings.
Therefore, one storey buildings and bungalows that are within and outside New York will not be included in the sample.
Under the Non-Probability Sampling Method, it is essential to note that there are other subgroupings of sampling techniques. They are:
- Convenience Sample
- Voluntary Sample
- Purposive Sample
- Snowball Sample
Cheers!
