Answer:
it is 2.35
Step-by-step explanation:
Answer:
5 5/6
Step-by-step explanation:
7/3 divided by 2/5=
= 7/3 multiplied by 2/5
= 35/6
simplify 35/6
5 5/6
You find this value by factoring. Factoring finds the zeros of the function. When the ball hits the ground, it has 0 height. Therefore, when the function goes through the x axis, it has a y value of 0. That means that when y = 0, the ball has hit the ground. Use the quadratic formula to factor
. Notice I rearranged the terms. When you factor that you get zeros of -3.19 and 2.19. The two things in math that will never EVER be negative are time and distance/length. Therefore, that tells us that the ball hits the ground 2.19 seconds after it was thrown.
Answer:
the elevation of base camp is 35 ft
Step-by-step explanation:
Starting at 65 feet elevation, and the descending 30 feet to reach base camp, that means that base camp is at: 65 ft - 30 ft = 35 ft elevation
If you want to be able to infer causality from your study and say that your independent variable is causing changes in your dependent variable then you should "use a random sample of the population."
<h3>What is simple random sample?</h3>
A simple random sample is a subsection of a statistical population in which everyone has an equal chance of being selected. A simple random sample is intended to represent a group in an unbiased manner.
Some key features regarding the simple random sample are-
- A simple random sample selects a small, random subset of the population to depict the entire set of data, with each member having an equal chance of being chosen.
- Using methods such as lotteries or random draws, researchers can generate a simple random sample.
- A sampling error may occur when a simple random sample fails to accurately represent the population it is meant to represent.
- Simple random samples are created by allocating sequential values to every item in a population and then selecting those values at random.
- Simple random sampling differs from systematic sampling, stratified sampling, and cluster sampling in its sampling approach.
To know more about the simple random sample, here
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