Eva collected 2,090 coins. Elijah collected 1,910 coins. They divided all their coins into 8 equal stacks. How many coins are in
1 answer:
You might be interested in
Answer:
<u>Fred.</u>
Started hang gliding at a height of 700 ft and descends 15 feet every seconds
<u>Gene</u>
Started hang gliding at a height of 575 ft and descends 10 feet every seconds
Step-by-step explanation:
The function that models Fred's hang gliding is
The initial value is 700 feet. This Fred was 700 feet above see level before he starts descending.
The rate of descent is -15 ft/s. This means Fred descends 15 feet in one second.
From the table the initial height is 575 ft. This means Gene was 575 feet above sea-level at the beginning of the hang gliding.
The rate of descent is ft/s.
This means that in every seconds, Gene descends 10 feet.
Answer:
The solution to the inequality is:
The solution graph is also attached below.
Step-by-step explanation:
Given
We are given the expression
To determine
Solve for x
Given the expression
Subtract 5 from both sides
Simplify
Multiply both sides by 3
Simplify
Thus, we conclude that:
Therefore, the solution to the inequality is:
The solution graph is also attached below.
Answer:
Significance of the mean of a probability distribution.
Step-by-step explanation:
- The mean of a probability distribution is the arithmetic average value of a random variable having that distribution.
- For a discrete probability distribution, the mean is given by,
, where P(x) is the probabiliy mass function.
- For a continuous probability distribution, the mean s given by,
, where f(x) is the probability density function.
- Mean is a measure of central location of a random variable.
- It is the weighted average of the values that X can take, with weights given by the probability density function.
- The mean is known as expected value or expectation of X.
- An important consequence of this is that the mean of any symmetric random variable (continuous or discrete) is always on the axis of symmetry of the distribution.
- For a continuous random variable, the mean is always on the axis of symmetry of the probability density function.