At a grocery store, the price of a watermelon is determined by how many pounds the watermelon weighs. The price of a watermelon
1 answer:
Answer:
Step-by-step explanation:
Let
p ----> the price of a watermelon in dollars
w ---> the weight of a watermelon in pounds
In this problem we have a proportional relationship
Remember that
A relationship between two variables, x, and y, represent a proportional variation if it can be expressed in the form or
In a proportional relationship the constant of proportionality k is equal to the slope m of the line and the line passes through the origin
In this problem
The value of the constant of proportionality k is the same that the unit rate
Find out the unit rate
Divide the total cost by the total weight
substitute in the equation
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Answer:
Largest prime factor of the given expression is <em>379.</em>
Step-by-step explanation:
Given the expression:
To find:
The largest prime factor of the given expression.
Solution:
First of all, let us factorize the given expression.
Let us learn two formula:
Applying the above formula in the expression written above:
...... (1)
Similarly:
........ (2)
Multiplying the expressions from (1) and (2) to get the result:
So, largest prime factor of the given expression is <em>379.</em>
Answer: 34%
Step-by-step explanation:
According to the Empirical rule,
About 68% of the population lies with in one standard deviation from the mean.
i.e. About 34% of the population lies above one standard deviation from the mean .
and About 34% of the population lies below one standard deviation from the mean.
Given : The distribution of the number of daily requests is bell-shaped ( i.e. Normally distribution) and has a mean of 60 and a standard deviation of 11.
i.e.
Using the Empirical Rule rule, 34% of the population of lightbulb replacement requests lies above one standard deviation from the mean .
i.e. About 34% of the population of lightbulb replacement requests lies between and
i.e. About 34% of the population of lightbulb replacement requests lies between and
i.e. About 34% of the population of lightbulb replacement requests lies between 60 and 71
Hence, the approximate percentage of lightbulb replacement requests numbering between 60 and 71 = 34%