Answer:
Percent of the total food cost: 85%
Cost of the food: $17
Step-by-step explanation:
If the drink is 15% of the bill, then the other 85% is the cost of the food.
85% of 20 is 17
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Answer:
f(n) = 1750 + 70n
Step-by-step explanation:
Since, each of them are depositing 35$ each month, they are adding 35x2 = 70$ each month.
So, in n months, they will be adding 70n $ to their account.
Initially, they had 1,750$ in their account. After n months, they should have 1750+70n $ in their account.
So, the function that represents this is, f(n) = 1750 +70n
We are given the height of Joe which is 1.6 meters, the length of his shadow is 2 meters when he stands 3 meters from the base of the floodlight.
First, we have to illustrate the problem. Then we can observe two right triangles formed, one is using Joe and the length of the shadow, the other is the floodlight and the sum of the distance from the base plus the length of the shadow. To determine the height of the floodlight, use ratio and proportion:
1.6 / 2 = x / (2 +3)
where x is the height of the flood light
solve for x, x = 4. Therefore, the height of the floodlight is 4 meters.
Answer:
-2.
Step-by-step explanation:
f(0) = 0^2 + 8(0) - 2
= -2.
Thus, distribution is a function that shows the possible values for a variable and how often they occur and categorical values are summarized by counts and/or percents
In statistics, the distribution is a function that shows the possible values for a variable and how often they occur.
The distribution of a data set is the shape of the graph when all possible values are plotted on a frequency graph. Usually, we are not able to collect all the data for our variable of interest. Therefore we take a sample. This sample is used to make conclusions about the whole data set.
The categorical variable is a data in which individuals are placed into groups or categories.
One way to summarize categorical data is to simply count (frequency), or tally up, the number of individuals that fall into each category. Another way is to show the percentage of individuals who fall into each category, thereby creating a relative frequency.
Learn more about distribution here
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