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nadya68 [22]
3 years ago
14

A cafe owner wants to know how many cold drinks she is likely to sell next week

Mathematics
1 answer:
Simora [160]3 years ago
3 0

she would first calculate how many drinks she sell the other weeks  and  know the rate at which each customer buy the drinks.

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There are 2112 people in a concert.
nadya68 [22]

Answer:

75% of 352 children are boys

Step-by-step explanation:

If 5/6 of the people participaticipants to a concert are adults then 1 out of 6 prople are children so we may reach a number of 2112:6=352 children

if 25% of the children are girls then 75% are boys

88×3=264 boys

7 0
3 years ago
A political polling agency predicts candidate A will win an election with 63% of the votes. Their poll has a margin of error of
scoray [572]

Answer:

56% ≤ p ≤ 70%

Step-by-step explanation:

Given the following :

Predicted % of votes to win for candidate A= 63%

Margin of Error in prediction = ±7%

Which inequality represents the predicted possible percent of votes, x, for candidate A?

Let the interval = p

Hence,

|p - prediction| = margin of error

|p - 63%| = ±7%

Hence,

Upper boundary : p = +7% + 63% = 70%

Lower boundary : p = - 7% + 63% = 56%

Hence,

Lower boundary ≤ p ≤ upper boundary

56% ≤ p ≤ 70%

5 0
3 years ago
Can I get help with 1 & 2??
Rashid [163]
A. g(10)= -29
b.f(3)=16
c.h(-2)=-6
d.j(7)=23
e.h(a)=12/a
f. g(b+c)=-3b-3c+1 ...etc I'm bored
3 0
3 years ago
Two years ago, Paul bought $350 worth of stock in a cell phone company. Since then the value of his stock has been increasing at
zalisa [80]

Answer: $384.13 ( rounded)

Original number: $384.125

Step-by-step explanation:

Find 9.75% of Paul's original stock, to find out how much it increased.

9.75*350/100=34.125

Add $34.125 to his original stock.

$384.125

5 0
3 years ago
The following correlations were computed as part of a multiple regression analysis that used education, job, and age to predict
erma4kov [3.2K]

Answer:

Job has the weakest association with the dependent variable income.

Step-by-step explanation:

The correlation coefficient is used to determine the the strength and direction of the relationship between two variables.

It is denoted by <em>r</em> and the value of <em>r</em> ranges from -1.00 to 1.00.

The correlation data provided is as follows:

                    Income    Education    Job     Age

Income         1.000      

Education     0.677        1.000

Job                0.173         -0.181        1.000

Age               0.369        0.073        0.689   1.000

The dependent variable is the income.

And the variables Education, Job and Age are independent variables.

The correlation between Income and Job is 0.173.

This is the lowest correlation coefficient between the dependent and independent variable.

Thus, Job has the weakest association with the dependent variable income.

8 0
3 years ago
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