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3 years ago

At the salad bar, the grocery store charges $5.99 for each half pound you buy. Which variable is dependent?

Mathematics

1 answer:

son4ous [18]3 years ago

7 0

Answer:

See below.

Step-by-step explanation:

cost = function of the number of half pounds you buy

Let n = number of half pounds you buy.

Let c = cost.

The cost function is

c = 5.99n

n is the independent variable. The number of half pounds you buy is any number you choose. Once you have a fixed number for n, then c depends on that number.

c is the dependent variable.

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rewona [7]

Answer:

Step-by-step explanation:

Given that,pros.

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3 years ago

Add a explanation with your answer

Alenkasestr [34]

I hope this helps !!

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3 years ago

Help me pleas due to day

Fed [463]

Answer:

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Step-by-step explanation:

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3 years ago

Solve the equation 3x + 4 = 5x - 8

CaHeK987 [17]

Answer:

x = 6

Step-by-step explanation:

3x + 4 = 5x - 8

==> add 8 to both sides

in doing so we get 3x + 4 + 8 = 5x - 8 + 8

the -8 and the +8 cancels out and 4 + 8 = 12

we are left with 3x + 12 = 5x

==> subtract 3x from both sides

in doing so we get 3x - 3x + 12 = 5x - 3x

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3 0

2 years ago

Read 2 more answers

The speeds of cars on a given i street we are normally distributed with a mean of 72 miles per hour and a standard deviation of

Ostrovityanka [42]

Answer: 72.78% of the drivers are traveling between 70 and 80 miles per hour based on this distribution.

Step-by-step explanation:

Let X be a random variable that represents the speed of the drivers.

Given: population mean : M = 72 miles ,

Standard deviation: s= 3.2 miles

The probability that the drivers are traveling between 70 and 80 miles per hour based on this distribution:

$P(70\leq X\leq 80)=P(\frac{70-72}{3.2}\leq \frac{X-M}{s}\leq\frac{80-72}{3.2})\\\\= P(-0.625\leq Z\leq 2.5)\ \ \ \ \ [Z=\frac{X-M}{s}]\\\\=P(Z\leq2.5)-P(Z\leq -0.625)\\\\\\ =0.9938-0.2660\ \ \ [\text{Using p-value calculator}]\\\\=0.7278$

Hence, 72.78% of the drivers are traveling between 70 and 80 miles per hour based on this distribution.

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3 years ago