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Dennis_Churaev [7]
1 year ago
8

norman purchased 3.5 lb of his favorite mixture of dried fruits to use in trail mix the total cost was $16.87 how much does the

food cost per pound? Hurry please
Mathematics
1 answer:
Alex_Xolod [135]1 year ago
8 0
To do this we will divide d amount of dollars by d amount of lbs.

Lets do it:-
 
16.87 ÷ 3.5 = 4.82
1 lb of trail mix is for $4.82
 
CHECK OUR WORK:-
 
4.82 × 3.5 = 16.87
We were RIGHT!!
 
So, 1 lb of trail mix costs $4.82.
 
Hope I helped ya!! xD
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Which is the graph of g(x) = (0.5)x + 3 – 4? On a coordinate plane, an exponential function decreases in quadrant 2 and has a ho
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Answer:

The graph will be an exponential function that crosses the y-axis at about (0, -4).

Step-by-step explanation:

g(x) = (0.5)^{x + 3} - 4

That means that when x = 0...

g(0) = (0.5)^{0 + 3} - 4

g(0) = (0.5)^{3} - 4

g(0) = 0.125 - 4

g(0) = -3.875

So, the graph will be an exponential function that crosses the y-axis at about (0, -4).

Hope this helps!

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Suppose an automobile manufacturer designed a radically new lightweight engine and wants to recommend the grade of gasoline that
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this is very confusing to understand that you want.

Step-by-step explanation:

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You and a friend are playing a game by tossing two coins. If both coins land
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A company produces precision 1 meter (1000 mm) rulers. the actual distribution of lengths of the rulers produced by this company
pogonyaev

Let X be the length of rulers. X follows Normal distribution with mean μ and standard deviation σ = 0.02. A sample of size n=4 is drawn from population and sample mean m=1000. We have to find 90% confidence interval for population mean μ.

Here population standard deviation is given to us so we will use z confidence interval for mean. It is given as

(Sample mean - Margin of error , Sample mean + Margin of error)

Where margin of error for z confidence interval is

ME = σ \frac{z_{\alpha/2}}{\sqrt{n}}

Where σ = population standard deviation = 0.02

n= sample size =4

z_{\alpha/2} = Critical z score value for given confidence level

We have to find here 90% confidence interval so confidence level c= 0.9

α = 1 -c =1-0.9 = 0.1

z_{\alpha/2} = z_{0.1/2} = z_{0.05}

Here we have to find z score value such that area below it is -z is 0.05 and above z is 0.05

Using excel function to find z score value

=NORM.S.INV(0.05) = -1.645

For calculating confidence interval we consider positive z score value which is 1.645

So the margin of error is

ME = \frac{0.02 * 1.645}{\sqrt{4}}

ME = 0.01645

90% confidence interval for mean is

(Sample mean - ME, Sample mean+ME)

1000- 0.01645, 1000+0.01645

(1000.01645, 999.9836)

Rounding interval upto 3 decimal places

(1000.016, 999.984)

90% confidence interval for population mean is (1000.016, 999.984)

7 0
1 year ago
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