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andrezito [222]
3 years ago
6

A baseball thrown upward at initial speed of 9.5m/s.

Mathematics
1 answer:
tamaranim1 [39]3 years ago
6 0

Answer:

a) 0.4 s; b) 4.016 m

Step-by-step explanation:

a) Time to same height

\begin{array}{lrcl}(1) & h &=& -4.9t^{2} + 9.5t + 1\\(2) & h & = & -4.9t^{2} + 12t\\& 0 & = & 2.5t - 1\\& 1 & = & 2.5t\\& t & = & \dfrac{1}{2.5}\\\\& t & = & \textbf{0.4 s}\\\end{array}\\

b) Height

Insert the value of t into one of the equations.

h  = -4.9(0.4)^{2} + 12(0.4) = -4.9(0.16) +4.8 = -0.784 + 4.8 = \textbf{4.016 m}

The diagram below shows that the trajectories of the balls intersect after 0.4 s at a height of 4.016 m.

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Given Information:

Cost price = $4

Selling price = $10

Salvage value = $1.50

Average demand = μ = 250 boxes

Standard deviation = σ = 34 boxes

Required Information:

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Answer:

The supermarket should purchase 268 boxes  of lettuce

Step-by-step explanation:

The required number of lettuce boxes that supermarket should purchase is given by

Number of lettuce boxes = μ + (z*σ)

Where μ is the average demand of lettuce boxes, σ is the standard deviation, and z is the z-score which is given by

p = C_us/(C_us + C_os)

The z-score corresponding to probability p will be obtained.

The cost of under stocking is given by

C_us = Selling price - Cost price

C_us = $10 - $4

C_us = $6

The cost of over stocking is given by

C_os = Cost price - Salvage value

C_os = $4 - $1.50

C_os = $2.50

p = C_us/(C_us + C_os)

p = 6/(6 + 2.50)

p = 0.7058

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The z-score corresponding to 70.58% probability is approximately 0.54

Number of lettuce boxes = μ + (z*σ)

Number of lettuce boxes = 250 + (0.54*34)

Number of lettuce boxes = 250 + (18.36)

Number of lettuce boxes = 268.36

Number of lettuce boxes ≈ 268

Therefore, the supermarket should purchase 268 boxes of lettuce.

How to use z-table?

Step 1:

In the z-table, find the probability you are looking for and note down the two-digit number of the given row. (e.g 0.5, 2.2, 0.5 etc.)

Step 2:

Then look up at the top of z-table and note down the value in the column for the remaining decimal point in the range of 0.00 to 0.09.

Step 3:

Finally, add the numbers obtained from step 1 and step 2.

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