Determine the Expected Counts for Each Outcome $n=600$ $\begin{array}{l|c|c|c|c}\mathrm{p}_{\mathrm{i}} & 0.25 & 0.05 & 0.35 & 0.35 \\\hline \text { Expected Counts } & & & &\end{array}$

question 2

Multiple Choice

Determine the expected counts for each outcome. $n=600$
$\begin{array}{l|c|c|c|c}\mathrm{p}_{\mathrm{i}} & 0.25 & 0.05 & 0.35 & 0.35 \\\hline \text { Expected Counts } & & & &\end{array}$

• A)
• \(\begin{array}{l|c|c|c|c}
• \mathrm{p}_{\mathrm{i}} & 0.25 & 0.05 & 0.35 & 0.35 \\
• \hline \text { Expected Counts } & 150 & 30 & 210 & 210
• \end{array}\)
• B)
• \(\begin{array}{l|c|c|c|c}
• \mathrm{p_i} & 0.25 & 0.05 & 0.35 & 0.35 \\
• \hline \text { Expected Counts } & 25 & 5 & 35 & 35
• \end{array}\)
• C)
• \(\begin{array}{l|c|c|c|c}
• \text { p}_{i }& 0.25 & 0.05 & 0.35 & 0.35 \\
• \hline \text { Expected Counts } & 154 & 28 & 211 & 207
• \end{array}\)
• D)
• \(\begin{array}{l|l|l|l|l}
• \mathrm{P_{i}} & 0.25 & 0.05 & 0.35 & 0.35 \\
• \hline \text { Expected Counts } & 1500 & 300 & 2100 & 2100
• \end{array}\)

Understand and apply the addition rule of probability.

Recognize examples of probability in everyday situations.

Understand the importance of probability in hypothesis testing.

Distinguish between different types of hypotheses (null and alternative).

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Definitions:

ROP (Reorder Point)

The inventory level at which an order should be placed to replenish stock before it runs out, taking lead time into account.

Normally Distributed

Describes a statistical distribution where data points are symmetrically distributed around the mean, showing a bell-shaped curve pattern.

Periodic Review Policy

A method of inventory control where stock levels are checked at fixed intervals and orders are placed accordingly.

CSL (Cycle Service Level)

An inventory management metric that measures the probability that the inventory level will not stock out within one replenishment cycle, typically expressed as a percentage.