Study Guide for Quantitative Analysis for Business - C723
Quantitative analysis for business (Western Governors University)
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Study Guide for Quantitative Analysis for Business
1. Qualitative vs. Quantitative Studies
● Quantitative Studies: Focus on numerical data. Examples include surveys with
numerical scales, statistical analyses, or experiments with measurable outcomes.
● Qualitative Studies: Focus on non-numerical data, such as opinions, interviews, or
open-ended survey responses.
● Tips: Identify the data type in a question; numbers = quant, opinions/words = qual.
2. Y-hat Equation
● Formula: Y=^a+b1x1+b2x2+b3x3Y\hat = a + b_1x_1 + b_2x_2 +
b_3x_3Y=^a+b1x1+b2x2+b3x3
1. a: Constant (always provided in the question).
2. b: Coefficients for the variables (x1,x2,x3x_1, x_2, x_3x1,x2,x3).
3. x: Values for the respective variables.
● Steps to Solve:
1. Plug in the values for aaa, bbb, and xxx.
2. Remember order of operations (multiplication before addition).
3. Simplify to get the result.
● Tip: Keep track of variable pairs bnb_nbnand xnx_nxncarefully to avoid errors.
3. Probabilities
● Key Concept:
○ For independent events: Add probabilities.
○ Example: If A=10%A = 10\%A=10% and D=25%D = 25\%D=25%, the probability
AAA and DDD happen = 10%+25%=35% 10\% + 25\% = 35\%10%+25%=35%.
○ Use decimal equivalents for percentages (e.g., 10%=0.1010\% = 0.1010%=0.10).
● Tip: If asking about the probability of a single event, just use the percentage directly.
4. Expected Values
● Formula: E(X)=∑(Probability×Value)E(X) = \sum (Probability \times
Value)E(X)=∑(Probability×Value)
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