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SCM Final – Statistics & Supply Chain Analysis (2026) | 100 Questions with Answers | Regression, Hypothesis Testing, Probability, Forecasting

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This comprehensive exam prep document for SCM Final 2026 includes 100 expertly answered multiple-choice and problem-based questions, designed to strengthen knowledge in quantitative methods used in supply chain analysis. The content covers a range of statistics and data analytics principles essential for data-driven supply chain and business decision-making. Topics include simple and multiple linear regression, p-values, correlation coefficients, hypothesis testing (t-tests and z-tests), confidence intervals, and binomial and normal distributions. It also explores decision-making under uncertainty, sample size estimation, standard deviation and variance, probability rules, and Excel statistical functions. Additionally, the file features applied case scenarios such as shipment analysis, demand forecasting, and quality control interpretation (e.g., control charts and Six Sigma concepts). Advanced concepts like Central Limit Theorem, Type I and II errors, coefficient of variation, and sampling distributions are included. Excel-based functions are tested throughout, helping students practice skills needed in real-world analytics settings. This document is ideal for students in: – Supply Chain and Logistics – Business Analytics or Statistics for Business – Operations Management or Industrial Engineering – MBA Quantitative Methods Courses – Certifications involving statistical analysis (e.g., ASQ, Six Sigma Green Belt, CPIM, SCPro™) Keywords: linear regression, hypothesis testing, p-value, z-test, t-test, confidence interval, standard deviation, binomial distribution, correlation coefficient, Excel statistics, central limit theorem, coefficient of variation, probability rules, forecasting, Six Sigma, control charts, sample size estimation, descriptive statistics, ANOVA, expected value

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Uploaded on
January 18, 2026
Number of pages
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Written in
2025/2026
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SCM Final 2026 Exam Questions and
Answers | A+ Score Assured



The multiple linear regression equation ŷ = 6 + 1.9x1 + 2x2 - 5x3 has (n-3)

degrees of freedom. - 🧠ANSWER ✔✔False


A marketing research firm is planning a study to test whether the market

share that a new product will capture during its first year on the market is at

most 20 percent. After setting up the null and alternative hypotheses, the

appropriate alternative hypothesis would be that the market share

percentage is: - 🧠ANSWER ✔✔Greater than 20%


A correlation coefficient is an absolute measure. - 🧠ANSWER ✔✔False

,In a simple linear regression analysis, the p-value associated with a test of

the slope coefficient was equal to .035, which would lead us to do what at

the 5% level of significance? - 🧠ANSWER ✔✔Conclude that the true slope

for the population is not equal to zero.

In forecasting the trend in sales from time series data with a simple linear

regression equation, the dependent variable would be time, since sales

would depend upon the time period used. - 🧠ANSWER ✔✔False


If a p-value in Excel is 8.4298E-142, that p-value is - 🧠ANSWER ✔✔a very

small positive number.

A correlation coefficient of -1.0 would imply that the standard error of the

estimate (Se) would necessarily be equal to zero.


Correct Answer - 🧠ANSWER ✔✔True


In an upper-tailed test of the difference of two proportions, the z-value was

calculated to be 1.20. The p-value for this test would then be .1151. -

🧠ANSWER ✔✔True


A sporting goods company is testing two carriers to determine which

company should deliver its packages. The company wants to test if Carrier

, 2 has faster shipping times. Packages were shipped to 36 locations using

each of the carriers. The results are as follows:

Carrier 1: mean delivery time = 14 hours, s = 3.1 hours, n = 36

Carrier 2: mean delivery time = 13 hours, s = 2.6 hours, n = 36

Difference (Carrier 1 time - Carrier 2 time): mean = 1 hour, s = 2.9 hours, n

= 36


The correct t-value for this question is: - 🧠ANSWER ✔✔2.07


When an analyst accepts the null hypothesis that the population slope is

equal to zero, the conclusion is that the X variable is a statistically

significant predictor. - 🧠ANSWER ✔✔False


Assume for a given hypothesis testing problem, the test statistic was

computed and led to an acceptance of the null hypothesis at the .10 level of

significance. Based on this information, we can further conclude that since

H0 was accepted at the 10% level, then H0 - 🧠ANSWER ✔✔must be

accepted at the 1% level of significance AND accepted at the 5% level of

significance.




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