How Much Statistics is in CMA-US?

How Much Statistics is Included in the CMA-US Exam?

I’m currently studying for the CMA-US exam, but I feel a bit unsure about my statistics skills. I’d like to know how much statistics is actually covered in the exam and which specific topics I should prioritize.

From my review of the syllabus, it seems that statistics plays a significant role in:

  • Part 1: Budgeting & Forecasting, Cost Variance Analysis, Data Analytics
  • Part 2: Decision Analysis, Risk Assessment, Financial Statement Analysis

Given my limited background in statistics, which specific areas should I focus on to ensure I’m well-prepared?

Thank you for your help!

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One response

  1. Hi there!

    It’s great to hear that you’re preparing for the CMA-US exam. You’re correct that statistics play a role in both parts of the exam, especially within the contexts you mentioned. Here’s a breakdown of the areas you might want to focus on:

    Part 1

    1. Budgeting & Forecasting:
    2. Basic concepts of statistical forecasting models (like moving averages and regression analysis).
    3. Understanding variability and how it affects budgeting.

    4. Cost Variance Analysis:

    5. Knowledge of standard deviations and how to calculate variance, which involves some statistical calculations.

    6. Data Analytics:

    7. Familiarity with descriptive statistics (mean, median, mode, etc.), distributions, and basic inferential statistics.
    8. Understanding data visualization techniques (like histograms or scatter plots) and what they represent.

    Part 2

    1. Decision Analysis:
    2. Concepts of probability and risk assessment, which are essential for understanding decision trees and expected value calculations.
    3. Basic understanding of hypothesis testing can also be beneficial.

    4. Risk Assessment:

    5. Recognizing how to quantify risk using statistical measures (like variance and standard deviation).

    6. Financial Statement Analysis:

    7. Familiarity with ratios and trends, which may involve some basic statistical comparisons.

    Suggested Topics to Study:

    • Descriptive Statistics: Mean, median, mode, variance, standard deviation.
    • Probability: Basic probability rules, conditional probability, and concepts of normal distribution.
    • Sampling: Types of sampling methods, understanding the importance of sample size.
    • Regression Analysis: Understanding how to interpret simple regression outputs.
    • Hypothesis Testing: Basic concepts and how to draw conclusions from statistical analyses.

    To strengthen your statistics foundation, consider online resources, study guides, or even statistics review courses tailored to the CMA exam.

    Best of luck with your exam preparation! You’ve got this!

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