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SHRM SHRM-CP: Society for Human Resource Management Certified Professional Certified Professional salary

The average income of a SHRM SHRM-CP Certified Expert in

• United State - $ 99,247
• England - 70,632 POUND
• Europe - 70,347 €
• India - 20,42,327 INR

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Topics of SHRM SHRM-CP: Society for Human Resource Management Certified Professional Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our SHRM SHRM-CP exam dumps will include the following topics:

Module 1: Define

Introduction to SHRM

• Business opportunity
• Need for SHRM
• Project teams
• CTx (quality, time, cost)
• Project charter
• SHRM metrics
• Scope
• Problem statement
• Stakeholder analysis
• SIPOC (supplier, input, process, output, customer)
• History of SHRM
• Pareto analysis
• Voice of the customer (VOC)
• Examples of SHRM results
• Objective primary and secondary metrics
• DMAIC (Define, Measure, Analyze, Improve, Control) methodology overview
• Converting VOC to CTQs (critical to quality)
• Cost of poor quality (COPQ)

Module 2 : Measure

• Pareto chart

• Binomial and Poisson capability analysis

• 5S (sort, straighten, shine, standardize, sustain) and visual management

• Variable gage R&R

• Confidence intervals

• Histogram

• Process stability

• Fishbone diagram

• Mean, median, mode

• Rolled throughput yield (RTY), defect per unit (DPU), defects per million opportunities (DPMO), Sigma level (including shift)

• Basic statistics and probability

• Value stream, flow

• Exponential, Weibull, lognormal

• Crossed versus nested designs

• Non-normal capability analysis

• Binomial, Poisson

• Scatterplot

• Process distributions

• Lean concepts

• Kanbans, work cells

• Push versus pull systems

• Process capability

• Destructive testing

• Range, interquartile range, variance, standard deviation

• Sampling and data collection

• Normal capability analysis (Cp, Cpk, CPM, Pp, Ppk)

• Normal distribution

• Sample versus population

• Graphical tools

• Supply chain, just-in-time

• Types of data

• Sampling bias

• Seven forms of waste

• Accuracy versus precision

• Percentiles

• Measurement system analysis

• Standard work

• OEE (overall equipment effectiveness)

• Dot plot

• Sampling techniques: random, stratified random, systematic, rational subgrouping

• Time series plot

• Boxplot

• Central limit theorem

• Batch versus single-piece flow

• Power and sample size calculations

• Attribute Gage R&R

• Process mapping

Module 3 : Analyze

• Chi-square
• Anderson-Darling normality test
• Hypothesis testing
• One-sample t-test
• One-way analysis of variance (ANOVA)
• Two-sample Poisson rate
• Normal
• Two-sample test for variation
• Two-sample t-test
• Binomial, Poisson
• One-sample sign
• 2k full factorial DOE
• Chi-squared contingency table
• Binary logistic regression
• Test for equal variance
• Multi-vari analysis
• Inferential probability distributions
• One-sample test for variation
• Correlation and regression
• One-sample Poisson rate
• True, False
• Design of experiments (DOE) strategies
• Two-proportion test
• Failure mode and effects analysis (FMEA)
• Multiple regression
• Mood's median test
• Paired t-test
• One-proportion test
• DOE center points, blocking, covariates

Module 4 : improve

• Self-inspection
• Load charts/line balancing
• Process simplification
• Theory of constraints
• Spaghetti chart
• Mistake proofing
• Value stream mapping
• Training
• Checklist
• Lean measures of time: lead time, takt time, completion time, cycle time
• Time value mapping

Module 5 : Control

• P-charts
• U-charts
• Xbar-R charts
• I-MR charts
• C-charts
• Xbar-S charts