FREE LSSGB Questions and Answers

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What choice is chosen when the p value for the Moods Median test is.02 and the level of significance is set at.05?

Correct! Wrong!

If the p result for a hypothesis test is less than the significance level, the null hypothesis is rejected.

A Belt creates a Control Plan to bring a Lean Six Sigma project to a close. When may the Control Plan be shut down?

Correct! Wrong!

A Control Plan is considered a living document in Lean Six Sigma, and it is never fully closed or considered a final, static document. Instead, the Control Plan is continuously updated and monitored as long as the process it describes remains in operation.

The most current data point is normally on the right hand side of SPC charts, where the data are displayed.

Correct! Wrong!

Typically, on SPC charts, the most recent data points are plotted on the right-hand side, and the chart extends to the left as new data becomes available. This layout allows users to visualize the process's performance over time, with the most recent information immediately visible. It also enables the easy detection of any shifts, trends, or other changes in the process behavior.

What kind of waste could the ensuing circumstance generate? More clothes is being produced than what the customer has ordered by a clothing manufacturer.

Correct! Wrong!

The system would produce excessive waste if it processed more data than the consumer required.

The Lean philosophy is what?

Correct! Wrong!

Cost reduction is not the primary objective of the Lean philosophy, which seeks to give perfect value to the
client through a perfect value generation process that produces zero waste.

Which of the following statements regarding the fitted line plot is true?

Please select 2 correct answers

Correct! Wrong!

The Fitted Line Plot suggests that there is a strong linear relationship between the Reactant level and the Energy Consumed. When the Reactant level is set to 6, the predicted output (Y) is close to -18, and the Reactant level accounts for over 85% of the variation in the Energy Consumed. This indicates that the linear regression model is a good fit for the data and can be used to make reasonably accurate predictions of the Energy Consumed based on the Reactant level.

Which set of charts is ideal if continuous data is subgrouped and a process has outliers?

Correct! Wrong!

The Xbar-R charts are a type of control chart used to monitor the central tendency (average) and dispersion (variability) of a process over time when data are collected in subgroups.

The actual experimental response data did not match up exactly with what a Belt had anticipated. Which of these has led to this?

Correct! Wrong!

The residuals are the result of the actual experimental response data varying somewhat from what a Belt had predicted them to be using a regression model.
In a regression analysis, the goal is to create a model that explains the relationship between the independent variable(s) (also known as predictor variable(s)) and the dependent variable (response variable).

Sometimes a Belt will conduct a brief experiment known as an OFAT, which stands for ________.

Correct! Wrong!

In Lean Six Sigma and other quality improvement methodologies, a Belt (a trained practitioner in Lean Six Sigma) may occasionally conduct a quick experiment referred to as OFAT, which stands for "One Factor At a Time."

With effective SPC implementation in a process, Control Limit and Center Line calculations can be set up over a periodic time period.

Correct! Wrong!

A periodic time frame is commonly used to arrange for Control Limit and Center Line calculations with good Statistical Process Control (SPC) implementation in a process.

A rubber tire manufacturer is assessed based on five opportunities for each product; if 100 flaws are found out of 1000 goods produced in a month, the Rolled Throughput Yield is:

Correct! Wrong!

Sigma levels using the table are approximately 3.6. Total Opportunities = 5000 Total Defects = 100
Defects/Opportunities = 100/5000 Defects/Million Opportunities = 100/5000*10,00,000 = 20,000. The
solution is 98% if 3.6 is substituted in the RTY table.

The formula for Sum Square of Error is:

Correct! Wrong!

Sun Square of Pure Error and Sum Square of Lack of Fit are combined to form the Sum Square of Error, or
SSE. Only Pure Error would be a factor in SSE if the model were flawless, which means there would be no fit issues.

What is claimed to be true when samples are randomly selected from a population?

Correct! Wrong!

Although one of the clauses of CLT states that sample mean = population mean, this cannot always be said
with certainty.

Which of these qualifies as a technique for gathering consumer information or feedback?

Correct! Wrong!

Focus groups are thought to be the most effective and useful tool for data collection.

Which statement or statements best describe a bad SPC implementation scenario?

Correct! Wrong!

When implementing Statistical Process Control (SPC), having Control Limits that are wider than the Customer Specification Limits can be an undesirable situation.
Control Limits in SPC charts are used to determine the natural variation or inherent variability of a process. They are typically set at a certain multiple of the process standard deviation from the process mean. The purpose of control limits is to identify when the process is operating within the expected variation (in control) or when it exhibits significant variation (out of control). When points on the SPC chart fall within the control limits, it suggests that the process is stable and in a state of statistical control.

Which graphic would be used to search for trends in the data after a Belt has smoothed the data?

Correct! Wrong!

The Moving Average (MA) chart is a type of control chart that is commonly used to monitor processes over time. It is particularly useful for identifying trends and patterns in the data. The smoothing process you mentioned likely involved calculating the moving average by taking the average of a fixed number of consecutive data points. This moving average calculation helps reduce random variation and highlight underlying trends or shifts in the process.

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