For the data shown here which statement(s) are true? (Note: There are 2 correct answers).

With greater than 95% confidence, we conclude the samples are from Non-normal Distributions.

If we wanted to compare the Central Tendencies of these three samples we could use Mood's Median test.

With 95% confidence, we cannot conclude if the samples are from three Normal Distributions.

With greater than 95% confidence, we conclude the samples are from Non-normal Distributions.

If we wanted to compare the Central Tendencies of these three samples we would use the one way ANOVA test.

If we wanted to compare the Central Tendencies of these three samples we could use Mood's Median test.

Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).

The Correlation Coefficient is always greater than the Regression Coefficient in a SLR

SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation

The Correlation Coefficient is always greater than the Regression Coefficient in a SLR

General Regression Analysis deals only with Continuous Data

Non-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions

SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation

A valid Multiple Linear Regression (MLR) is characterized by all of these except?

MLR is conducted based on a deliberate form of experimentation

It is an assumption that the X's (inputs) are not correlated to each other

The X's (inputs) are assumed to be independent of each other

The Residuals from MLR analysis have to be Normally Distributed

MLR is conducted based on a deliberate form of experimentation

It is not possible to evaluate interactions in a MLR analysis

Which statement is NOT correct about the Fitted Line Plot shown here?

A reactant value between 6 and 8 units yields around 40 to 60

The independent variable is the reactant

If the reactant was 10 units, with 95% confidence we would expect a minimum yield of 148 units

With at least 95% confidence, we can expect less than 10 units of Yield when the reactant is at a value of 1

A reactant value between 6 and 8 units yields around 40 to 60

When the reactant increases, the expected yield would increase

It would be more likely than not for a Belt conducting a Regression Analysis to find that the _______________________.

r2 value is smaller than the absolute value of r

Correlation Coefficient equals r2

Coefficient of Determination is less than r2

Correlation Coefficient equals r divided by 2

A valid mathematical Regression represents all of the characteristics shown except _________________.

All of the standardized residuals will be within 3 Standard Deviations

The sum of the residuals is zero

The residuals when plotted follow a Normal Distribution

Most standardized residuals are within 2 Standard Deviations

The Residual is equal to the difference between the observed and predicted values

Which statement(s) are correct about the Regression shown here? (Note: There are 2 correct answers).

The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line

The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C

The dependent variable is the outside temperature

The relationship between outside temperature and number of customers per hour is a Linear Regression

The dashed lines indicate with 95% confidence where all of the process data should fall between

The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line

The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C

Review the analysis shown here. Which statements are true about the process? (Note: There are 3 correct answers).

The majority of the process is closer to the lower specification limit

The process has more problems with Variation than Centering

The process follows a non-normal distribution with the given data

The initial focus for this project would be to determine why the thicknesses are so frequently too low

The majority of the process is closer to the lower specification limit

This process is described with the Weibull Distribution

The process has more problems with Variation than Centering

The process follows a non-normal distribution with the given data

A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt's effort requiring that the average cost of an internal critical raw material component be less than or equal to $4,200 in order to stay within budget. Using a sample of 35 first article components, a Mean of the new product upgrade price of $4,060, and a Standard Deviation of $98 was estimated. Select the answer that best states the Practical Problem.

Only if the average cost per product upgrade is $4,060, will the purchase manager introduce new product upgrades with new components

If the average cost per component is $4,200 or less, then the purchase manager will introduce the new product upgrade with new components

If the average cost per component is greater than $4,200, then the purchase manager will introduce the new product upgrade with new components

Only if the average cost per product upgrade is $4,060, will the purchase manager introduce new product upgrades with new components

If the average cost per new product upgrade is less than $180, then the purchase manager will introduce the new product upgrade with new components

For the data set shown here which of these statements is/are true?

Grade A has the lowest sample Mean of the 3 samples

Hypothesis Testing of Means or Medians cannot be done since there are an unequal number of observations for the 3 samples

A Paired T-test would be applicable for comparing Grade B and Grade A since they follow each other in the data set

Grade A has the lowest sample Mean of the 3 samples

Grade A has a higher sample Mean than Grade B

Review the analysis shown here. Which statements are true about the process? (Note: There are 3 correct answers).

The majority of the process is closer to the lower specification limit.

The process has more problems with Variation than Centering.

The process follows a non-normal distribution with the given data.

The initial focus for this project would be to determine why the thicknesses are so frequently too low.

The majority of the process is closer to the lower specification limit.

This process is described with the Weibull Distribution.

The process has more problems with Variation than Centering.

The process follows a non-normal distribution with the given data.

What conclusion is most correct about the Experimental Design shown here with the response in the far right column?

The response level is statistically concluded to only need the Adv and Bev factors set at the low level to get the largest response rate

No factor has enough statistical confidence greater than 95% to have an impact on the response rate

Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more

If the Adv is increased from the low level to the high level, the response rate increases

The response level is statistically concluded to only need the Adv and Bev factors set at the low level to get the largest response rate

This design does not have enough experimental runs to conclude anything as evidenced by the lack of P-values in the MINITABTM output

To be an effective Lean Six Sigma practitioner one must understand the difference between ___________________________.

Practical and Statistical significance

ANOVA and the Analysis of Variance

Nonparametric tests and tests of Non-normal Data

F-test and test of variances of 2 samples

Practical and Statistical significance

A Belt is analyzing data and upon creation of the graphical analysis sees multiple modes. One of the primary reasons this could occur is because the process has experienced a ____________________.

Significant change from one shift to another

Sizable Measurement System error

Catastrophic failure of some sort

From the variance F-test shown above, which of these conclusions is/are valid?

The variance between the class score distribution is significantly different

The variance between the class score distribution is not significantly different

This test applies only to Normal Distributed data at 99 % confidence

This test applies only to Non-normal Data at 99 % confidence

There are not enough data points to make any statistical conclusions

To properly analyze the variables impacting the output of a process we need to collect data that represents at least 80% of the variation in the process and assure ourselves we are collecting data from all three types of variation which are _______________.

Induced, Natural and Unavoidable

Some of the sources for different types of error that can be quantified using Statistical Analysis are ___________________.

All of these answers are correct

The class score distribution of schools in a metropolitan area is shown here along with an analysis output. Comment on the statistical significance between the Means of the two distributions. Select the most appropriate statement.

The two class Means are statistically different from each other

The two class Means statistically not different from each other

Inadequate information on class Means to make any statistical conclusions

A visual comparison shows that class Means are not statistically different

A visual comparison shows that class Means are statistically different

Six Sigma ICBB Practice Test 1 - Free Online Exam Prep & Questions

A Non-parametric Test should be used if just one distribution is not Normal out of the two or more gathered.

True

False

Comment (0)

Six Sigma ICBB Practice Test 1

Question

Six Sigma ICBB Practice Tests

Practice Tests