6. Question 6 You have measured your CTQ ‘dimension’ and made this probability plot. Which distribution does the data follow? 1 / 1 point Normal. Weibull. Lognormal. Cannot…
4. Question 4 What can be concluded based on this confidence interval? 1 point The estimates of the mean and median are equal. There is uncertainty…
1. Question 1 For your Lean Six Sigma project you collect data on 50 calls in a call center. What describes the population the best? 1 / 1 point All potential customers….
10. Question 10 The probability distribution of 4 datasets (A,B,C and D) are displayed. Which of these distributions has the lowest location parameter and the lowest spread parameter? 1 / 1 point…
8. Question 8 You measured your CTQ. What can be concluded based on this ECDF (empirical cumulative distribution function)? 1 / 1 point 19.8 percent of the population lie between 15…
7. Question 7 What is a likely explanation for the pattern in this probability plot? 1 / 1 point Outliers. Skewness. Bimodality. Weibull distribution.
5. Question 5 Which graph(s) show a skewed distribution? 1 / 1 point Neither A nor B. Both A and B. Only B. Only A.
Question 2 Consider the provided output that gives the patients Length of Stay. Which statement is false? 1 / 1 point 95% of the data points lie within 14.201 and 15.599….
9. Question 9 You measure the dimension of a product. It is known that dimension follows a normal distribution with mean 10 millimetres, and a standard deviation of 1 millimetre….
3. Question 3 Which measure cannot be used to quantify dispersion? 1 / 1 point Interquartile range. Range. Third quartile. Standard deviation.
