LSSMBB Practice Test

Review 400 LSSMBB practice questions with answer explanations and community insights.

Question 1

You are about to run a t-test on shield thickness from 2 suppliers when you determine the data from one group is not normally distributed and cannot be transformed. Your next step would be to?

  1. Use the Shapiro-Wilk test
  2. Proceed with the t-test
  3. Use a non - parametric test
  4. Discontinue the analysis

Question 2

A manufacturing test process has 3 parallel machines performing exactly the same test. The data from this test process can be assumed to be normally distributed and the variances within each machine are the same. To understand if there is a significant statistical difference in the average test value between machines, what test should be used?

  1. Kruskal - Wallis
  2. Chi-Square
  3. ANOVA
  4. Bartlett or Levene

Question 3

Which of the following is a commonly used test that examines the association between multiple discrete variables?

  1. Kruskal-Wallace Test
  2. Shapiro-Wilkes Test
  3. Student's t-Test
  4. Chi-Square Test

Question 4

An engineer is trying to increase a product characteristic mean from the current production 850ֳ… to above 855ֳ…. The standard deviation of the current process and the proposed process are assumed to be the same, ֿƒCurrent = 7.7. The engineer wants to verify that the average difference of his new process as compared to the old process is statistically significant and is greater than 5ֳ…. What are the correct statistical hypotheses for this engineering problem?

  1. Ho: ֲµ New - ֲµ Old ג‰₪ 5, Ha: ֲµ New - ֲµ Old > 5
  2. Ho: ֲµ New - ֲµ Old=5, Ha: ֲµ New - ֲµ Old ג‰ 5
  3. Ho: ֲµ New = 850, Ha: ֲµ New > 850
  4. Ho: ֿƒ New ג‰₪ 7.7, Ha: ֿƒ New > 7.7

Question 5

Which of the following statistical procedures is appropriate when there is one continuous input variable variable (X) and one continuous output variable (Y)?

  1. T-test
  2. Chi-Square test
  3. One-Way ANOVA
  4. Correlation