HOMEWORKSILO.COM
Question

A computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Process 1 is the ...

A computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Process 1 is the standard process used for several years, and Process 2 is an updated process hoped to bring a decrease in assembly time. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting 8 workers at random and timing each worker on each assembly process. Half of the workers are chosen at random to use Process 1 first, and the rest use Process 2 first. For each worker and each process, the assembly time (in minutes) is recorded, as shown in the table below. Worker 1 2 3 4 5 6 7 8 Process 1 40 77 45 73 89 41 69 57 Process 2 28 73 56 46 70 58 46 44 Difference 12 -11 27 19 -17 23 13 (Process 1 Process 2) Send data to calculator Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly time for Process 1 exceeds that of Process 2? Answer this question by performing a hypothesis test regarding uz (which is pu with a letter "d" subscript), the population mean difference in assembly times for the two processes. Assume that this population of differences (Process 1 minus Process 2) is normally distributed. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified. (If necessary, consult a list of formulas.)
Transcribed: A computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Process 1 is the standard process used for several years, and Process 2 is an updated process hoped to bring a decrease in assembly time. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting 8 workers at random and timing each worker on each assembly process. Half of the workers are chosen at random to use Process 1 first, and the rest use Process 2 first. For each worker and each process, the assembly time (in minutes) is recorded, as shown in the table below. Worker 1 2 3 4 5 6 7 8 Process 1 40 77 45 73 89 41 69 57 Process 2 28 73 56 46 70 58 46 44 Difference 12 -11 27 19 -17 23 13 (Process 1 Process 2) Send data to calculator Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly time for Process 1 exceeds that of Process 2? Answer this question by performing a hypothesis test regarding uz (which is pu with a letter "d" subscript), the population mean difference in assembly times for the two processes. Assume that this population of differences (Process 1 minus Process 2) is normally distributed. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified. (If necessary, consult a list of formulas.)
Transcribed: (a) State the null hypothesis H, and the alternative hypothesis H1. Ho :0 H :0 (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) O=0 OSO (c) Find the value of the test statistic. (Round to three or more decimal places.) O
Math Statistics Continuous Probability Distribution Hypothesis Tests and Confidence Intervals for Equality of Variances Time Series Analyses, Forecasting Methods, and Indices Multivariate Distributions and Functions of Random Variables Basics of Inferential Statistics Chi-squared Tests Types of Data and Their Measurement Frequency Statistics Research Design Formulation Markov Processes and Markov chain Charts and Graphs for Data Visualization Point Estimation, Limit Theorems, Approximations, and Bounds Conditional Probability, Decision Trees, and Bayes' Theorem Risk Estimation Hypothesis Tests and Confidence Intervals for Means Centre, Spread, and Shape of a Distribution Research Ethics Fundamental Counting Principle Non-parametric Tests Other Statistical Power and Errors Survival Analysis and Life Tables Simulation Correlation, Regression, and Association Hypothesis Tests and Confidence Intervals for Proportions Sample space, Events, and Basic Rules of Probability Statistical Quality Control Anova and Design of Experiments Discrete Probability Distributions Data Collection, Sampling Methods, and Bias Measures

Answer

Similar Questions
Recent Questions

We are a team of students from the University of the Toronto. All the answers are shared by our students from university and we are not responsible for the content.

© 2022 HOMEWORKSILO.COM