Compared to attribute control charts, variable control charts are more informative because they:

Question

BlackTom AI · Accepted Answer

When comparing attribute control charts to variable control charts, the key distinction lies in the type of data and the level of detail they provide.
Option 1: 'Measure a continuous characteristic and provide more detailed information' is accurate because variable charts track measurements that can take on a range of values (like length, weight, temperature), yielding richer, quantitative insight such as means, variances, and trends over time.
Option 2: 'Only show whether a unit is defective' describes attribute charts, not variable charts. Attribute charts classify items as defective or non-defective, which is a binary assessment and yields less granular information than measurements.
Option 3: 'Require smaller sample sizes' is not generally true. Variable charts often require sufficient sample sizes to estimate process parameters like the mean and standard deviation; in some cases they may even require larger samples to achieve the same sensitivity, depending on the method used.
Option 4: 'Automatically detect the root cause of defects' is beyond the scope of control charts themselves. Control charts monitor process stability and identify signals or out-of-control conditions, but diagnosing root causes typically requires additional analysis (like cause-and-effect tools or regression studies).
Overall, the essence of the comparison is that measuring a continuous characteristic provides more detailed information about the process, which makes variable charts more informative in that sense.

Compared to attribute control charts, variable control charts are more informative because they:单项选择题

类似问题

To depict average cost per meal, including an upper and lower limit, it would be best to use a:

A small juice bottling startup wants to monitor the consistency of 3-ounce bottles. Five samples of 3 bottles each were measured (in ounces), what are the control limits for the R-chart? Sample Bottle 1 Bottle 2 Bottle 3 1 3 3 3 2 3 3 2 3 2 2 3 4 3 3 3 5 2 3 2

A small juice bottling startup wants to monitor the consistency of 3-ounce bottles. Five samples of 3 bottles each were measured (in ounces), what are the control limits for the R-chart? Sample Bottle 1 Bottle 2 Bottle 3 1 3 3 3 2 3 3 2 3 2 2 3 4 3 3 3 5 2 3 2

What is the main difference between C-chart and P-chart?

What is the main difference between C-chart and P-chart?

Attribute control charts differ from variable control charts because they:

The defect rate for a product has historically been about 2.0%. What are the upper and lower control chart limits if you wish to use a sample size of 100 and 3-sigma limits? All answers are in (LCL,UCL) format.

更多留学生实用工具

智能学习助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单