Related Questions

Which of the following is/are the advantages of using a control chart for inspection? (i) A control chart indicates whether the process is in control or out of control. (ii) A control chart determines process variability. (iii) A control chart ensures product quality. (iv) Scrap or percentage reduction can be reduced by taking the necessary actions in time against the warnings indicated by control charts. (v) Control charts build up the reputation of the organization through customer’s satisfaction. (vi) The control chart can detect the unusual variations taking place in a process.
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
Statement I $$overline X $$ chart, and chart and R chart are the techniques used for product control under statistical quality control.
Statement II Operating characteristic curve helps determine whether a particular acceptance sampling plan meets both the product's and the consumer's risk requirements.
In case of variables charts, for a process to be in control bothx chart and R chart should be in control.
Suppose, you got a situation where you find that your linear regression model is under fitting the data. In such situation which of the following options would you consider?
1. I will add more variables
2. I will start introducing polynomial degree variables
3. I will remove some variables
Which of this stands correct for the relation between the ARL for a shewhart control chart and the individual control chart ARL?
What is the Upper control limit for the standardized control chart for u-chart with variable sample size?
The values of control limits for the standardized c-chart are different from the control limits of the standardized p-chart.
Which chart should be interpreted first when both, x chart, and R chart are indicating a non-random behavior?
Charts can be
1. pictorial
2. organisation, flow chart
3. suspense chart
4. strip tease chart