true
FALSE
The mean and standard deviation. If the data really are normally distributed, all other statistics are redundant.
Not necessarily. You can have True, False and Indeterminate.
False
Data always contains information, but not necessarily facts. Data can be completely made up.
Yes, when you sort data, duplicates are normally included.
It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.It is normally with the data, not on its own sheet.
The form of this question incorportates a false premise. The premise is that the data are normally distributed. Actually, is the sample mean which, under certain circumstances, is normally distributed.
No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.
False. For example; your name is ___________.
Data comprehensiveness is met when all data elements are included in the health record.
FALSE
The data collected does not have to be measurable.
Quality information is included in material master data.
To eliminate duplicates in a dataset, you would change the Unique Values property from "Yes" to "No" in the settings or options of the dataset. By doing this, the data will allow for duplicate values.
false
False