State the repeated-sampling interpretation.
Open the source ↗How to study this source
How do we reason under uncertainty?
State the repeated-sampling interpretation.
What can a small dataset tell me, and what can it not?
Read the known-population-standard-deviation assumptions before using this interval.
Ideas and questions
Read background definitions when a term blocks the argument. Then return to the source and reconstruct its claim in your own words.
Read alongside, read against
Statistics: centre
Barbara Illowsky · Susan Dean. Compare assumptions, evidence and scope with the source above. These are editorial companions, not necessarily direct responses.
Statistics: spread
Barbara Illowsky · Susan Dean. Compare assumptions, evidence and scope with the source above. These are editorial companions, not necessarily direct responses.
Probability: terminology
Barbara Illowsky · Susan Dean. Compare assumptions, evidence and scope with the source above. These are editorial companions, not necessarily direct responses.
Probability: independent and mutually exclusive events
Barbara Illowsky · Susan Dean. Compare assumptions, evidence and scope with the source above. These are editorial companions, not necessarily direct responses.
Probability: two basic rules
Barbara Illowsky · Susan Dean. Compare assumptions, evidence and scope with the source above. These are editorial companions, not necessarily direct responses.