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Decide what uncertain action or observation is being studied, such as rolling one die, checking tomorrow’s weather, or drawing one card. Separate the repeatable setup from the unknown result it produces.
Use what you learned in the previous lesson to solve real-world problems.
Build a sample space by listing every result that could happen, with no result fitting in two places at once. Check simple examples for missing outcomes and overlapping labels.
Check what you understood with a short quiz.
Choose how detailed each outcome needs to be for the question at hand. Compare choices like recording each coin flip as H/T versus recording only the total number of heads.
Tell the difference between one exact result and an event that may contain many results. For a listed sample space, mark which outcomes make statements like “roll an even number” or “get a red card” true.
Translate plain-language chance claims into event notation such as P(rain tomorrow) = 0.30. Practice naming the event clearly so the probability statement says exactly what is being measured.
Place probabilities on the scale from 0 to 1, where 0 means impossible and 1 means certain. Compare values like 0.1, 0.5, and 0.9 as unlikely, even chance, and very likely.
Move between fractions, decimals, and percents without changing the chance being described. Recognize that 1/4, 0.25, and 25% are the same probability, while 25 is not a valid probability on the 0-to-1 scale.
When a finite sample space has outcomes that are all equally likely, find an event’s probability by dividing matching outcomes by total outcomes. Use already-listed outcomes so the focus stays on probability, not advanced counting.
Turn repeated observations into an estimated probability using relative frequency, such as wins divided by games played. Reason about why an estimate from data can change when more trials are added.
Reject probability claims that fall outside the valid scale, such as negative chances or 140%. Distinguish a low probability from impossibility and a high probability from certainty.
Review this chapter with practice based on your mistakes.