AP Statistics · Unit 1 · Topic 1.1

Introducing Statistics Study Lab

Statistics is the science of learning from data in the presence of variability. A good study starts with an investigative question, collects data from a sample, and uses statistics to say something about the whole population. Sort questions, then take random samples and watch the statistic bounce around the parameter.

1. Ask a question the data can answer

Statistics starts with a question that expects variability in the answers. Sort each question, then sample from a population to see why a statistic changes from sample to sample while the parameter stays fixed.

Sorting game: statistical question or not?

A statistical question anticipates variability: answering it needs data from many individuals (or many repeated measurements) that will not all be the same.

Population, sample, parameter, statistic

The population below is all 1,000 students at a school. We know the truth because this is a simulation. In real life you only see the sample.

Variable
Larger samples give statistics that vary less around the parameter.

Sample means from every sample

Each dot = one sample's statisticPopulation parameter
Parameter μ (population)
Latest statistic x̄
Samples taken
Spread of the statistics (SD)

2. Key ideas

Variability

Why statistics exists

Individuals differ, measurements differ, and samples differ. If everything were identical, one observation would tell you everything. Statistics gives tools for drawing conclusions when values vary.

Questions

Statistical questions

A statistical question anticipates variability in the data that answer it. “How tall are 10th graders?” is statistical. “How tall is Ana?” is not.

Investigation

The investigative cycle

Ask a question, collect data, analyze the data, then interpret the results in context. The interpretation often leads to a new question.

Who

Population vs. sample

The population is the entire group of interest. A sample is the part of the population you actually collect data from.

Numbers

Parameter vs. statistic

A parameter describes a population (μ, p, σ). A statistic describes a sample (x̄, p̂, s). Memory trick: Parameter goes with Population, Statistic with Sample.

Chance

Sampling variability

Different random samples give different statistics. That variability is predictable, which is what makes inference later in the course possible.

3. Worked examples

Identify the pieces of a study. AP questions often ask for exactly these.

SituationPopulationSampleParameterStatistic
A poll of 1,200 U.S. adults finds 41% approve of a new law.All U.S. adultsThe 1,200 adults polledProportion of all U.S. adults who approve (p)p̂ = 0.41
A factory tests 40 bulbs from today's run; mean life is 1,012 hours.All bulbs made todayThe 40 tested bulbsMean life of all bulbs today (μ)x̄ = 1,012 hours
A teacher surveys 25 of her 150 students; 8 own a pet rabbit.Her 150 studentsThe 25 surveyedProportion of all 150 with a rabbitp̂ = 8/25 = 0.32
The census reports the median age of all residents is 38.9 years.All residentsNone (a census)Median age = 38.9 is a parameterNo statistic needed

4. On the FRQ

How to earn the points

  • Identify the population and the parameter in context: “the proportion of all registered voters in the county who support the park.”
  • When asked for a statistic, give its symbol, value, and meaning: “p̂ = 0.41 is the proportion of the 1,200 sampled adults who approve.”
  • Explain why a statistic is not exactly equal to a parameter by naming sampling variability, not “mistakes.”
  • Write investigative questions that name the population and the variable, and that anticipate variability.

Common mistakes

  • Calling the sample the population. The population is the larger group you want to learn about.
  • Mixing up symbols. μ and p are parameters; x̄ and p̂ are statistics.
  • Thinking a different result in a second sample means the first was wrong. Statistics vary naturally.
  • Writing a question about one individual (“How many hours did I study?”) when a statistical question is required.

5. Practice questions

AP-style multiple choice. Pick an answer to see the explanation.

0 / 0 correct

6. Key terms

The vocabulary for topic 1.1. Read the list, flip through flashcards, or quiz yourself. For every term in the unit, see the Unit 1 terminology guide.