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Data, Normal Distributions and Statistical Inference: Algebra 2 Math Quiz – PDF Download

    Data, Normal Distributions and Statistical Inference – Algebra 2 math quiz

    Ten multiple-choice questions check the main ideas: standard deviation, the 68-95-99.7 rule, z-scores, study design and margin of error. Pick the one best answer for each question, then read the explanation to see the typical mistake.

    Algebra 2Common Core: S-ID.A.4 · S-IC.A.1 · S-IC.B.3 · S-IC.B.4
    🎯 Data, Normal Distributions and Statistical Inference – Algebra 2 math quiz
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    Question 1
    Values are approximately normal with mean 60 and standard deviation 5. What percent of values lie between 55 and 65?
    45505560657075
    Mean 60, standard deviation 5.
    A \(68\%\)
    B \(34\%\)
    C \(95\%\)
    D \(50\%\)
    Question 2
    A student scores 92 on a test with mean 80 and standard deviation 8. What is the z-score?
    A \(z=12\)
    B \(z=0.67\)
    C \(z=-1.5\)
    D \(z=1.5\)
    Question 3
    Every value in a data set with mean 20 and standard deviation 4 is increased by 10. What are the new mean and standard deviation?
    A mean 30, SD 4
    B mean 30, SD 14
    C mean 20, SD 14
    D mean 30, SD 40
    Question 4
    About what percent of a normal distribution with mean 500 and standard deviation 50 lies in the shaded region above 600?
    350400450500550600650
    Mean 500, standard deviation 50; the tail above 600 is shaded.
    A \(2.5\%\)
    B \(5\%\)
    C \(13.5\%\)
    D \(16\%\)
    Question 5
    Researchers randomly assign 50 patients to take either a new medicine or a placebo and compare recovery times. What kind of study is this?
    A a sample survey
    B an experiment
    C an observational study
    D a census
    Question 6
    A study finds that students who eat breakfast have higher grades. The students chose whether to eat breakfast. Which conclusion is justified?
    A Eating breakfast causes higher grades.
    B Eating breakfast is associated with higher grades.
    C Skipping breakfast lowers grades.
    D Every student should eat breakfast.
    Question 7
    A poll reports that 54% of voters support a measure, with a margin of error of 4 percentage points. Which statement is best supported?
    A Exactly 54% of all voters support it.
    B The poll proves that most voters support it.
    C At most 4% of voters oppose the measure.
    D The true percent is plausibly from 50% to 58%.
    Question 8
    A teacher wants to survey 40 of her 800 students. Which method gives a random sample?
    A Survey the first 40 students who enter the cafeteria.
    B Survey the 40 members of the chess club.
    C Number all students and pick 40 numbers with a random number generator.
    D Survey the 40 students who answer an online post.
    Question 9
    The histogram shows 200 simulated sample percents. The shaded bars, the middle 95% of results, run from 31% to 50%. What is the estimated margin of error?
    024681012141618202224262512713292318633453541737132439191941121243123457847924941511153155157Sample percent in favor (n = 100)Samples
    200 simulated samples of 100 people.
    A about 19 percentage points
    B about 40 percentage points
    C about 4.75 percentage points
    D about 9.5 percentage points
    Question 10
    Why do researchers use random assignment in an experiment?
    A It guarantees that the results apply to a whole population.
    B It makes the sample size larger so the margin of error is zero.
    C It makes the groups comparable so differences can be credited to the treatment.
    D It lets participants choose the treatment they prefer.

    🎉 Quiz complete!

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    Remember:

    • Standards S-ID.A.4, S-IC.A.1, S-IC.B.3 and S-IC.B.4: normal models, z-scores, study design and margin of error.
    • Normal data follow the 68-95-99.7 rule: \(68\%\), \(95\%\) and \(99.7\%\) within 1, 2 and 3 standard deviations.
    • The z-score is \(z=\frac{x-\mu}{\sigma}\); the table gives the area to the left of \(z\).
    • Only an experiment with random assignment can support a cause-and-effect conclusion.
    • A margin of error can be estimated as half the width of the middle \(95\%\) of simulated sample results.

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