Data Analysis Flashcards
7 cards from real DSAT practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Analysis flashcards as text
A sample of 10 test scores has a mean of 75 and a standard deviation of 8. A student scores 91. Approximately how many standard deviations above the mean is this score?
Answer: 2
(91 − 75) / 8 = 16 / 8 = 2 standard deviations above the mean.
Among 200 cat owners surveyed, 120 also own dogs. What is the probability that a randomly selected cat owner from this group also owns a dog?
Answer: 0.6
120 / 200 = 0.60, so there is a 60% probability that a cat owner also owns a dog.
A scatterplot shows an exponential pattern, but a student fits a linear model. What is the likely consequence?
Answer: Predictions will be systematically biased for large x values
Fitting a linear model to exponential data produces systematic bias and non-random residual patterns.
In a normally distributed dataset, approximately what percentage of values fall within one standard deviation of the mean?
Answer: 68%
The empirical rule states that approximately 68% of values in a normal distribution fall within one standard deviation of the mean.
A two-way table shows 40 men and 60 women surveyed. Of the men, 25 exercise daily; of the women, 30 exercise daily. Which group has a higher relative frequency of daily exercisers?
Answer: Men, because 25/40 > 30/60
Men: 25/40 = 62.5%; Women: 30/60 = 50%, so men have a higher relative frequency.
A researcher randomly assigns participants to receive a vitamin supplement or a placebo. After 3 months, the supplement group shows significantly better energy levels. What type of study is this?
Answer: Randomized controlled experiment
Random assignment to treatment and control groups defines a randomized controlled experiment.
A set of 6 data values has a mean of 12. One value of 6 is removed. What is the new mean of the remaining 5 values?
Answer: 13.2
Original sum = 12 × 6 = 72; removing 6 leaves 66; new mean = 66 / 5 = 13.2.