Practice Test 38 - Statistics and Probability

20 questions. Answer them in any order, then submit to see your score and every explanation.

  1. A random sample of 150 students recorded whether they prefer to study in the morning or evening and whether they usually study alone or in a group. Using the two-way table, what is P(Morning∣Group)P(\text{Morning}\mid\text{Group})? Give your answer as a fraction. Two-way table (counts): - Group & Morning: 18 - Group & Evening: 42 - Alone & Morning: 45 - Alone & Evening: 45 - Row totals: Group = 60, Alone = 90 - Column totals: Morning = 63, Evening = 87 - Grand total: 150
  2. A teacher drops the class's lowest test score, an outlier. What happens?
  3. A coach wants to know whether listening to music during warm-ups improves free-throw percentage. Players choose for themselves whether to listen to music during warm-ups for a week, and the coach records each player's free-throw percentage at the end of the week. Which type of study is described?
  4. A machine produces metal rods whose lengths are approximately normal (roughly symmetric, bell-shaped) with mean μ=50.0\mu = 50.0 cm and standard deviation σ=1.0\sigma = 1.0 cm. Approximately what percent of rods have lengths between 49.0 cm and 52.0 cm? (Use the empirical rule.)
  5. In a randomized experiment, 60 students were randomly assigned by shuffling identical cards (30 labeled A and 30 labeled B) to either Treatment A (a new study app) or Treatment B (a standard app). After one week, each student took the same 20-question quiz. The mean score for Treatment A was 16.4 and for Treatment B was 14.9, so the observed difference in means was 16.4−14.9=1.516.4-14.9=1.5 points (A − B). To test whether this difference could be due to chance, the researcher performed a randomization test by keeping all 60 quiz scores fixed and repeatedly shuffling the A/B labels 2000 times under "no treatment effect." In the 2000 shuffles, 18 produced a difference in means of at least +1.5+1.5 points (A − B). Which conclusion is most reasonable about the treatment effect (A − B)?
  6. A tech company is deciding how to handle login attempts that look suspicious. Internal data show: - On a typical day, 0.5%0.5\% of login attempts are truly malicious. - The detection system flags 92%92\% of malicious attempts. - It also falsely flags 4%4\% of legitimate attempts. They are choosing a policy for flagged attempts. The goal is to minimize the chance that a malicious attempt is allowed through, while avoiding treating every user as malicious. Which strategy is most reasonable given the probabilities? - Strategy 1: Allow flagged attempts but send a warning email. - Strategy 2: Require a second factor (2FA) only for flagged attempts. - Strategy 3: Block all flagged attempts immediately.
  7. A pet food company wants to estimate the proportion of all customers who are satisfied with a new dog food formula. From the company's customer list, it randomly selects 120 customers to survey; 90 say they are satisfied. Why might the company still expect the sample result to differ from the true population proportion?
  8. A survey asks a randomly selected student how many siblings they have. Suppose the only possible responses in this group are 0, 1, or 2 siblings, with probabilities P(0)=0.30P(0)=0.30, P(1)=0.50P(1)=0.50, and P(2)=0.20P(2)=0.20. Let XX be the number of siblings reported. Which graph represents the distribution of XX?
  9. A streaming service tracks preferences. Event AA is "a randomly selected user watches comedy," and event BB is "a randomly selected user watches documentaries." The data show P(A)=0.44P(A)=0.44, P(B)=0.36P(B)=0.36, and P(A∩B)=0.12P(A\cap B)=0.12. What is the probability that AA or BB occurs, where "or" is inclusive (comedy or documentaries or both)?
  10. A survey of 60 commuters shows that 24 ride the bus (event BB). Of those who ride the bus, 9 also commute before 7 a.m. (event A∩BA \cap B), where event AA is "a commuter travels before 7 a.m." Based on the information given, what is P(A∣B)P(A \mid B)? Give your answer as a simplified fraction.
  11. Lottery ticket costs $4. Payouts: $1000 with probability .001, $20 with probability .01, otherwise $0. Find expected net gain.
  12. A teacher uses the fitted line y=92−3xy = 92 - 3x to model a student's quiz score, where xx is the number of questions missed (questions) and yy is the quiz score (points). Which interpretation of the slope is correct? Include units in your interpretation.
  13. A spinner is divided into 5 equal sectors labeled A,B,C,D,EA,B,C,D,E, so each outcome is equally likely. Define the random variable XX by the mapping: A↦0A\mapsto 0, B↦0B\mapsto 0, C↦1C\mapsto 1, D↦2D\mapsto 2, E↦5E\mapsto 5. What is the expected value of XX?
  14. A fair coin is flipped 4 times; all 1616 outcomes are equally likely. Define the random variable XX as the number of times two consecutive flips are both heads (counting overlaps). For example, HHHT\text{HHHT} has two occurrences of consecutive heads (positions 1–2 and 2–3), so X=2X=2. The mapping by outcome type includes: TTTT→0\text{TTTT}\to 0, HHTT→1\text{HHTT}\to 1, HHHT→2\text{HHHT}\to 2, HHHH→3\text{HHHH}\to 3, etc. What is the expected value of XX based on this theoretical model?
  15. A community group records the number of minutes spent exercising per day (minutes) and the number of hours spent watching TV per day (hours) for several adults. A scatter plot shows a roughly linear downward trend, and technology reports r=−0.54r=-0.54. Which statement best interprets the value of rr for the relationship between exercise minutes and TV hours?
  16. A game booth claims its prize wheel lands on Blue with probability P(Blue)=0.25P(\text{Blue})=0.25. You watch 40 spins and see Blue come up 22 times. A student runs 100 simulated sets of 40 spins using the model P(Blue)=0.25P(\text{Blue})=0.25; in those simulations, 0 out of 100 sets had 22 or more Blues. Would this result cause you to question the model? Why? (Treat "as extreme or more extreme" as getting ≥22\ge 22 Blues in 40 spins.)
  17. The daily number of support tickets received over 11 days was: 31, 32, 33, 33, 34, 34, 35, 35, 36, 37, 60 Which measure is most affected by the outlier 60 tickets?
  18. According to S={1,2,3,4,5,6}S=\{1,2,3,4,5,6\} for rolling one standard number cube, event A={x∈S∣x is odd}A=\{x\in S\mid x\text{ is odd}\} and event B={x∈S∣x≥4}B=\{x\in S\mid x\ge 4\}. Which set of outcomes represents event BB?
  19. A store tracked the number of minutes customers spent waiting in line on two different days. Data Set A (Day 1): 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8 Data Set B (Day 2): 1, 2, 2, 3, 3, 4, 4, 6, 7, 9, 12, 18 Data Set A is roughly symmetric. Data Set B is right-skewed with a few large values. Which measures are most appropriate for comparing the typical value and variability of these distributions?
  20. A community center wants to estimate the population parameter pp, the proportion of all local residents who would attend a free weekend class. A random sample of 300 residents found that 147 said "yes," so the sample statistic is p^=147/300=0.49\hat p = 147/300 = 0.49 (49%). Students used simulation to model repeated random sampling of size 300. Their summary said: "In 1,000 simulated samples, about 95% of the simulated sample proportions were within 0.06 of 0.49." What does the margin of error mean in context?

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