Instructions: You are encouraged to collaborate with other students on the homework, but it is important that you do your own work. Before working with someone else on the assignment, you should attempt each problem on your own.

  1. Based on the following histogram, how would you classify the distribution of the data?

    1. We can conclude that the data are normal.
    2. We can conclude that the data are not normal.

  1. Based on the following histogram, how would you classify the distribution of the data?

    1. We can conclude that the data are normal.
    2. We can conclude that the data are not normal.

The data set NASDAQ Price and Volume summarizes information on select companies that are traded on NASDAQ. The table gives the symbol for the company, the company’s name, the price of their stock and the number of shares that have been traded (the volume). Use this information to answer question 3.

  1. Which of the following statements is most correct?

    1. Out of the two variables Price and Share Volume, the price shows a more distinct non-normal trend.
    2. Out of the two variables Price and Share Volume, the volume shows a more distinct non-normal trend.
    3. Both variables are clearly normal.

  2. Under normal circumstances, a density curve can drop below the X-axis.

    1. True
    2. False

  3. A normal density curve is symmetric

    1. True
    2. False

  4. A density curve:

    1. Always has a total area under it equal to one
    2. Can cross the horizontal axis up to two times
    3. Both a and b
    4. Neither a nor b

  5. If the z-score for an observed data value is negative, then which of the following must be true?

    1. The observed value is less than zero.
    2. The observed value is less than the mean.
    3. The observed value is left of 13.5% of the data.
    4. The observed value is less than the standard deviation.

  6. According to the 68-95-99.7 rule for normal distributions, about

    1. 68% of all data values fall within two standard deviations of the mean.
    2. 86% of all data values fall within two standard deviations of the mean.
    3. 95% of all data values fall within two standard deviations of the mean.
    4. 99.7% of all data values fall within two standard deviations of the mean.

  7. The time to complete a standardized exam in the BYU-Idaho Testing Center is approximately normal with a mean of 70 minutes and a standard deviation of 10 minutes. Using the 68-95-99.7 rule, approximately what percentage of students will complete the exam in less than one hour? (Give your answer as a percent.) _________%

  8. According to the histogram shown below, the distribution of the data could be described as…

  1. Right skewed
  2. Left skewed
  3. Normal

  1. An observation was drawn from a normally distributed population with mean 74.45 and standard deviation 4.41. If the observed value is 60.56, find the z-score. Give your answer accurate to 3 decimal places. z = _________

  2. Shoe sizes for men in the United States are known to follow a normal distribution. If you calculated the z-score of a man’s shoe size and found the z-score to be 2.9, what would you conclude about his shoe size?

    1. The man has an unusually small shoe size.
    2. The man has a normal shoe size.
    3. The man’s shoe size is 2.9 sizes larger than the mean.
    4. The man has an unusually large shoe size.

The SAT and the ACT are both aptitude tests designed to measure students’ readiness for college. They are different tests with separate scoring systems, but they measure the same abilities. The highest score possible on the SAT Mathematics section is 800. The distribution of SAT scores is normal with mean 500 and standard deviation 100. The highest score possible on the ACT Mathematics section is 36. ACT scores are normally distributed with mean 18 and standard deviation 6. Use this information to answer questions 13 and 14.

  1. Eleanor scores 680 on the Mathematics part of the SAT. Gerald takes the ACT Mathematics test and scores 27. Calculate the z-scores for each student.

Eleanor’s z-score: __________ Gerald’s z-score: ___________

  1. Assuming that both tests measure the same kind of ability, who did better in the Mathematics section? Explain your answer.

The label on the ChocoLux candy bar states that it has a net weight of 87.75 grams. Due to the natural variability in the manufacturing process, the chocolate bars do not all weigh exactly 87.75 grams. In fact, the distribution of weights is approximately normal with a mean of 90 grams and a standard deviation of 0.75 grams. Use this information to answer questions 15 through 19.

  1. Complete this sentence. About 95% of the ChocoLux candy bars will be between.

    1. 89.25 and 90.75 grams.
    2. 88.5 and 91.5 grams.
    3. 87.75 and 92.25 grams.
    4. 87 and 93 grams.

  2. What proportion of the bars actually weigh less than 87.75 grams? In other words, what proportion of the customers is getting less candy than they should? Give your answer accurate to 3 decimal places. (Use the applet) _________

  3. What is the probability that the weight of a randomly selected candy bar will be greater than 91.3 grams? Give your answer accurate to 3 decimal places. (Use the applet) _________

  4. What is the 66th percentile of weights of ChocoLux bars? Give your answer accurate to 3 decimal places. _________

  5. What does it mean that the weight of a ChocoLux candy bar is at the 66th percentile?