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MATH 221 Final Exam
1. Explain the difference between a population and a sample. In
which of these is it important to distinguish between the two in order
to use the correct formula? mean; median; mode; range; quartiles;
variance; standard deviation.
2. The following numbers represent theweights in pounds of six 7-
year old children in Mrs. Jones’ 2nd grade class.
{25, 60, 51, 47, 49, 45}
Find the mean; median; mode; range; quartiles; variance; standard
deviation.
3. If the variance is 846, what is thestandard deviation?
4. If we have thefollowing data
34, 38, 22, 21, 29, 37, 40, 41, 22, 20, 49, 47, 20, 31, 34, 66
Draw a stem and leaf. Discuss the shapeof the distribution.
5. What typeof relationship is shown by this scatter plot?
6. What values can r take in linear regression? Select 4 values in this
interval and describe how they would be interpreted.
7. Does correlation imply causation?
8. What do we call the r value.
9. To predict theannual rice yield in pounds weuse the equation
yˆ = 859 + 5.76×1 + 3.82×2 , where x1 represents the number of acres
planted (in thousands) and where x2 represents the number of acres
harvested (in thousands) and where r2 = .94.
a) Predict the annual yield when 3200 acres are planted and 3000
are harvested.
b) Interpret theresults of this r2 value.
c) What do we call ther2 value?
10. The Student Services office did a survey of 500 students in which
they asked if the student is part-timeor full-time. Another question
asked whether the student was a transfer student. Theresults follow.
Transfer Non-Transfer Row Totals
Part-Time 100 110 210
Full-Time 170 120 290
Column Totals 270 230 500
a) If a student is selected at random (from this group of 500
students), find theprobability that the student is a transfer student. P
(Transfer)
b) If a student is selected at random (from this group of 500
students), find theprobability that the student is a part time student.
P (Part Time)
c) If a student is selected at random (from this group of 500
students), find theprobability that the student is a transfer student
and a part time student. P(transfer ∩ part time).
d) If a student is selected at random (from this group of 500
students), find theprobability that the student is a transfer student if
we know he is a part time student. P(transfer | part time).
e) If a student is selected at random (from this group of 500
students), find theprobability that the student is a part time given he
is a transfer student. P(part time| transfer)
f) Are the events part time and transfer independent? Explain
mathematically.
g) Are the events part time and transfer mutually exclusive. Explain
mathematically.
Solution:
11. A shipment of 40 television sets contains 3 defective units. How
many ways can a vending company can buy five of these units and
receive no defective units?
12. How do you recognize a discrete distribution?
13. The random variable X represents theannual salaries in dollars of
a group of teachers. Find theexpected value E(X).
X = {$35,000; $45,000; $55,000}.
P(35,000) = .4; P(45,000) = .3; P(55,000) = .3
14. How do you recognize a binomial experiment?
15. An advertising agency is hired to introduce a new product. The
agency claims that after its campaign 61% of all consumers are
familiar with the product. We ask 7 randomly selected customers
whether or not they are familiar with theproduct.
a) Is this a binomial experiment? Explain how you know.
b) Use thecorrect formula to find the probability that, out of 7
customers, exactly 4 are familiar with the product. Show your
calculations.
16. How do you recognize a Poisson experiment?
17. The mean number of cars per minute going through the
Eisenhower turnpikeautomatic toll is about 7. Find theprobability that
exactly 3 will go through in a given minute using the correct table,
formula, or Excel function.
18. How do you recognize a normal distribution?
19. Label the following as continuous or discrete distributions.
a) The lengths of fish in a certain lake.
b) The number of fish in a certain lake.
c) The diameter of 15 trees in a forest.
d) How many trees are on a farmer’s acre.
20. Jack weighs 160 pounds and his sister weighs 110 pounds. If the
mean weight for men his age is 175 with a standard deviation of 14
pounds and the mean weight for women is 145 with a standard
deviation of 10 pounds, determine whose weight is closer to
“average.” Write your answer in terms of z-scores and areas under
the normal curve.
21. On a dry surface, thebraking distance (in meters) of a certain car
is a normal distribution with mu = μ = 45.1 m and sigma = σ = 0.5
(a) Find the braking distance that corresponds to z = 1.8
(b) Find the braking distance that represents the91st percentile.
(c) Find the z-score for a braking distance of 46.1 m
(d) Find the probability that thebraking distance is less than or
equal to 45 m
(e) Find the probability that thebraking distance is greater than
46.8 m
(f) Find the probability that thebraking distance is between 45 m
and 46.8 m.
22. A drug manufacturer wants to estimate the mean heart rate for
patients with a certain heart condition. Because the condition is rare,
the manufacturer can only find 14 peoplewith the condition currently
untreated. From this small sample, the mean heart rate is 101 beats
per minute with a standard deviation of 8.
(a) Find a 99% confidence interval for the truemean heart rate of all
peoplewith this untreated condition. Show your calculations.
(b) Interpret this confidence interval and write a sentence that
explains it.
23. Determine theminimum required sample size if you want to be
80% confident that the sample mean is within 2 units of the population
mean given sigma = 9.4. Assume thepopulation is normally
distributed.
24. A social service worker wants to estimate the trueproportion of
pregnant teenagers who miss at least one day of school per week on
average. The social worker wants to be within 5% of the true
proportion when using a 90% confidence interval. A previous study
estimated the population proportion at 0.21.
(a) Using this previous study as an estimate for p, what sample size
should be used?
(b) If the previous study was not available, what estimate for p
should be used?
25. Supposeyou are performing a hypothesis test on aclaim about a
population proportion. Usingan alpha = .04 and n = 90, what two
critical values determine the rejection region if thenull hypothesis is
Ho: p = 0.54?
(a) ± 1.96 (b) =± 2.05 (c) ± 2.33 (d) none of these
26. A restaurant claims that its speed of service time is less than 15
minutes. A random selection of 49 service times was collected, and
their mean was calculated to be 14.5 minutes. Their standard
deviation is 2.7 minutes. Is there enough evidence to support the
claim at alpha = .07. Perform an appropriatehypothesis test, showing
each important step. (Note:1st Step:Write Ho and Ha; 2nd Step:
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MATH 221 Final Exam Guide (40

  • 1. MATH 221 Final Exam/MATH221 Click Link Below To Buy: https://hwaid.com/shop/math-221-final-exam-1-explain-the-difference-between-a-population- and-a-sample-in-which-of-these-is-it-important-to-distinguish-between-the-two-in-order-to-use- the-correct-formula-mean-median-mo/ Contact Us: hwaidservices@gmail.com MATH 221 Final Exam 1. Explain the difference between a population and a sample. In which of these is it important to distinguish between the two in order to use the correct formula? mean; median; mode; range; quartiles; variance; standard deviation. 2. The following numbers represent theweights in pounds of six 7- year old children in Mrs. Jones’ 2nd grade class. {25, 60, 51, 47, 49, 45} Find the mean; median; mode; range; quartiles; variance; standard deviation. 3. If the variance is 846, what is thestandard deviation? 4. If we have thefollowing data 34, 38, 22, 21, 29, 37, 40, 41, 22, 20, 49, 47, 20, 31, 34, 66 Draw a stem and leaf. Discuss the shapeof the distribution. 5. What typeof relationship is shown by this scatter plot? 6. What values can r take in linear regression? Select 4 values in this interval and describe how they would be interpreted. 7. Does correlation imply causation? 8. What do we call the r value. 9. To predict theannual rice yield in pounds weuse the equation yˆ = 859 + 5.76×1 + 3.82×2 , where x1 represents the number of acres planted (in thousands) and where x2 represents the number of acres harvested (in thousands) and where r2 = .94.
  • 2. a) Predict the annual yield when 3200 acres are planted and 3000 are harvested. b) Interpret theresults of this r2 value. c) What do we call ther2 value? 10. The Student Services office did a survey of 500 students in which they asked if the student is part-timeor full-time. Another question asked whether the student was a transfer student. Theresults follow. Transfer Non-Transfer Row Totals Part-Time 100 110 210 Full-Time 170 120 290 Column Totals 270 230 500 a) If a student is selected at random (from this group of 500 students), find theprobability that the student is a transfer student. P (Transfer) b) If a student is selected at random (from this group of 500 students), find theprobability that the student is a part time student. P (Part Time) c) If a student is selected at random (from this group of 500 students), find theprobability that the student is a transfer student and a part time student. P(transfer ∩ part time). d) If a student is selected at random (from this group of 500 students), find theprobability that the student is a transfer student if we know he is a part time student. P(transfer | part time). e) If a student is selected at random (from this group of 500 students), find theprobability that the student is a part time given he is a transfer student. P(part time| transfer) f) Are the events part time and transfer independent? Explain mathematically. g) Are the events part time and transfer mutually exclusive. Explain mathematically. Solution: 11. A shipment of 40 television sets contains 3 defective units. How many ways can a vending company can buy five of these units and receive no defective units? 12. How do you recognize a discrete distribution? 13. The random variable X represents theannual salaries in dollars of a group of teachers. Find theexpected value E(X). X = {$35,000; $45,000; $55,000}. P(35,000) = .4; P(45,000) = .3; P(55,000) = .3 14. How do you recognize a binomial experiment? 15. An advertising agency is hired to introduce a new product. The agency claims that after its campaign 61% of all consumers are familiar with the product. We ask 7 randomly selected customers whether or not they are familiar with theproduct. a) Is this a binomial experiment? Explain how you know. b) Use thecorrect formula to find the probability that, out of 7 customers, exactly 4 are familiar with the product. Show your calculations. 16. How do you recognize a Poisson experiment? 17. The mean number of cars per minute going through the Eisenhower turnpikeautomatic toll is about 7. Find theprobability that exactly 3 will go through in a given minute using the correct table, formula, or Excel function.
  • 3. 18. How do you recognize a normal distribution? 19. Label the following as continuous or discrete distributions. a) The lengths of fish in a certain lake. b) The number of fish in a certain lake. c) The diameter of 15 trees in a forest. d) How many trees are on a farmer’s acre. 20. Jack weighs 160 pounds and his sister weighs 110 pounds. If the mean weight for men his age is 175 with a standard deviation of 14 pounds and the mean weight for women is 145 with a standard deviation of 10 pounds, determine whose weight is closer to “average.” Write your answer in terms of z-scores and areas under the normal curve. 21. On a dry surface, thebraking distance (in meters) of a certain car is a normal distribution with mu = μ = 45.1 m and sigma = σ = 0.5 (a) Find the braking distance that corresponds to z = 1.8 (b) Find the braking distance that represents the91st percentile. (c) Find the z-score for a braking distance of 46.1 m (d) Find the probability that thebraking distance is less than or equal to 45 m (e) Find the probability that thebraking distance is greater than 46.8 m (f) Find the probability that thebraking distance is between 45 m and 46.8 m. 22. A drug manufacturer wants to estimate the mean heart rate for patients with a certain heart condition. Because the condition is rare, the manufacturer can only find 14 peoplewith the condition currently untreated. From this small sample, the mean heart rate is 101 beats per minute with a standard deviation of 8. (a) Find a 99% confidence interval for the truemean heart rate of all peoplewith this untreated condition. Show your calculations. (b) Interpret this confidence interval and write a sentence that explains it. 23. Determine theminimum required sample size if you want to be 80% confident that the sample mean is within 2 units of the population mean given sigma = 9.4. Assume thepopulation is normally distributed. 24. A social service worker wants to estimate the trueproportion of pregnant teenagers who miss at least one day of school per week on average. The social worker wants to be within 5% of the true proportion when using a 90% confidence interval. A previous study estimated the population proportion at 0.21. (a) Using this previous study as an estimate for p, what sample size should be used? (b) If the previous study was not available, what estimate for p should be used? 25. Supposeyou are performing a hypothesis test on aclaim about a population proportion. Usingan alpha = .04 and n = 90, what two critical values determine the rejection region if thenull hypothesis is Ho: p = 0.54? (a) ± 1.96 (b) =± 2.05 (c) ± 2.33 (d) none of these
  • 4. 26. A restaurant claims that its speed of service time is less than 15 minutes. A random selection of 49 service times was collected, and their mean was calculated to be 14.5 minutes. Their standard deviation is 2.7 minutes. Is there enough evidence to support the claim at alpha = .07. Perform an appropriatehypothesis test, showing each important step. (Note:1st Step:Write Ho and Ha; 2nd Step: Related