Rigor. Task Handout, Algebra 2. Rigor in High School

Transcription

1 Rigor Task Handout, Algebra 2 1

2 Conceptual Understanding Task #1 In order to gain popularity among students, a new pizza place near school plans to offer a special promotion. The cost of a large pizza (in dollars) at the pizza place as a function of time (measured in days since February 10th) may be described as (Assume t only takes whole number values.) a. If you want to give their pizza a try, on what date(s) should you buy a large pizza in order to get the best price? b. How much will a large pizza cost on Feb. 18th? c. On what date, if any, will a large pizza cost 13 dollars? d. Write an expression that describes the sentence "The cost of a large pizza is at least A dollars B days into the promotion," using function notation and mathematical symbols only. e. Calculate C(9) C(8) and interpret its meaning in the context of the problem. f. On average, the cost of a large pizza goes up about 85 cents per day during the first two weeks of the promotion period. Which of the following equations best describes this statement? Source: Available from standards/hsf/if/b/tasks/578 2

3 Conceptual Understanding Task #2 a. How many cubes are needed to build this tower? b. How many cubes are needed to build a tower like this, but 12 cubes high? Justify your reasoning. c. How would you calculate the number of cubes needed for a tower n cubes high? Source: Available from standards/hsf/bf/a/1/tasks/75 3

4 Conceptual Understanding Task #3 Background: Researchers have questioned whether the traditional value of 98.6 F is correct for a typical body temperature for healthy adults. Suppose that you plan to estimate mean body temperature by recording the temperatures of the people in a random sample of 10 healthy adults and calculating the sample mean. How accurate can you expect that estimate to be? In this activity, you will develop a margin of error that will help you to answer this question. Let's assume for now that body temperature for healthy adults follows a normal distribution with mean 98.6 degrees and standard deviation 0.7 degrees. Here are the body temperatures for one random sample of 10 healthy adults from this population: a. What is the mean temperature for this sample? b. If you were to take a different random sample of size 10, would you expect to get the same value for the sample mean? Explain. Below is a dot plot of the sample mean body temperature for 100 different random samples of size 10 from a population where the mean temperature is 98.6 degrees. c. How many of the samples had sample means that were greater than 98.5 degrees and less than 98.7 degrees? d. Based on the dot plot above, if you were to take a different random sample from the population, would you be surprised if you got a sample mean of 98.8 or greater? Explain why or why not. e. Which of the following statements is appropriate based on the dot plot of sample means above? Statement 1: Most random samples of size 10 from the population would result in a sample mean that is within 0.1 degrees of the value of the population mean (98.6). Statement 2: Most random samples of size 10 from the population would result in a sample mean that is within 0.3 degrees of the value of the population mean (98.6). Statement 3: Most random samples of size 10 from the population would result in a sample mean that is within 0.5 degrees of the value of the population mean (98.6). 4

5 The margin of error associated with an estimate of a population mean can be interpreted as the maximum likely difference between the estimate and the actual value of the population mean for a given sample size. f. Explain why 0.45 degrees would be a reasonable estimate of the margin of error when using the sample mean from a random sample of size 10 to estimate the mean body temperature for the population described above. g. If you were to use a random sample of size 20 to estimate the population mean, would you expect the estimate to be closer to or farther from the actual value of the population mean than if you had used a random sample of size 10? Would this mean that the margin of error would be less than or greater than the margin of error for a sample of size 10? h. Below is a dot plot of the sample mean temperature for 100 different random samples of size 20 from a population with an actual mean temperature of 98.6 degrees. Explain how this dot plot supports your answer in part (g). Below is a comparative dot plot that shows sample means for 100 random samples for each of the sample sizes 10, 20, 40, and 100. i. What is a reasonable estimate of the margin of error for samples of size 20? For samples of size 40? For samples of size 100? 5

6 j. How is the margin of error related to sample size? In practice, we don t take many random samples from a population and we don t know the actual value of the population mean, so we need a way to estimate the margin of error from a single sample. An estimate of the margin of error based on a single random sample can be obtained by evaluating the following expression estimated margin of error = 2 " # where s is the sample standard deviation and n is the sample size. k. Using the sample at the beginning of this activity, what is the estimated margin of error? l. Suppose that a random sample of 50 healthy adults resulted in a sample mean body temperature of x = 98.2 degrees and a sample standard deviation of s = 0.65 degrees. Would you consider this evidence that the actual mean temperature for healthy adults is in fact less than 98.6 degrees? (Hint: what is the estimated margin of error?) Source: Available from standards/hss/ic/b/4/tasks/1956 6

7 Procedural Skills and Fluency Task #1 Using the graphs below, sketch a graph of the function s x = f x + g x. Source: Available from standards/hsf/bf/a/1/tasks/230 7

8 Procedural Skills and Fluency Task #2 Given below are the graphs of two lines, y = 0.5x + 5 and y = 1.25x + 8 and several regions and points are shown. Note that C is the region that appears completely white in the graph. a. For each region and each point, write a system of equations or inequalities, using the given two lines, that has the region or point as its solution set and explain the choice of,, or = in each case. (You may assume that the line is part of each region.) b. The coordinates of a point within a region have to satisfy the corresponding system of inequalities. Verify this by picking a specific point in each region and showing that the coordinates of this point satisfy the corresponding system of inequalities for that region. c. In the previous part, we checked that specific coordinate points satisfied our inequalities for each region. Without picking any specific numbers, use the same idea to explain how you know that all points in the 3rd quadrant must satisfy the inequalities for region A. Source: Available from standards/hsa/rei/d/12/tasks/1205 8

9 Procedural Skills and Fluency Task #3 Source: Available from standards/hsa/sse/b/3/tasks/919 9

10 Application Task #1 An important example of a model often used in biology or ecology to model population growth is called the logistic growth model. The general form of the logistic equation is In this equation t represents time, with t = 0 corresponding to when the population in question is first measured; K, P 0 and r are all real numbers with K being called the ''carrying capacity'' while r is a growth rate and is normally a positive number. a. Explain why the value P 0 represents the population when it is first measured. b. Explain why, as time elapses, the population stabilizes, approaching the value K. c. Explain how the behavior of P changes if the growth rate r is increased or decreased. d. Below is the graph of a particular logistic function P, showing the growth of a bacteria population. Using the graph, identify P 0 and K. Using the values of P 0 and K from the previous part, sketch the graph of the logistic function Q given by Note that Q is the same as P except that the growth rate r has been doubled. Source: Available from standards/hsf/if/b/4/tasks/800 10

11 Application Task #2 On June 1, a fast growing species of algae is accidentally introduced into a lake in a city park. It starts to grow and cover the surface of the lake in such a way that the area covered by the algae doubles every day. If it continues to grow unabated, the lake will be totally covered and the fish in the lake will suffocate. At the rate it is growing, this will happen on June 30. a. When will the lake be covered half- way? b. On June 26, a pedestrian who walks by the lake every day warns that the lake will be completely covered soon. Her friend just laughs. Why might her friend be skeptical of the warning? c. On June 29, a clean- up crew arrives at the lake and removes almost all of the algae. When they are done, only 1% of the surface is covered with algae. How well does this solve the problem of the algae in the lake? d. Write an equation that represents the percentage of the surface area of the lake that is covered in algae as a function of time (in days) that passes since the algae was introduced into the lake if the cleanup crew does not come on June 29. Source: Available from standards/hsf/bf/a/1/tasks/533 11

12 Application Task #3 Sometimes hotels, malls, banks, and other businesses will present a display of a large, clear container holding a large number of items and ask customers to estimate some aspect of the items in the container as a contest. In some cases, contestants are allowed to sample items from the jar; but usually, contestants simply have to estimate based on visual inspection of the jar. A local bank is running such a contest, but one of the bank employees is concerned. The bank has placed 1,500 marbles in a very large, clear jar near the customer entrance. Since the bank's logo's colors are blue and white, some of the 1,500 marbles are blue and the rest are white. In order to enter the contest, a customer must fill in an entry form with his/her estimate for the percentage of blue marbles in the jar and then place the entry form in a ballot box. A random drawing will be held and the first entry drawn that correctly estimates the percentage of blue marbles in the whole jar will receive a $100 gift certificate. The entry form says the following: Name: Phone: I think that 1 out of every marbles in this jar is blue. (Fill in the blank with a "2", "3", "4", "5", or "6".) Note that for the ease of the contestants, the estimate is to be stated as "1 out of every 2" instead of "50%," "1 out of every 3" instead of "33.3%," and so on. Now the concerned employee is fairly confident that the true proportion of blue marbles is 25% (1 out of every 4), but he has heard other employees (some of whom are responsible for the contest) state a true proportion value that is different. The employee is worried enough that he wants to investigate but he certainly does not want to empty the jar and inspect all 1,500 marbles! He decides to select a random sample of marbles from the jar and calculate the percentage of blue marbles in his sample. The percentage of blue marbles in the random sample will be his estimate for the actual percentage of blue marbles in the jar. He selects a random sample of 5 marbles, and only 1 of the marbles is blue. Based on this sample which gives him an estimate of 20% (1 out of 5) blue marbles, the employee is concerned, but he decides to stick with his original claim of 25% blue marbles in the jar. However, he is now inspired to take even larger samples. He records his results in the table below (additional spaces will be filled in eventually). 12

13 Sample Number Sample Size Total Number of Blue Marbles in Sample Percentage of Blue Marbles in Sample /5 = 20% /12 = a. His second random sample consists of 12 marbles. Only 2 of the marbles are blue. (This is recorded in the table above.) Compute the sample percentage of blue marbles for this sample and record it in the table. Based on this sample, do you think the employee should stick with his original claim of 25% blue marbles in the jar, or should he come up with a different estimate? Explain why you think this. b. He then takes a random sample of 20 marbles (Sample 3). Five of the 20 marbles are blue. Compute the sample percentage of blue marbles for this sample and record it in the table. Based on this sample, do you think the employee should stick with his original claim of 25% blue marbles in the jar, or should he come up with a different estimate? Explain why you think this. c. He then takes a random sample of 32 marbles (Sample 4). Eight of the marbles are blue. Enter this information on the table, and compute the sample percentage of blue marbles for this sample. Based on this sample, do you think the employee should stick with his original claim of 25% blue marbles in the jar, or should he come up with a different estimate? Explain why you think this. At this point, the employee feels compelled to talk to the bank manager who is responsible for the contest. The bank manager is a little surprised by the results, but she is not overly concerned. She is quite confident that the true proportion of blue marbles is 33.3%, or 1 in every 3 (i.e., 5,000 blue, 10,000 white marbles), and she asks the concerned employee to go back and look at an even larger random sample of marbles. d. He then takes a random sample of 40 marbles (Sample 5) and 13 of the marbles are blue. Add this information to the table. Based on this sample, and mindful that the correct, true proportion of blue marbles in the jar is 1 in 2, or 1 in 3, or 1 in 4, etc., do you think the employee should challenge the bank manager's claim that 1 in every 3 marbles is blue? Explain why you think this. 13

14 e. Here are the results of some additional random samples. Record each of these in the table and compute the blue marble percentage for each sample. Sample 6, sample size = 55, 17 blue. Sample 7, sample size = 65, 21 blue. Sample 8, sample size = 75, 24 blue. Sample 9, sample size = 85, 27 blue. f. Based on the random sample of 85 marbles, and mindful that the correct, true proportion of blue marbles in the jar is 1 in 2, or 1 in 3, or 1 in 4, etc., do you think that the employee should challenge the bank manager's claim that 1 in every 3 marbles is blue? Explain why you think this. g. Keeping in mind that the samples were random samples, and assuming that the bank manager's claim is correct that the true proportion of blue marbles is 33.3% (1 in every 3), did the employee get more accurate estimates from the small samples or from the large samples? Source: Available from standards/hss/ic/b/4/tasks/