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Learning Math Home
Patterns, Functions, and Algebra
Session 1 Part A Part B Part C Part D Homework
Data Site Map
Session 1 Materials:



Solutions for Session 1, Part B

See solutions for Problems: B1 | B2 | B3 | B4 | B5 | B6| B7 | B8| B9

Problem B1

Answers will vary. Here is one sample data set and the solutions to problems (a)-(e).

Measurement Instrument

Room Length (in Inches)














The five measurements obtained using the ruler are not all exactly the same. The most likely cause of these differences is the method of measurement, such as the way the ruler was laid out.


The five measurements obtained using the yardstick are not all exactly the same. Again, the most likely cause of these differences is the method of measurement.


Yes, the answers are roughly similar. They should not be significantly different from one another, since the measurements were made in a similar way each time. However, the answers from the two measurement tools are not identical, since the methods of measurement were different.


We would expect the yardstick to be more accurate than the ruler, since, with fewer measurements to be taken and added, there is less potential for error.


We would expect a tape measure to be even more accurate than a yardstick, since there are still fewer measurements to take.

<< back to Problem B1


Problem B2


You should find that the heights and arm spans are different for the six people, since people are inherently different and come in all shapes and sizes.


No, they would probably not be identical. There are many potential reasons -- most likely, because of measurement errors, such as recording errors.

<< back to Problem B2


Problem B3


The heights are not the same, nor are the arm spans. These measurements vary partly because of the differences between people. You may notice that we also have data on sex; these values vary depending on whether the person measured is male or female. The sex of an individual also has an effect on the variation in the list of heights and arm spans. Also, there is always a possibility of variation due to measurement errors. We cannot expect measurements of height or arm span with a meter stick to be exact every time. And still another type of measurement error may occur: A mistake might be made in recording the person's sex.


Although the data suggest that men are typically taller than women, there is not enough data to prove this conclusively.

<< back to Problem B3


Problem B4


Here are some possible sources of the variation in this data:


Measurement errors may have occurred.


Older pennies may be more worn than newer ones and therefore weigh less.


Different ingredients may have been used for making pennies in different years.


Pennies may have been made at different mints, using different equipment.


A penny may have something attached to it, such as a piece of dirt or gum.


You should still expect to find some slight variation in the data as a result of measurement errors, but the values should be much closer than if you had measured 32 different pennies.

<< back to Problem B4


Problem B5

We might expect the 33rd penny to weigh roughly three grams. There is no way to be absolutely sure of its weight beforehand, since there is variation in the data we were given for the first 32 pennies. Judging from the first 32 pennies, it is quite likely that the 33rd will be between 2.42 and 3.18 grams, and less likely that it will be between 3.00 and 3.10 grams.

<< back to Problem B5


Problem B6

One possible source of the variation in this data is that some people are better at judging time than others; some may consistently overestimate or underestimate the minute. A second source, as always, is measurement error. Finally, people learn from experience -- their own or someone else's. After witnessing the measurement errors in the first estimate, they are likely to adjust their second estimates accordingly.

<< back to Problem B6


Problem B7


Here are some possible sources of the variation in this data:


Measurement errors may have occurred.


Raisins come in many sizes and boxes are filled by weight. It takes fewer large raisins and more smaller raisins to fill a half-ounce box.


The machine that fills the boxes is not perfect; it may include too many or too few raisins.


Each box probably doesn't contain exactly one half ounce of raisins when you account for clumping or air in the box.


Since all of the values were very close, and there are few enough possible values for the number of raisins, we should expect some of them to be exactly the same. This would also be true of a large class taking a test with 20 questions; some students in this class would get the same score, just by chance.

<< back to Problem B7


Problem B8


Here are some possible sources of the variation in this data:


Differences of opinion


Measurement errors


Misread or misunderstood questions


Untruthful responses


It may be that so many people would say "Yes" to this question that finding one of 25 people to say "No" is unlikely. Possibly a person may have misunderstood the question or may not have responded truthfully to what he or she perceived as a "loaded" question. Although the data suggest that another 25 people might respond in the same way, there is not enough data to prove this conclusively.


The wording on each of these questions makes one think about the negative aspects of nuclear power. A respondant might be influenced to answer "Yes" to the final question after reading the first three. This questionnaire may be considered to be biased against nuclear power.

<< back to Problem B8


Problem B9

Here are the variables for each problem:


Problem B3: Sex, height, arm span


Problem B6: Time in seconds (i.e., people's estimates of 60 seconds)


Problem B7: Number of raisins in a box


Problem B8: Answers to Questions 1, 2, 3, and 4

<< back to Problem B9


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