What you'll learn
Science rarely ends with one experiment. Scientists compare their results with other studies, puzzle over results they did not expect, and use what they found to make predictions about new situations. The GED calls this skill working with findings.
In this lesson you will learn to:
- reconcile two findings that seem to disagree, by finding the difference in conditions that lets both be true;
- explain unexpected results by ruling out errors and spotting real causes;
- apply findings to a new situation, such as using a lab result to predict what will happen on a farm, in a kitchen or on an icy road;
- tell the difference between a careful interpolation and a risky extrapolation.
How it shows up on the GED: Science questions come in short sets built around one stimulus — a description of an experiment, a table, a graph, or two short studies side by side. Working-with-findings questions usually sound like this:
- "Which explanation best accounts for both results?"
- "Which finding would best support the researcher's explanation?"
- "The students expected X but measured Y. Which is the most likely reason?"
- "Based on the findings, what would most likely happen if …?"
Most are multiple choice, but you may also see drop-down, "select all" and numeric items. Everything you need is in the stimulus.
Key terms
- finding — a result that a study reports ("Fertilized corn yielded 30% more").
- reconcile — show how two findings that seem to conflict can both be true ("Both are right; the studies used different amounts").
- condition — a feature of the setting of a study, such as temperature, rainfall, dose or location ("Year 2 was a drought").
- limiting factor — the resource in shortest supply, which holds back growth even if other resources are plentiful (water in a drought).
- threshold — a level that must be reached before an effect appears (harm starts at about 0.05 ppm).
- unexpected result — a result that does not match a prediction, a textbook value or an earlier study.
- experimental error — a mistake or flaw in how data were collected (an uncalibrated thermometer).
- calibrate — check an instrument against a known standard (a thermometer should read 0 °C in ice water).
- interpolate — estimate a value between tested data points (predict the rate at 35 °C from data at 30 °C and 40 °C).
- extrapolate — estimate a value beyond the tested range (predict the rate at 80 °C from data that stop at 60 °C); this is much riskier.
- optimum — the condition that gives the greatest result (an enzyme's optimum temperature).
1. Reconciling findings that seem to disagree
When two studies seem to contradict each other, the GED almost never wants you to say "one study is wrong." Instead, it wants the explanation that lets both findings stand.
The method:
- State each finding exactly, in numbers if possible.
- List the conditions of each study: who or what was studied, where, when, how much, how long, and how it was measured.
- Find the condition that differs. That difference is almost always the key.
- Choose the explanation that uses that difference and keeps every reported result true.
Common differences: dose, environment, organism, time, location and method.
What a good reconciling answer is NOT:
- It does not dismiss a finding ("the field study must be flawed") unless the passage gives a specific reason.
- It does not invent a factor the passage never mentions ("the frogs became immune").
- It does not contradict the data ("the pesticide is harmless" when one table shows harm).
2. Explaining unexpected results
An unexpected result is a gift to a scientist: either something went wrong, or something new is happening. The GED asks you to decide which is more likely, using only the stimulus.
Step 1 — Check for experimental error. Ask:
- Were instruments calibrated (checked against a known value)?
- Were the materials pure or the same as planned?
- Were procedures followed the same way each time?
- Was the result repeated by several groups or trials?
If the passage says the instruments were checked, the materials were pure and several groups got the same result, error is unlikely. A random mistake would not make four groups agree to within 0.3 °C.
Step 2 — Look for a real difference in conditions. Compare the unexpected case with the expected one. What is different? Location, pressure, temperature, organism, time of year?
Example. A class in Denver finds water boils at about 95 °C, not 100 °C. The thermometers read 0.0 °C in ice water, the water was distilled, and a sea-level class with the same equipment got 100 °C. Error is ruled out. The real difference is air pressure (83 kPa vs. 101 kPa). Lower air pressure lets water boil at a lower temperature.
Step 3 — Match the explanation to the direction of the result. If the measured value is lower than expected, the explanation must push it lower. For example, impurities dissolved in water raise its boiling point, so they cannot explain a boiling point that is too low.
3. Applying findings to new situations
Findings are useful because we can apply them beyond the experiment: to farms, kitchens, hospitals, roads and ecosystems. To apply a finding correctly:
- Identify the relationship. What happens to the dependent variable as the independent variable changes? (More salt → lower freezing point.)
- Check that the new situation matches. Same kind of organism, material or setting? Is the new value inside the range that was tested?
- Use the numbers. Read the value from the table or graph, or follow the pattern.
- Do not over-claim. Choose predictions that say "likely," "about" or "would probably," not "all," "always" or "within a day," unless the data truly show that.
Example. Students find that 10 g of salt in 100 g of water freezes at −6 °C and 20 g freezes at −12 °C. A road crew expects −8 °C. Applying the finding: 10 g is not enough (−6 °C is warmer than −8 °C), but 15 g (about −9 °C) or more would work.
Interpolate, don't extrapolate. Estimating between tested values (interpolation) is usually safe. Estimating beyond them (extrapolation) is risky because trends can change: an enzyme's rate rises up to 40 °C, then crashes as it denatures.
Worked example 1: Two studies, one explanation
Stimulus. Study 1: a vitamin supplement improved bone strength in older adults who got little sunlight. Study 2: the same supplement had no effect on bone strength in lifeguards who worked outdoors all summer. (The body makes this vitamin when skin is exposed to sunlight.)
Question. Which statement best reconciles the two studies?
A. Study 2 used a weaker supplement. B. The supplement helps people who are low in the vitamin, and lifeguards already make plenty from sunlight. C. Bone strength cannot be measured accurately. D. The supplement harms young people.
Think-aloud.
- Finding 1: it helped. Finding 2: it did not help. I need one idea that keeps both true.
- What is different? The groups: older adults with little sunlight vs. lifeguards outdoors all summer. The passage says sunlight lets the body make the vitamin.
- B uses exactly that difference: one group was short of the vitamin, the other was not. ✓
- A — nothing says the supplement differed; it says "the same supplement." ✗ C — throws out both studies. ✗ D — "no effect" is not "harm." ✗
Answer: B.
Worked example 2: An unexpected result
Stimulus. A student predicts that a plant kept in a sunny window will grow taller than a plant kept in a dim corner. After three weeks, the dim-corner plant is taller, but it is pale and has thin, weak stems. The sunny plant is shorter, dark green and sturdy. Both plants got the same water and soil.
Question. Which is the best explanation for the unexpected result?
A. The student mixed up the labels on the plants. B. Plants in dim light can stretch quickly toward light, growing tall but weak. C. Sunlight is harmful to plants. D. The dim-corner plant got more water.
Think-aloud.
- Expected: sunny plant taller. Observed: dim plant taller but pale and weak.
- Rule out errors: the passage says the water and soil were the same, so D is out. A mix-up (A) would not explain why the taller plant is pale and weak — that matches low light.
- C goes too far: the sunny plant is healthy and dark green.
- B explains every detail: tall, thin, pale = stretching toward light. ✓
Answer: B. The best explanation accounts for all the observations, not just the surprising one.
Worked example 3: Applying a finding with numbers
Stimulus.
| Water temperature (°C) | Sugar that dissolves in 100 mL (g) |
|---|---|
| 20 | 200 |
| 40 | 240 |
| 60 | 290 |
| 80 | 360 |
Question. A candy maker needs to dissolve 300 g of sugar in 100 mL of water. Based on the data, which is the lowest of these temperatures that will work: 40 °C, 50 °C, 70 °C or 90 °C?
Think-aloud.
- The finding: hotter water dissolves more sugar.
- The goal: at least 300 g. At 60 °C only 290 g dissolves, which is not quite enough. At 80 °C, 360 g dissolves, which is plenty.
- So the answer must be between 60 °C and 80 °C. Interpolate 70 °C: halfway between 290 and 360 is \dfrac{290 + 360}{2} = 325 g. That is more than 300 g. ✓
- 40 °C (240 g) and 50 °C (about 265 g) are too low. 90 °C works but is not the lowest.
Answer: 70 °C.
Worked example 4: Choosing evidence that supports an explanation
Stimulus. Bees visited a field of flowers less often this year than last year. A beekeeper thinks a new building blocks the bees' direct route from the hives to the field.
Question. Which new finding would best support the beekeeper's explanation?
A. The flowers bloomed at the same time both years. B. Bees from hives on the other side of the field, with no building in the way, visited just as often as last year. C. Honey prices rose this year. D. Bees can see ultraviolet light.
Think-aloud.
- The explanation names one cause: the building blocking the route.
- The best support compares bees with the building in the way to bees without it, keeping everything else the same.
- B does exactly that. If unblocked bees visited normally, the field and flowers are fine, and the blocked route is the likely cause. ✓
- A rules out one other cause (bloom timing) but does not test the building directly; B is stronger. C and D are irrelevant.
Answer: B.
Common mistakes
- Declaring one study wrong. Wrong: "The field study disagrees, so it must be flawed." Right: look for a difference in conditions (dose, place, time, organism) that lets both results be true.
- Inventing a new factor. Wrong: "The frogs must be immune." Right: use only factors the passage mentions. If the passage never mentions immunity, that choice is a trap.
- Blaming error when error was ruled out. Wrong: "The thermometers were broken." Right: if the passage says instruments were calibrated and several groups agreed, look for a real cause.
- Ignoring the direction of the effect. Wrong: "Impurities explain the low boiling point." Right: impurities raise the boiling point, so they cannot explain a reading that is too low.
- Extrapolating a trend that changes. Wrong: "Hotter is always faster for the enzyme, so 70 °C is best." Right: past the peak, the rate falls. Stay inside the data or follow the trend the data actually show.
- Mixing up negative numbers. Wrong: "−6 °C is colder than −8 °C." Right: the more negative number is colder; −8 °C is colder than −6 °C.
GED strategy for working with findings
- Read the question first. Know whether you are reconciling, explaining, supporting or predicting before you dive into the stimulus.
- Underline the conditions. As you read, note every number and setting: dose, temperature, location, time, sample size. The key difference is usually hiding there.
- Rule out what the passage rules out. If it says "thermometers were checked" or "the same fertilizer was used," cross off choices that blame those things.
- Prefer answers that keep all findings true. Distractors often throw away one result or contradict a number.
- Watch absolute words. All, never, always, completely, within one day are red flags unless the data are just as extreme.
- For predictions, find the matching data. Use the row, point or study whose conditions match the new case. Interpolate when you must, and be wary of extrapolation.
- Check graph axes and units before reading values: is it °C or °F, ppm or percent, per acre or per plot?
Check yourself
Fertilizer Trials in a Wet Year and a Dry Year
An agricultural extension office tested the same corn fertilizer on the same farm two years in a row. Each year, workers planted 20 plots with the same corn variety on the same date. Ten plots received the fertilizer and ten plots received none. The same brand and amount of fertilizer was used both years.
Year 1 had 28 inches of rain during the growing season, which is normal for the area. Year 2 was a drought, with only 9 inches of rain. In July of each year, workers also measured soil moisture. The average soil moisture was 31% in Year 1 and 9% in Year 2.
In Year 1, the fertilized plots produced 195 bushels per acre, compared with 150 bushels per acre for the plots with no fertilizer. In Year 2, the fertilized plots produced 95 bushels per acre, compared with 92 bushels per acre for the plots with no fertilizer.
Which statement best describes how the results of the two years differ?
Hint
For each year, subtract the "no fertilizer" yield from the "fertilizer added" yield.
Step-by-step solution
Where the answer comes from: the passage states that in Year 1 "the fertilized plots produced 195 bushels per acre, compared with 150 bushels per acre," and in Year 2 "the fertilized plots produced 95 bushels per acre, compared with 92 bushels per acre."
Step by step:
- Year 1 effect of fertilizer: 195 - 150 = 45 bushels per acre (that is 45 \div 150 = 0.30, a 30% increase).
- Year 2 effect of fertilizer: 95 - 92 = 3 bushels per acre (only about a 3% increase).
- So the fertilizer gave a large boost in the wet year and almost no boost in the drought year.
Correct answer: B. Choice A reverses the years. Choice C ignores the large Year 1 gain. Choice D is wrong because the fertilized plots still yielded slightly more (95 vs. 92) in Year 2.
Tip: Before you try to explain two findings, state each one precisely in numbers. Many "working with findings" questions start by asking you to see exactly what is different.
Check yourself
Fertilizer Trials in a Wet Year and a Dry Year
An agricultural extension office tested the same corn fertilizer on the same farm two years in a row. Each year, workers planted 20 plots with the same corn variety on the same date. Ten plots received the fertilizer and ten plots received none. The same brand and amount of fertilizer was used both years.
Year 1 had 28 inches of rain during the growing season, which is normal for the area. Year 2 was a drought, with only 9 inches of rain. In July of each year, workers also measured soil moisture. The average soil moisture was 31% in Year 1 and 9% in Year 2.
In Year 1, the fertilized plots produced 195 bushels per acre, compared with 150 bushels per acre for the plots with no fertilizer. In Year 2, the fertilized plots produced 95 bushels per acre, compared with 92 bushels per acre for the plots with no fertilizer.
The same fertilizer worked well in Year 1 but barely worked in Year 2. Which explanation best accounts for both findings?
Hint
Look for the condition the passage says was very different between the two years.
Step-by-step solution
Where the answer comes from: the passage says Year 1 had "28 inches of rain" and Year 2 "was a drought, with only 9 inches of rain." Soil moisture "was 31% in Year 1 and 9% in Year 2." It also says "the same brand and amount of fertilizer was used both years."
Step by step:
- The fertilizer, corn variety, number of plots and planting date stayed the same. The big difference between the years was water.
- Plants need both water and nutrients. If water is in short supply, adding more nutrients cannot make the plants grow much more, because water is now the limiting factor.
- This one idea explains both results: with plenty of water (Year 1), nutrients were what held the corn back, so fertilizer helped. With little water (Year 2), extra nutrients barely helped.
Correct answer: C. Choice A has no support: the passage says the fertilizer was the same. Choice B contradicts the data, since fertilized plots still did slightly better in the drought. Choice D throws away a finding instead of explaining it.
Tip: A good reconciling explanation keeps all the findings true and points to a real difference in conditions between the studies.
Summary
- Reconcile conflicting findings by finding a difference in conditions (dose, environment, organism, time, place) that lets both be true.
- Explain unexpected results by first ruling out error (calibration, purity, repeated trials) and then matching a real condition to the direction of the result.
- Apply findings by identifying the relationship, matching the new situation to the right data, and using the numbers.
- Interpolate between data points with care; be very cautious about extrapolating beyond them, especially when a trend peaks.
- The best supporting evidence changes the suspected cause while keeping everything else the same.
- Reject choices that dismiss findings, invent factors, contradict data or use extreme words.