A student wants to compare how much plants grew with each of four separate fertilizer types. Which graph is the best choice?
4 Analyzing Data and Drawing Conclusions Online Quiz Questions
Use this free practice quiz with 20 questions to review 4 Analyzing Data and Drawing Conclusions, test your knowledge, and prepare for your next test or exam.
Comparing repeated trials can help determine whether a result is consistent.
- A
True
- B
False
The mean is calculated by dividing the by the number of measurements.
At 4 hours of daily light, the three seedling heights were 6 cm, 7 cm, and 8 cm. What was the range of the heights? Enter your answer in centimeters.
A researcher wants to see whether two numerical measurements, such as water use and plant height, vary together. Which graph should the researcher use?
- A
A bar graph
- B
A line graph
- C
A scatterplot
A set of measurements is 10, 3, 15, 8, and 6. What is the median?
Which practices help make a table of repeated measurements clear and useful? Select all that apply.
- A
Give the table a specific title and headings that include units.
- B
Replace all individual trial results with only the mean.
- C
Keep the original measurements so they can be checked later.
- D
Record measurements to a consistent level of precision.
A graph can make a pattern visible, but it does not explain the pattern occurred.
If measurements have some uncertainty, the data are automatically useless.
- A
True
- B
False
One trial in an investigation gives a result very different from the other trials. What is the best next step?
- A
Delete the result because it does not fit the pattern.
- B
Change the result so it is closer to the other trials.
- C
Keep the result and examine the trial and measurement conditions for a possible explanation.
- D
Ignore all the other trials and base the conclusion on this result alone.
A seedling investigation found greater mean height at higher light levels. Which considerations limit how confidently the results support the conclusion that light caused the height differences? Select all that apply.
- A
Water, temperature, or soil could have affected growth if those factors were not controlled.
- B
The observed relationship between light exposure and height proves that light caused the height difference.
- C
Limited measurement precision could affect how confidently heights can be compared.
- D
Too few trials could make it harder to judge whether a pattern is consistent.
Which statement is a direct observation from the seedling results rather than an explanation of what caused them?
- A
The mean seedling heights were 4 cm, 7 cm, and 10 cm at 0, 4, and 8 hours of light, respectively.
- B
More light caused the seedlings to grow taller.
- C
The seedlings grew taller because their soil was better.
- D
The trial results prove that light is the only factor affecting seedling height.
Use the seedling results to write an evidence-based conclusion about the relationship between daily light exposure and mean height after two weeks. Include specific data and state one important limit on what the results establish.
A student measures seedling height at several ordered levels of daily light exposure. Which graph type best shows how height changes across those levels?
- A
A line graph
- B
A bar graph
- C
A scatterplot
A student is preparing a table of measurements from an investigation. Which approach would make the table clearest for comparing results?
- A
Remove units from the headings so the table has less text.
- B
Give the table a specific title, label its headings with units, and record measurements to consistent precision.
- C
Replace all individual measurements with a single summary value.
- D
Use different precision for each measurement to show more detail.
Three trial heights are 6 cm, 7 cm, and 8 cm. What is their mean height? Enter a number in centimeters.
Which type of graph shows how a measured quantity changes across an ordered scale, such as time or light exposure? Enter the graph type.
True or false: A relationship between two measured variables, by itself, proves that one variable caused the other.
- A
True
- B
False
A student reports the mean height for each light level but also includes every trial result. What important information do the individual results provide?
- A
It guarantees that every trial produced the same result.
- B
It proves which variable caused any differences.
- C
It shows how much the repeated measurements varied.
- D
It removes the need to label the measurements with units.
In the seedling results, mean heights were 4 cm at 0 hours of light, 7 cm at 4 hours, and 10 cm at 8 hours per day. Which pattern do these results show?
- A
Mean height decreased as daily light exposure increased.
- B
Mean height increased at each higher level of daily light exposure shown.
- C
Mean height stayed the same at all three light levels.
- D
The data show that all seedlings had the same height.