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Observations vs. Inferences
“You can observe a lot just by watching.”
-Yogi Berra
Observations
• An observation is the gathering of information
by using our five senses:
 Sight
 Smell
 Hearing
 Taste
 Touch

• There are two types of observations
 Qualitative
 Quantitative
Qualitative Observations
• Qualitative observations describe what we
observe.
• “Qualitative” = quality (descriptive)
• These observations use adjectives to describe
something.
• Example: The flower has white petals.
• Example: Mr. M has blue eyes.
Quantitative Observations
• Quantitative observations measure what we
observe.
• “Quantitative” = quantity (numerical)
• These observations use numbers to measure
something in a quantitative way.
• Example: The flower has seven petals.
• Example: Mr. M has two eyes.
Which is better?
• Both types of observations are valuable in
science. In an experiment though, quantitative
observations can be precisely and objectively
compared.
Qualitative: The road is long. (describes)
Quantitative: The road is 5 km long. (measures)
• Some things are easier to quantify than others.
Scientists use innovative ways of turning
qualitative into quantitative.
Which is better?
• For example, someone might say that a dead
fish is smelly.
• It is hard to know just how smelly the fish is
though.
• To make this quantitative, the scientist could
ask the person to rate the “smelliness” on a
scale of 1-5.
• This would then allow you to compare how
smelly the fish is!
Inferences
• Inferences are an explanation for an
observation you have made.
• They are based on your past experiences and
prior knowledge.
• Inferences are often changed when new
observations are made.
• Again, observations are information we gather
directly through our five senses….inferences
help explain those observations!
Here are some examples!
• Observation: The grass on the school’s front
lawn is wet.
• Possible inferences:
 It rained.
 The sprinkler was on.
 There is dew on the grass from the morning.
 A dog urinated on the grass!

• All of these inferences could possibly explain
why the grass is wet. They are all based on
prior experiences. We have all seen rain,
sprinklers, morning dew, and dogs going to the
bathroom.
Here are some examples!
• Observation: The school fire alarm is going off.
• Possible inferences:
 The school is on fire.
 We are having a fire drill.
 A student pulled the fire alarm.

• Again, these are all logical explanations for why
the fire alarm is going off.
Last one!
• Observation: A student is sitting in the main
office.
• Possible inferences:

?
Why might a student be sitting there?

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Identifying Problems from Observations

  • 1. Observations vs. Inferences “You can observe a lot just by watching.” -Yogi Berra
  • 2. Observations • An observation is the gathering of information by using our five senses:  Sight  Smell  Hearing  Taste  Touch • There are two types of observations  Qualitative  Quantitative
  • 3. Qualitative Observations • Qualitative observations describe what we observe. • “Qualitative” = quality (descriptive) • These observations use adjectives to describe something. • Example: The flower has white petals. • Example: Mr. M has blue eyes.
  • 4. Quantitative Observations • Quantitative observations measure what we observe. • “Quantitative” = quantity (numerical) • These observations use numbers to measure something in a quantitative way. • Example: The flower has seven petals. • Example: Mr. M has two eyes.
  • 5. Which is better? • Both types of observations are valuable in science. In an experiment though, quantitative observations can be precisely and objectively compared. Qualitative: The road is long. (describes) Quantitative: The road is 5 km long. (measures) • Some things are easier to quantify than others. Scientists use innovative ways of turning qualitative into quantitative.
  • 6. Which is better? • For example, someone might say that a dead fish is smelly. • It is hard to know just how smelly the fish is though. • To make this quantitative, the scientist could ask the person to rate the “smelliness” on a scale of 1-5. • This would then allow you to compare how smelly the fish is!
  • 7. Inferences • Inferences are an explanation for an observation you have made. • They are based on your past experiences and prior knowledge. • Inferences are often changed when new observations are made. • Again, observations are information we gather directly through our five senses….inferences help explain those observations!
  • 8. Here are some examples! • Observation: The grass on the school’s front lawn is wet. • Possible inferences:  It rained.  The sprinkler was on.  There is dew on the grass from the morning.  A dog urinated on the grass! • All of these inferences could possibly explain why the grass is wet. They are all based on prior experiences. We have all seen rain, sprinklers, morning dew, and dogs going to the bathroom.
  • 9. Here are some examples! • Observation: The school fire alarm is going off. • Possible inferences:  The school is on fire.  We are having a fire drill.  A student pulled the fire alarm. • Again, these are all logical explanations for why the fire alarm is going off.
  • 10. Last one! • Observation: A student is sitting in the main office. • Possible inferences: ? Why might a student be sitting there?