observations & measurements. observations information gained through our five senses can be...
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Observations & Measurements
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Observations
Information gained through our five senses
Can be qualitative or quantitative
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Types of Observations
Qualitative descriptionsColorTexture Formation of solids, liquids, gasesHeat changes - relativeOther non-numerical observations
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Clear versus Colorless
Clear
See-through
Cloudy
Parts are see-through with solid
“cloud” in it
Opaque
Cannot be seen through at all
Words to describe transparency
Colorless does not describe transparencyYou can be clear & colored
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Clear versus Colorless
Cherry Kool-adeExample:
Describe the following in
terms of transparency
words & colors
Whole Milk
Water
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Clear versus Colorless
Cherry Kool-ade Clear & redExample:
Describe the following in
terms of transparency
words & colors
Whole Milk
Water
Opaque & white
Clear & Colorless
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Types of Observations
Quantitative measurements - DataInternational System of Units (SI Units) are used
Quantity
Mass (how much stuff is there)
Unit
Kilogram (kg)
Instrument used
Balance
Volume (how much space it takes up)
Liters (L) Graduated cylinder
Temperature (how fast the particles are moving)
Kelvin (K) or Celsius (°C)
Thermometer
Length Meters (m) Meter stick
Time Seconds (sec) stopwatch
Energy Joules (J) (Measured indirectly)
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Uncertainty in Measurement
Every measurement has a degree of uncertaintyThe last decimal you write down is an estimate
Write down a “5” if it’s in-between linesWrite down a “0” if it’s on the line
5 mL
10
15
20
25 mL
5 mL
10
15
20
25 mL Remember:Always read liquid levels from the bottom of the meniscus (the bubble at the top)
Example:Read the
measurements
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Uncertainty in Measurement
Every measurement has a degree of uncertaintyThe last decimal you write down is an estimate
Write down a “5” if it’s in-between linesWrite down a “0” if it’s on the line
5 mL
10
15
20
25 mL
5 mL
10
15
20
25 mL
Example:Read the
measurements
It’s in-between the 10 & 11 line
10.5 mL
It’s on the 12 line
12.0 mL
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Uncertainty in Measurement
Example:Read the
measurements
1 2 3 4 5 6 7 8
1 2 3 4 5 6 7 8
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Uncertainty in Measurement
Example:Read the
measurements
1 2 3 4 5 6 7 8
1 2 3 4 5 6 7 8
It’s right on the 4.3 line
4.30
It’s between the 3.8 & 3.9 line
3.85
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Uncertainty in Measurement
Choose the right instrument If you need to measure out 5 mL, don’t choose the
graduated cylinder that can hold 100 mL. Use the 10 or 25 mL cylinder
The smaller the measurement, the more an error matters—use extra caution with small quantities If you’re measuring 5 mL & you’re off by 1 mL, that’s a
20% error If you’re measuring 100 mL & you’re off by 1 mL, that’s
only a 1% error
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Inference
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Inference
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Inference
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We will cover:Data TablesLine GraphsBar GraphsCircle Graphs
We will cover:Data TablesLine GraphsBar GraphsCircle Graphs
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As a student, you should be able to :
1. Interpret and read graphs2. Construct data tables3.Construct different types of graphs (line graphs, bar graphs, circle graphs)
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When data is collected, it presented in a way that others can view and make sense of it.Often the data will be presented in a _________ or a _____. Data tables are a way of _________ the information. Graphs are _______________ that represent ______________.
data table graphorganizing
pictorial diagramsnumerical data
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Interpreting GraphsInterpreting Graphs
Study the line graph and answer the following question.
1. What information is being shown in this graph?
This graph shows the effect of
different concentrations of fertilizer on the growth of three different
types of plants.
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Study the bar graph to the right and answer the following questions:
1. Do fish grow to a larger weight in pond water or in tap water?
Pond water.
1. Do fish grow to a larger weight in pond water or in tap water?
Pond water.
2. Which grow larger, the males or the females?
Females
2. Which grow larger, the males or the females?
Females
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Making a Data Table
Making a Data Table
As scientists collect data, it must be recorded in an organized fashion. Any time data is collected in an experiment, it is most often presented in a table. The data table must have a title, rows, columns, and heads. The title should be placed at the top and tells the observer what information is contained in the table.
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Making a Line Graph
Line graphs show data plotted as points that are connected by a line. Line graphs are often used to show change over time and can be used to compare two or more sets of data.
The independent variable is the one being manipulated or changed during the experiment. It is always placed on the x-axis or horizontal axis.
The dependent variable is the observed/measured result of the independent variable being changed. The dependent variable is always placed on the y-axis or vertical axis.
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Making a Bar Graph
Bar graphs are useful for showing
comparisons of data collected by
counting.
A bar graph has two axes, a horizontal axis and a vertical axis. Generally the horizontal axis is labeled and the vertical axis is divided by quantity. The data are not related so the bars do not touch.
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Circle graphs are used less often in science reporting, but they are often seen in
newspapers and magazines.A circle graph is a
convenient way to show the relative sizes of the parts
that form an entire body of data.
Circle graphs are used less often in science reporting, but they are often seen in
newspapers and magazines.A circle graph is a
convenient way to show the relative sizes of the parts
that form an entire body of data.
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Under what circumstance would each of the following types of graphs be best used?
a) Line Graph: Line graphs are often used to show change over time and can be used to compare two or more sets of data.
b) Bar Graph: Bar graphs are useful for showing comparisons of data collected by counting.
c) Circle Graphs: Circle graphs are best used to give the viewer an overall or broad picture view of smaller groups of data and how the smaller groups fit into the whole.
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Compiled using a variety of Internet resources and slide shows created by science teachers