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Observation Gather Information Hypothesis Experiment Conclusion

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Presentation on theme: "Observation Gather Information Hypothesis Experiment Conclusion"— Presentation transcript:

1 Observation Gather Information Hypothesis Experiment Conclusion
Scientific Method Observation Gather Information Hypothesis Experiment Conclusion

2 What is an Observation? Definition: Using senses to gather information
Observations lead to questions “what is the effect of …on …?”

3 Two types of Observations
1. Qualitative: Using your senses to describe something Ex: Mrs. Peddie has Brown Hair 2. Quantitative: Using tools to take a numerical measurement Ex: Mrs. Peddie is 5 ft 2 in.

4 Hypothesis Predicts the answer to a question
Hypotheses are based on--- Past Experience Observations Research

5 The format for writing a hypothesis
“IF THEN . . .because….” Example : IF I exercise, THEN my heart rate will increase BECAUSE heart rate is dependent upon activity levels.

6 What is an Experiment Experiments test your Hypothesis
The experiment tests ONE VARIABLE (factor that changes) EX: = increasing or decreasing your Exercise level Experiments need a CONTROL GROUP (to compare results to) EX: = your heart rate at rest. Constants: the parts of the lab that must remain the same EX: = temperature, type of exercise, time

7 Types of Variables Dependent Variable: Independent Variable:
Is the data collected through observation and measurement heart rate Independent Variable: Variable that is manipulated (changed) during the experiment. rest, stand, walk, run

8 Conclusion Analysis Did the experiment support the hypothesis?
…Paragraph explaining your results and discussing these questions. If you did the experiment again, what would you do differently? What did you learn? Possible Errors

9 Theory Theory = hypothesis supported by many experiments over time
Examples of theories: Gravity or Evolution

10 Making Conversions

11 How to Create Bar and Line Graphs

12 Draw the Axes

13 Identify the Axes Y- Axis X- Axis

14 Identify the Axes Y- Axis X- Axis Dependent Variable
(what is observed and measured) X- Axis Independent Variable (what is changed by the scientist)

15 DRY MIX One way to remember which data goes on which axis is the acronym DRY MIX. D.R.Y M.I.X. D- Dependent M-Manipulated R- Responding I- Independent Y- Y-axis X- X-axis

16 Title Write an appropriate title for the graph at the top. The title should contain both the independent and dependent variables.

17 Scale Decide on an appropriate scale for each axis.
The scale refers to the min and max numbers used on each axis. They may or may not begin at zero. The min and max numbers used for the scale should be a little lower than the lowest value and a little higher than the highest value. This allows you to have a smaller range which emphasizes the comparisons/trends in the data.

18 Scale The Y-axis scale is from The largest value though is only 35.

19 Scale The Y-axis scale is now from 0-40.
This does a better job emphasizing the comparisons between coins.

20 Intervals Look at your minimum and maximum values you set up for both the Y and X-axis. (For most bar graphs, the X-axis will not have numerical values.) Decide on an appropriate interval for the scale you have chosen. The interval is the amount between one value and the next. It is highly recommended to use a common number for an interval such as 2, 5, 10, 25, 100, etc.

21 Intervals The interval for the Y-axis is 20.
The X-axis does not have numerical data and does not need an interval.

22 Labels Both axes need to be labeled so the reader knows exactly what the independent and dependent variables are. The dependent variable must be specific and include the units used to measure the data (such as “number of drops”).

23 Labels DV label IV label

24 TAILS T.A.I.L.S. Scale Title Axis
Another handy acronym to help you remember everything you need to create your graphs….. T.A.I.L.S. Title Axis Interval Labels Scale

25 TAILS Title: Includes both variables
Axis: IV on X-axis and DV on Y-axis Interval: The interval (4) is appropriate for this scale. Label: Both axes are labeled. (UNIT) Scale: Min and max values are appropriate.

26 Bar Graphs vs Line Graphs

27 Bar Graphs Bar graphs are descriptive.
They compare groups of data such as amounts and categories. They help us make generalizations and see differences in the data.

28 Example

29 Another example

30 Line Graphs Line graphs show a relationship between the two variables. They show how/if the IV affects the DV. Many times, the IV plotted on the X-axis is time. They are useful for showing trends in data and for making predictions. Can be used to compare multiple sets of data, using different lines within the same graph

31 Example

32 Another example

33 Planting Procedure Label the RIM of Styrofoam cups
Group# and Period, Date control or experimental Amount of Water Punch 3 holes in bottom of cup (already done) Place one beaker of soil in cup (60 ml) Plant sprinkle ¼ teaspoon of grass seeds evenly across the soil Place another beaker of soil (60 ml) over seeds Water (50ml/one beaker) More water is needed at planting to get the seeds to germinate

34 Data Collection Water daily (before school on off days)
Place watered amount and date on cups Measure on days that you have biology Place measurements and date on cup and in your data table

35 CONPTT

36 Six Criteria of Science : Consistent, Observable, Natural, Predictable, Testable, Tentative.

37 Consistency : The results of observations and/or experiments are reasonably the same when repeated.
Green plants will grow towards a light source. Walking under a ladder will cause bad luck.

38 Observability : The event or evidence of the event, can be observed and explained. The observations are limited to the basic human senses or to extensions of the senses. Some plants eat meat. Extraterrestrial beings have visited Earth.

39 Natural : A natural cause (mechanism) must be used to explain why or how the event happens.
1. Green plants convert sunlight into energy. 2. With a rod, Moses parted the sea so his people could cross to the other side..

40 Predictability : Specific predictions can be used to foretell an event
Predictability : Specific predictions can be used to foretell an event. Each prediction can be tested to determine if the prediction is true or false. Without sunlight (or artificial light), green plants will die. If you are a "Scorpio", your horoscope for today is "You'll be saying 'I feel rich !' Lunar position highlights back pay, refunds, correction of accounting error."

41 Testability : the event must be testable through the processes of science, and controlled experimentation. The Bermuda Triangle causes ships and planes to sink and disappear. Life comes from life and cannot come from non-life.

42 Tentativeness : Scientific theories are changeable and correctable, even to the point of the theory being proven wrong. Scientific theories have been modified and will continue to be modified Pluto was once a planet but due to it’s orbits, is now considered a dwarf planet. We know that the world began about 6000 years ago, and nothing will change that.

43 Experimental Design Activity
What Factors effect Seed Germination? Experimental Design Activity

44 EVOLUTIONARY THEORY

45 The Scientists Jean Baptist Lamarck vs. Charles Darwin

46 “acquired characteristics”
Jean Baptiste Lamarck Evolution occurs as structures develop through use, or disappear because of disuse, and these “acquired characteristics” are passed to offspring EXAMPLE: Over a Giraffes Lifetime it can stretch it’s neck and it’s offspring will be born with long necks…. Valid?

47 Darwin and The Monkey! THIS IS NOT WHAT HIS THEORY SAYS

48 Who was Charles Darwin Studied Medicine Received a BA in Theology
Hated the sight of blood Received a BA in Theology Had 10 children Darwin was a Naturalist on the HMS Beagle

49 Theory of Evolution In The Galapagos Islands, Darwin collected species of finches (13) Each had a specialized diet and beak structure These finches all closely resembled a South American finch ancestral species On the trip Darwin saw things he could only attribute to a process called “Natural Selection”

50 Darwin’s Finches

51 Theory of Evolution Hypothesized that the differences were do to gradual change Darwin referred to such change as “descent with modification” – evolution; Wrote Origin of Species He still wondered “How does evolution occur?”

52 After his voyage, Darwin made the following inferences:
There is variation within populations Some variations are favorable Not all young produced in each generation can survive Individuals that survive and reproduce are those with favorable variations Favorable traits will increase in future generations.

53 Darwin called this process by which populations change in response to their environment
Natural Selection

54 So....What is Evolution?

55 Evolution happens because of natural selection
Selection acts on individuals, populations evolve

56 Change creates advantages for some species & disadvantages for others
Fossils reveal changes in species over millions of years

57 Adaptation Adaptations are inherited traits that increase a group’s chance of survival & reproduction This type of finch has a thick beak  adaptation for cracking open seeds

58 Variation Within a species, there is variation
Variation = differences between members of a population Species = group that can breed & produce healthy offspring

59 Evidence for Evolution
1. Fossils show change over time scientists can date fossils & use them to support the theory of evolution common ancestors reveal whether species are related Anatomy of living species also shows relatedness

60 How Anatomy supports Evolution
Homologous Structures Traits similar in different species because they share a common ancestor Ex: human arm, dog front limb, horse leg, whale fin An “ Look the Same”

61 How Anatomy supports Evolution
3. Analogous structures Distantly related species have structures that have the same function but are different in structure Ex: wing of butterfly & bird “ Work the Same”

62 How Anatomy supports Evolution
4. Vestigial structures Structures reduced in size & often unused Remains of functional structures inherited from an ancestor Ex: leg & hip bones in pythons & whales

63 How DNA Supports evolution
5. Molecular Evidence Also called biochemical evidence Compares biomolecules such as DNA or amino acid sequences between organisms Related organisms have more of the same molecules in common

64 So….. Where Do New Species Come From?

65 How do new species form? Geographic Isolation
When members of a population are separated Ex: polar, grizzly, & black bears

66 2. Reproductive Isolation
When members of a population can’t breed even though they live nearby Ex: different mating seasons or different mating calls

67 Different Types of Evolution
Divergent evolution Convergent evolution Coevolution Adaptive radiation

68 Divergent Evolution Isolated populations evolve independently
Ex: polar & grizzly bears changed independently due to different habitats

69 Convergent Evolution Unrelated species become more alike because they live in similar environments Ex: shark & dolphin

70 Coevolution Species that interact closely adapt to one another
Ex: Flowers & Pollinators (Birds, Bees and Butterflies too)

71 Adaptive Radiation Evolution of many diverse species from one common ancestor Ex: famous Galapagos finches discovered by Darwin

72 How fast does evolution occur?
Gradualism One species changes slowly & eventually becomes two species (supported by fossil evidence) Punctuated Equilibrium Stable with short periods of change during which a new species forms


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