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Biology: Science for Life, with Physiology
Sixth Edition
Chapter 1
Can Science Cure the
Common Cold?
PowerPoint Lecture prepared by
Dr. Judi Roux
Copyright © 2019, 2016, 2013 Pearson Education, Inc. All Rights Reserved.
Introduction to the Scientific Method
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Learning Outcomes (1 of 2)
• Describe the characteristics of a scientific hypothesis.
• Compare and contrast the terms scientific hypothesis
and scientific theory.
• Distinguish between inductive and deductive reasoning.
• Explain why the truth of a hypothesis cannot be proven
conclusively via deductive reasoning.
• Describe the features of a controlled experiment, and
explain how these experiments eliminate alternative
hypotheses for the results.
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Learning Outcomes (2 of 2)
• List strategies for minimizing bias when designing
experiments.
• Define correlation, and explain the benefits and limitations
of using this technique to test hypotheses.
• Describe the information that statistical tests provide.
• Compare and contrast primary and secondary sources.
• Summarize the techniques you can use to evaluate
scientific information from secondary sources.
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What advice do you receive from friends and
family to treat your cold?
A. Take vitamin C.
B. Use zinc lozenges.
C. Drink echinacea tea.
D. Meditate.
E. Get more rest.
F. Wear a warm hat.
G. Eat chicken soup.
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1.1 The Process of Science (1 of 21)
• Science is…
‒ a body of knowledge
 E.g., biology, the study of living organisms
‒ the discovery of something new and unknown
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1.1 The Process of Science (2 of 21)
• Science is NOT…
‒ recalling specific facts about the world.
‒ memorizing what is already known.
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1.1 The Process of Science (3 of 21)
• The scientific method
‒
‒
‒
‒
Making observations
Proposing ideas
Testing the ideas
Discarding or modifying ideas based on results
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1.1 The Process of Science (4 of 21)
• Observations lead to questions.
• Hypotheses are proposed explanations for those
observations.
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1.1 The Process of Science (5 of 21)
• Your mom’s observation: People are more likely to get
colds when it is cold outside.
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1.1 The Process of Science (6 of 21)
• Your mom’s observation: People are more likely to get
colds when it is cold outside.
• Your mom’s hypothesis: Becoming chilled makes you
more susceptible to illness.
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1.1 The Process of Science (7 of 21)
• The Nature of hypotheses
‒ Scientific hypotheses
 Testable: possible to evaluate
 Falsifiable: potentially false
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Unfalsifiable hypothesis: You can’t prove it wrong
Example: are there microchips in the COVID-19 vaccine?
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1.1 The Process of Science (8 of 21)
• Everyday use of “theory”
‒ Untested ideas based on little information
• Scientific theory
‒ Powerful, broad explanation for related observations
 Based on well-supported hypotheses
 Supported by different, independent lines of research
example: Theory of evolution
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1.1 The Process of Science (9 of 21)
• Chronic stomach ulcers
‒ Common belief: Ulcers are
caused by acids and spicy
foods.
‒ Treatment: drugs to reduce
acid; avoiding spicy food
‒ New observation:
Helicobacter pylori bacteria
were found in most samples of
ulcer tissue.
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1.1 The Process of Science (10 of 21)
• Chronic stomach ulcers
‒ Accepted fact: H. pylori
infections cause stomach
ulcers.
1. No reasonable alternative
hypotheses are supported.
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1.1 The Process of Science (11 of 21)
• Chronic stomach ulcers
‒ Accepted fact: H. pylori
infections cause stomach
ulcers.
1. No reasonable alternative
hypotheses are supported.
2. The hypothesis has not
been rejected by carefully
designed experiments.
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1.1 The Process of Science (12 of 21)
• Chronic stomach ulcers
‒ Accepted fact: H. pylori infections cause stomach
ulcers.
1. No reasonable alternative hypotheses are supported.
2. The hypothesis has not been rejected by carefully
designed experiments.
3. The relationship between H. pylori and stomach ulcers
follows the germ theory of disease.
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1.1 The Process of Science (13 of 21)
• Fact 1: Fruits and vegetables contain much vitamin C.
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1.1 The Process of Science (14 of 21)
• Fact 1: Fruits and vegetables contain much vitamin C.
• Fact 2: People with diets rich in fruits and vegetables are
generally healthier.
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1.1 The Process of Science (15 of 21)
• Fact 1: Fruits and vegetables contain much vitamin C.
• Fact 2: People with diets rich in fruits and vegetables are
generally healthier.
• Fact 3: Vitamin C is an anti-inflammatory agent that
reduces throat and nose irritation.
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1.1 The Process of Science (16 of 21)
• Fact 1: Fruits and vegetables contain much vitamin C.
• Fact 2: People with diets rich in fruits and vegetables are
generally healthier.
• Fact 3: Vitamin C is an anti-inflammatory agent that
reduces throat and nose irritation.
• Hypothesis: Consuming vitamin C decreases the risk
of catching a cold.
‒ Inductive reasoning: combining specific observations
to a general principle
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1.1 The Process of Science (17 of 21)
• Hypothesis: Consuming vitamin C decreases the risk
of catching a cold.
‒ Sensible
‒ Needs to be tested
‒ May be proven false
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1.1 The Process of Science (18 of 21)
• The logic of hypothesis tests
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1.1 The Process of Science (19 of 21)
• The logic of hypothesis
tests
‒ Hypothesis testing based on
 Deductive reasoning –
General principle to predict
observations
 If/then statements for
making predictions
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Deduction moves from idea to observation , while induction moves from
observation to idea.
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1.1 The Process of Science (20 of 21)
• The logic of hypothesis tests
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1.1 The Process of Science (21 of 21)
• The logic of hypothesis tests
‒ Prediction is true
 Hypothesis is supported but
NOT proven
‒ Prediction is false
 Hypothesis rejected and
disproven
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1.2 Hypothesis Testing (1 of 21)
• Hypothesis: The common cold is caused by a virus.
‒ Tested by experiments
‒ Supported by experimental results.
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All hypotheses need to be tested with
laboratory experiments. (1 of 2)
A. True
B. False
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All hypotheses need to be tested with
laboratory experiments. (2 of 2)
A. True
B. False
Explanation: Some hypotheses may be tested by
observations of fossils.
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1.2 Hypothesis Testing (2 of 21)
• The experimental method
‒ Experiments
 Collect data or information
 Test specific hypotheses
 Example: Scientists will measure the effects of vitamin C
on cold prevention
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1.2 Hypothesis Testing (3 of 21)
• The Experiment: To measure the effect of vitamin C
on cold prevention
• Variables: factors that may change
‒ Independent variables: those manipulated by the
researcher
 Vitamin C intake
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1.2 Hypothesis Testing (4 of 21)
• The Experiment: To measure the effect of vitamin C
on cold prevention
• Variables: factors that may change
‒ Independent variables: those manipulated by the
researcher
 Vitamin C intake
‒ Dependent variables: those not changed by the
researcher; may change during the experiment
 Susceptibility to illness upon exposure to virus
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1.2 Hypothesis Testing (5 of 21)
• Controlled experiments
‒ Test the effect of a single variable
‒ Limit possible alternate hypotheses
‒ Differences in results should be due to treatment
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1.2 Hypothesis Testing (6 of 21)
• Control or control group
‒ Similar to experimental subjects
‒ Do NOT receive the experimental treatment
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1.2 Hypothesis Testing (7 of 21)
• Steps for controlled experiments
1. Random assignment to control or experimental group
2. Identical participation for both groups except for the
testing treatment
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1.2 Hypothesis Testing (8 of 21)
• Echinacea tea experiment
‒ Hypothesis: Drinking
echinacea tea relieves cold
symptoms.
 Experimental group
drank echinacea tea 5–6
times daily
 Control group drank
“sham” tea (placebo)
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1.2 Hypothesis Testing (9 of 21)
• Echinacea tea experiment
‒ Hypothesis: Drinking
echinacea tea relieves cold
symptoms.
 Independent variable:
drinking tea
 Dependent variable: relief
from cold symptoms
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1.2 Hypothesis Testing (10 of 21)
• Echinacea tea experiment
‒ Hypothesis: Drinking
echinacea tea relieves
cold symptoms.
 Independent variable:
drinking tea
 Dependent variable:
relief from cold symptoms
‒ Results: Experimental
group felt echinacea tea
was 33% more effective.
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1.2 Hypothesis Testing (11 of 21)
• Minimizing bias in experimental design
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1.2 Hypothesis Testing (12 of 21)
• Minimizing bias in experimental design
‒ Bias: influence on results
‒ Blind studies: limit participant knowledge
‒ Double-blind studies: also limit researcher knowledge
of participant groups
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1.2 Hypothesis Testing (13 of 21)
• Using correlation to test hypotheses
‒ When controlled experiments on humans may be
 Impossible
 Dangerous
 Unethical
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1.2 Hypothesis Testing (14 of 21)
• Using correlation to test
hypotheses
‒ Model systems: used to
avoid unethical or
impractical tests on
humans




Bacteria
Fruit flies
Nematodes
Mammals (rodents, dogs,
pigs, human cells)
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1.2 Hypothesis Testing (15 of 21)
• Relationships between factors
• Hypothesis: Stress makes people more susceptible to
catching a cold.
‒ Is there a correlation between stress and the number of colds
people have caught?
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1.2 Hypothesis Testing (16 of 21)
• Using correlation to test hypotheses
‒ Results: The number of colds increases as stress
levels increase.
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1.2 Hypothesis Testing (17 of 21)
• Using correlation to test hypotheses
‒ Results: The number of colds increases as stress
levels increase.
‒ Caution! Correlation does not imply causation.
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Correlation vs causation
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1.2 Hypothesis Testing (18 of 21)
• Using correlation to test hypotheses
‒ The correlation might be due to other reasons
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1.3 Understanding Statistics (1 of 8)
• What statistical tests can tell us
‒ Statistics in science
 Specialized branch of
mathematics
 Evaluate and compare data
 Sample - Small subgroup used
in experimental tests
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1.3 Understanding Statistics (2 of 8)
• What statistical tests can tell us
‒ Statistical tests
 Examine differences between
groups
 Results from sample may extend
to entire population
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1.3 Understanding Statistics (3 of 8)
• What statistical tests can tell us
‒ Statistically significant
 Results show a true difference between groups
 Low probability that difference between groups is due to
random chance
 Probability of 5% or less
 Researchers may infer that treatment had an effect
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1.3 Understanding Statistics (8 of 8)
• What statistical tests cannot tell us
‒ If an experiment was designed and carried out properly
‒ If observer error occurred
‒ can only evaluate the probability of sampling error
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1.4 Evaluating Scientific Information (1 of 7)
• Primary Sources
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1.4 Evaluating Scientific Information (2 of 7)
• Primary Sources
‒ Primary source:
original research
‒ Peer review: critique
by other scientists
before publication to
increase confidence
in results
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1.4 Evaluating Scientific Information (3 of 7)
• Secondary Sources
‒ Secondary source:
story about the original
research
‒ Book
‒ News report
‒ Advertisement
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1.4 Evaluating Scientific Information (4 of 7)
• Anecdotal evidence
‒ Based on one person’s experience, not on
experimental data.
‒ Example: a testimonial from a celebrity
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1.4 Evaluating Scientific Information (5 of 7)
• Science in the News
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1.4 Evaluating Scientific Information (6 of 7)
• Science in the News
‒ Consider the source.
‒
‒
‒
‒
‒
Reputable?
Science background?
Advertisements?
Current?
References?
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What is the best way to prevent the common
cold? (1 of 2)
A. Take vitamin C.
B. Wash your hands.
C. Take zinc lozenges.
D. Get a cold vaccine.
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What is the best way to prevent the common
cold? (2 of 2)
A. Take vitamin C.
B. Wash your hands.
C. Take zinc lozenges.
D. Get a cold vaccine.
Explanation: Washing hands is
the only method that has been
shown to prevent the common
cold.
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1.5 Is There a Cure for the Common Cold?
• No cure or vaccine
• Best prevention: Keep your hands clean!
• No effect on cold susceptibility:
‒ Vitamin C
‒ Diet quality
‒ Exposure to cold temperatures
‒ Exercise
• But may reduce cold symptoms:
‒ Vitamin C
‒ Echinacea tea
‒ Zinc lozenges
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Variables
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Chapter Review of Learning Outcomes (1 of 2)
• Can you describe the characteristics of a scientific
hypothesis?
• Can you compare and contrast the terms scientific
hypothesis and scientific theory?
• Can you distinguish between inductive and deductive
reasoning?
• Can you explain why the truth of a hypothesis cannot be
proven conclusively via deductive reasoning?
• Can you describe the features of a controlled experiment,
and explain how these experiments eliminate alternative
hypotheses for the results?
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Chapter Review of Learning Outcomes (2 of 2)
• Can you list strategies for minimizing bias when designing
experiments?
• Can you define correlation, and explain the benefits and
limitations of using this technique to test hypotheses?
• Can you describe the information that statistical tests
provide?
• Can you compare and contrast primary and secondary
sources?
• Can you summarize the techniques you can use to
evaluate scientific information from secondary sources?
Copyright © 2019, 2016, 2013 Pearson Education, Inc. All Rights Reserved.
Copyright
Copyright © 2019, 2016, 2013 Pearson Education, Inc. All Rights Reserved.
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