Unit 3 L3 Nationals Applied Science

A null hypothesis states that (a)   .

• There is a relationship between var
• There is no relationship or causali
• All variables are dependent
• Hypotheses are always true

Which of the following is a key feature of a good hypothesis?

• It must be a proven fact

• It must be able to be tested scientifically

• It must be a random guess

• It must be a mathematical equation

What is an example of a hypothesis from observations?

• The tree is tall and not in the shade

• If a plant gets more sunlight, it will grow taller

• The flowers are shorter and in the shade

• The sky is blue

What is a key consideration when planning an investigation?

• The weather conditions

• The availability of snacks

• The selection of appropriate equipment and techniques

• The number of participants

What is the correct volume measurement for using a 10 mL measuring cylinder?

• 100 cm³

• 10 cm³

• 50 cm³

• 25 cm³

What is a hazard according to the document?

• A harmless substance

• The equipment or substance that can cause harm

• A safety measure

• A type of risk

(a)   is a common risk mentioned in the document.

• Sunburn
• Chemical burns
• Frostbite
• Dehydration

What is a common control measure for hearing damage?

• Wearing gloves

• Wearing earplugs

• Wearing sandals

• Using a fan

Match the following characteristics with their descriptions in scientific research methods.

• Characteristic that lacks precision and allows for changes.

• It should be open to interpretation.

• Characteristic that relies on preconceived notions.

• It should be a step-by-step set of instructions.

• Characteristic that provides clear and sequential guidance.

• It should be vague and flexible.

• Characteristic that allows for multiple understandings.

• It should be based on assumptions.

Match the following statements with their consequences.

• Data analysis with multiple variables.

• The data remains meaningless.

• Not having a big enough range of data.

• The data becomes more accurate.

• Having a wide range of data.

• The data becomes more complex.

• Collecting precise measurements.

• The data becomes more meaningful.