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Science Skills Formative Assessment '25

Last updated 7 months ago

19 questions

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Question 1

1.

The variable that is changed by the scientist.

A variable kept constant during an experiment.

The initial observation before any changes.

Question 2

2.

A balance scale for weight measurement.

A thermometer for temperature measurement.

Question 3

3.

To allow for more variables to be tested.

To make the experiment more complicated.

Question 4

4.

A testable prediction about the experiment's outcome.

A type of graph used in data analysis.

Question 5

5.

It is the variable that changes during the experiment.

It is the main factor that is being tested.

It measures the independent variable only.

Question 6

6.

Counting the number of flowers in a garden.

Measuring the height of plants in centimeters.

Question 7

7.

Units can be added or ignored during analysis.

Only one unit is necessary for all data.

Question 8

8.

It is decorative and not necessary for understanding.

Question 9

9.

To compare different categories or groups of data.

To show percentage distributions of a single variable.

To portray two related numerical variables.

Question 10

10.

To create confusion about the experiment.

To make the report longer and more detailed.

Question 11

11.

It is a final summary of results obtained.

It restricts creativity in design processes.

It guides the direction of the research and experimentation.

Question 12

12.

All variables were adequately controlled.

The hypothesis is likely to be valid based on evidence.

Question 13

13.

By distinguishing between qualitative and quantitative types.

By guessing what categories might fit.

Question 14

14.

The average value calculated from a set of numbers.

The most frequently occurring number.

Question 15

15.

Minimizing the effects of variables not being tested.

Creating new variables to test every time.

Maximizing environmental changes in each run.

Question 16

16.

Drawing conclusions without testing.

Identifying the problem or question to be studied.

Making predictions before research is done.

Question 17

17.

It complicates the data presentation.

It helps organize data for clearer analysis and comparison.

Question 18

18.

Ignoring data entirely when reporting results.

By writing lengthy descriptions without visuals.

Using charts or graphs that clearly represent the findings.

Question 19

19.

Examining data to identify patterns or trends.

Printing data for documentation purposes only.