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Science Skills Formative Assessment '25

Last updated 5 months ago

19 questions

1 point

1

Question 1

1.

The variable that is changed by the scientist.

A variable kept constant during an experiment.

The initial observation before any changes.

1 point

1

Question 2

2.

A balance scale for weight measurement.

A thermometer for temperature measurement.

1 point

1

Question 3

3.

To allow for more variables to be tested.

To make the experiment more complicated.

1 point

1

Question 4

4.

A testable prediction about the experiment's outcome.

A type of graph used in data analysis.

1 point

1

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.

1 point

1

Question 6

6.

Counting the number of flowers in a garden.

Measuring the height of plants in centimeters.

1 point

1

Question 7

7.

Units can be added or ignored during analysis.

Only one unit is necessary for all data.

1 point

1

Question 8

8.

It is decorative and not necessary for understanding.

1 point

1

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.

1 point

1

Question 10

10.

To create confusion about the experiment.

To make the report longer and more detailed.

1 point

1

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.

1 point

1

Question 12

12.

All variables were adequately controlled.

The hypothesis is likely to be valid based on evidence.

1 point

1

Question 13

13.

By distinguishing between qualitative and quantitative types.

By guessing what categories might fit.

1 point

1

Question 14

14.

The average value calculated from a set of numbers.

The most frequently occurring number.

1 point

1

Question 15

15.

Minimizing the effects of variables not being tested.

Creating new variables to test every time.

Maximizing environmental changes in each run.

1 point

1

Question 16

16.

Drawing conclusions without testing.

Identifying the problem or question to be studied.

Making predictions before research is done.

1 point

1

Question 17

17.

It complicates the data presentation.

It helps organize data for clearer analysis and comparison.

1 point

1

Question 18

18.

Ignoring data entirely when reporting results.

By writing lengthy descriptions without visuals.

Using charts or graphs that clearly represent the findings.

1 point

1

Question 19

19.

Examining data to identify patterns or trends.

Printing data for documentation purposes only.