ADVANCED BIO COMPUTER ASSIGNMENT

By: Jennifer Bush

Different Sciences

Pure Science Applied Science Pure science is based solely on the

sake gaining more of knowledge. It applies experimentation and technology to finding out more of the unknown. Examples would be things such as finding out how humans evolved, making faster cars, and learning about wild animal’s habits.

Applied science is for the bettering of man kind. It tries to find ways to progress the human race and help them live more efficiently. Examples would be doctors using science to find better and safer ways to cure cancer, or engineers finding better power sources.

Inferences An inference is a logical conclusion based

on what you already known. They can be found in the conclusion an experiment. Examples would be like, the ball falls to the ground due to the force of gravity pulling it down or Hannah's wearing a jacket so it must be cold outside.

Fair Test

A fair test is when you control all the variables in an experiment. An example would be testing how water changes when you apply different substances. You control all the variables in this experiment.

Variables Independent variable-the independent variable is the

variable that you as the experimenter changes. Dependent variable- the dependent variable is the

variable that is affected by the change in the independent variable.

Constant variable- the constant variable is the variable that stays the same through out the experiment.

Example: How does the amount of water feed to plants effect the height it grows?

IV: amount of water feed to plant.

DV: height of growthCV: type of plant used

Observations Observations are statements based

on what you’ve observed with your 5 senses (something you’ve hears, seen, felt, tasted, or smelled). It can’t be opinionated. For example: 1)I heard the bird singing. 2)I saw the dog run away. 3) There was only one pen.

Conclusions A conclusion is the summary of your

experiment. It states weather your hypothesis was right or wrong and what was learned in the experiment. For example: My hypothesis was incorrect. Growing a plant in darkness will not make it grow taller. Growing the plant in sun light will make it grow taller than the plant in darkness.

Graphs

Bar Graphs Line Graphs A bar graph is used to

compare things. It will usually have a key that tells you which bar is for what. For example: How the temperature effects the number a bugs seen.

A line graph is made when the data involves time. Any other graph will be made into a bar graph. For example: How the amount of time effects the number push-ups.

10 20 30 4002468

10

beetlesladybugsflies

5 10 15 200

204060

tarryallenjeff

Temperature (degrees Fahrenheit)

Number of

bugs

Number of push-

ups

Amount of time(minutes)

IV IV

DV

DV

Statements

Qualitative Statements

Quantitative Statements

Qualitative statements are based on things that do not involve numbers. For example: 1) The sky is blue. 2) The computer was hot. 3) The paper was white.

Quantitative statements are based on things that involve numbers. For example: 1) There are ten people on the elevator. 2) There are five birds. 3) There was one cat on the wall.

Mean/Medians/Modes Mean- the mean is the average

of a whole set of numbers. For example: for the group of numbers 1 3 5 7 9 the mean would be 4.8.

Median- the median is the number in the middle of a set of numbers. For example: for the set of numbers 2 4 6 8 10 the median would be 6.

Mode- mode is the number that is most repeated in a group of numbers. For example: for the set of numbers 1 4 2 3 3 the mode would be 3.

Hypothesis and TheoriesHypothesis Theory A hypothesis is an educated

guess on what you believe is going to happen in a experiment. It is also an if and then statement. For example: if the ice cream is placed on the window sill then it will melt faster than chocolate placed on the window sill.

A theory is a proven hypothesis. It is tested by many different people, many times. All of which come to the same conclusion. For example: the big bang theory is a theory.

Groups in an ExperimentControl Group Experimental Group

A Control group is left alone in an experiment and is only observed to see what happened to it.

An experimental group is what is effected by the independent variable in an experiment. It is then observed to see what happens.

For example: a student wants to know if drinking water before a test will allow him to do better on a test than if he drank water after a test. he has group A drink water before a test and has group B take the same test. The control group is group b and the experimental group is group A.