mmierda Flashcards

(31 cards)

1
Q

When do we use T-test?

A

when compearing 2 different groups
but needs to be quantitative

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2
Q

what is an unpaired group and to which test is it?

A

comparing 2 groups for example boys and girls

t test

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3
Q

what is an paired group and to which test is it?

A

it is when you are compearing 2 groups (before and after)

t-test

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4
Q

What is p-value

A

A number that tells you if the difference is real or just by chance

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5
Q

p value needs to be less than —- to reject null hypothesis

A

0.05

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6
Q

What does the ANOVA test do?

A

it checks if 3 or more groups are different

for example comparing size

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6
Q

When do we use the ANOVA test?

A

When Comparing More Than Two Groups

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7
Q

What is a correlation test?

A

It checks if two things are related. For example, checking if people’s weight is related to their height.

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8
Q

It checks if two things are related. For example, checking if people’s weight is related to their height.

A

correlation test

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9
Q

what is the r value and to what test is it from?

A

Tells you how strong the relationship is.

correlation test

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10
Q

how does r value work?

A

+1 means a strong positive relationship (the bigger one thing gets, the bigger the other gets).

0 means no relationship (one thing doesn’t affect the other).

-1 means a strong negative relationship (the bigger one thing gets, the smaller the other gets).

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11
Q

Graphical Representations what is it

A

the graphs

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12
Q

Column Graph

A

Similar to box plots but shows the average and spread in bars.

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13
Q

Box and Whisker Plot

A

Shows how spread out your data is and where the middle point is. Great for comparing different groups.

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14
Q

Pie Chart

A

Shows parts of a whole, good for comparing categories (like which fruit people like best).

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15
Q

A graph that shows how two things are related, like weight and height.

16
Q

Scatterplot

A

A graph that shows how two things are related, like weight and height.

17
Q

Shows parts of a whole, good for comparing categories (like which fruit people like best).

18
Q

Similar to box plots but shows the average and spread in bars.

19
Q

Shows how spread out your data is and where the middle point is. Great for comparing different groups.

A

Box and Whisker Plot

20
Q

what is a Inferential Statistics

A

(Making Decisions Based on Data)

21
Q

Independent Variable what is it?

A

This is the factor you change or manipulate in your experiment to see if it has an effect on something else. basicamente la causa

22
Q

what does a Inferential Statistics do?

A

Helps you make guesses about a big group based on a small sample. For example, predicting how all students in a school might perform on a test based on a few students’ scores.

23
Q

what are the variables for independent and what are the meaning of each one?

A

The independent variable is usually a qualitative (like categories or groups) or quantitative (like numbers, measurements) factor.

24
what is a dependent variable?
This is what you measure or observe in the experiment. It "depends" on the changes you make to the independent variable.
25
what is a control variable?
These are the variables that you keep the same throughout the experiment to make sure that any changes you see in the dependent variable are only because of the independent variable.
26
what are the variables for dependent and what are the meaning of each one?
The dependent variable is usually quantitative because it can be measured or counted.
27
research question
This is the main question you are trying to answer with your experiment. It should clearly state what you are investigating.
28
null hypthesisi
This is a statement that says there is no effect or no difference between the groups or variables you are testing. It’s what you are trying to prove wrong.
29
what are the names for all thetest you can preform
ANOVA T-Test Correlation CHisquare
30
what are some test that are part of the inferential statistic?
Examples of tests: T-test (compares the means of two groups) ANOVA (compares the means of three or more groups) Chi-Square (tests the relationship between categorical variables) Regression (predicts relationships between variables)