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Psychology Statistics

Authored by B H

Science

10th Grade

NGSS covered

Used 16+ times

 Psychology Statistics
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13 questions

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1.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

When comparing data, if one has a larger Standard Deviation this means

It has a bigger average

The data is less variable and spread

The data is more variable and less consistant

It has more participants responding

Tags

NGSS.HS-LS3-3

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

For a P value to be significant it must be

More than 50%

Less than 50%

0.10 and below

<0.05

3.

MULTIPLE SELECT QUESTION

2 mins • 1 pt

We can calculate and r vulue using Pearson's Correlation Coefficient to

Show the strength of relationship between two variables and how this close this is to the line of best fit

See how spread data is

conclusively determine if one variable causes changes in the other variable

Make the graph look better by putting a straight line in

4.

MULTIPLE SELECT QUESTION

2 mins • 1 pt

What is true about error bars?

They only show Standard Deviation

If they are small, the data is more accurate than if they are large.

If they are big, data is more reliable than if they are small

If they overlap, this suggests that data is not statistically significant

Tags

NGSS.HS-LS4-3

5.

MULTIPLE SELECT QUESTION

1 min • 1 pt

What are the two conditions that must be present in a data set for a t-test to be correctly used?

The sample size of each group in the data must be more than 20

Heaps of people have been used

It is longitudinal research, using one group

The data must be normally distributed

6.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Media Image

Which r value/s indicates the strongest relationship?

-0.7

-0.3

0.3

0

0.7

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Identify the type of relationship between weight and price.

The price is never 0 on the graph

There is a positive linear correlation between weight and price

There is a negative linear correlation between weight and price

The price gets high at the end of the graph

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