Long Test Flashcards

(22 cards)

1
Q

What is Descriptive Statistics necessary for?

A

Necessary treatment for quantifiable data, especially when unveiling details.

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2
Q

Define Mean in statistics.

A

Average

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3
Q

What does Median represent?

A

Middle

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4
Q

What is Mode?

A

Most frequent

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5
Q

What does Range measure?

A

How spread

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6
Q

What does Standard Deviation indicate?

A

How far from mean; how close to mean

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7
Q

What is Skewness in a distribution?

A

Normal, if shape is normal; otherwise, skewed.

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8
Q

Define Kurtosis.

A

Peak of distribution

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9
Q

What parameters follow the standard levels?

A
  • High (75%)
  • Average (50%)
  • Low (25%)
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10
Q

What is the purpose of Inferential Statistics?

A

Provides interpretation for hypotheses, such as finding significant differences.

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11
Q

What does Pearson r show?

A

Significant relationships; correlational statistical treatment.

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12
Q

What is a one-way ANOVA used for?

A

To give a definite answer about significant relationships/effects.

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13
Q

What is the Independent Variable (IV) in the given research design?

A
  • Lecture
  • Flipped class
  • Problem-based learning
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14
Q

List the assumptions for ANOVA.

A
  • 1 DV with 3 or more levels
  • IV and ideally an unbiased sample
  • Normal distributed data
  • Interval or ratio data
  • Random sampling
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15
Q

What does a 2-way ANOVA examine?

A

The effect of 2 IVs on the DV and explores interactions between them.

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16
Q

What is the purpose of a T-test?

A

Compares two means (comparing differences)

17
Q

When do you use T-test for Independent Samples?

A

To compare the means of two independent groups (unrelated).

18
Q

When do you use T-test for Dependent Samples?

A

For two related groups or conditions.

19
Q

Define Z-test.

A

Statistical measures used to compare proportions or means between two groups.

20
Q

What is the sample size requirement for Z-tests?

21
Q

When is the standard deviation known?

A

In Z-tests for independent and dependent samples.

22
Q

What is the main difference between Independent and Dependent T-tests?

A
  • Independent - Must be independent
  • Dependent - Should be paired