Unit Tableau C1 Flashcards

1
Q

Benefits of spas

A
  1. User friendly: point and dick interface
  2. Comprehensive statistical capabilities: wide range of statistical procedures
  3. Dat a management_ robust management tools like import, merge

4 Data visualisation= a lot of graphical option like bar charts, histograms.
5. Automation y scripting: programming capabilities helps to automate repetitive fast.

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2
Q

Limitations of sass

A

Cost
Programming is limited
Steep learning close
Memory limitation
Limited customniation

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3
Q

Data view purpose

A

Data entry = type value
Data inspection - scroll
Data editing = modify insert ou delete
Case selection = can select subsets for analysis
Data trans formations = simple like sorting, transposing

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4
Q

2 main windows of spot

A

l. Data view
a. Variable view

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5
Q

Variable view purposes

A

Variable definition: define new variables
Variable properties = view and modify various prop of existing variables
Value labels= can assign descriptive value labels to numeric codes
Missing value handling: helps you to define have you want to handle missing values
Variable documentation
Variable alignment

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6
Q

4 main type ofmeasurement scales to represent variable

A
  1. Nominal scale = to categorise data without any inherent order or value eg. Gender, race
  2. ordinal scale -to categorisedata which can he ranked ordered ag: educational level
    3.. Interval scale - which has equal - interval but tack zero o point ag: calcium, t
  3. Ratio scale = equal interval and zero point ag: height weight.
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7
Q

3 types of label in Saos

A
  1. Variable label F descriptive name for each variable sg: instead of gender, use gender of participant
  2. Value label = descriptive label to numeric codes eg: 1 for male, Z for female
  3. Ale label = short title for entire data file
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8
Q

Benefits of using label

A

. Improved data interpretation
Improved output readability
Reduced error
Better documentation

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9
Q

How to perform reliability test

A

I prepare data
2. Analyse → scale → reliability analysis
3. Select variables
4. Select model= Alpha
5. Run the analysis’s click ok

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10
Q

Normality of data

A

Degree to which the distribution of continuous variable follows normal distributions I Gaussian distribution or bells curve

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11
Q

Normal distribution properties

A

1-bell shaped = highest it is mean
2 symmetry: symmetric around mean
3. Mean, median mode are equal
4. Area under curve is l

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12
Q

Tests are classified into:

A
  1. Parametric test = assumptions about distribution le normal distribution ag; t-test, analysis of variance, SPCC, regression analysis
  2. Non parametric test ‘ = No assumption about distribution, data is ranked ago S chi square test.
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