Lecture 8 - Data Analysis

Question 1

In Data Analysis researcher may impact the results. True/False?

Answer 1

True

Question 2

Traits of Qualitative Data (3)

Answer 2

• Non-numerical information
• Often textual
• Focuses on thematic analysis

Question 3

Traits of Quantative Data(3)

Answer 3

• Numerical
• Best described in numbers
• Uses statistics as a method

Question 4

What is a confidence interval? (CI)

Answer 4

Measure of how confident we are in our results

Question 5

What is a good confidece level?

Answer 5

95%

Question 6

What typ of statistics are used to describe data with means, modes, standard deviation and such?

Answer 6

Descriptive Statistics

Question 7

What type of statistics asre used to draw conclutions, correlations, hypothesis testing?

Answer 7

Infernal Statistics

Question 8

What are the 4 data levels?

Answer 8

• Nominal
• Ordinal
• Interval
• Ratio

Question 9

What type of data is Nominal Data?

Answer 9

Categorical data. Ex: Which animal is your favourite?

Question 10

What descriptives does Nominal Data use?

Answer 10

Frequencies and percentages

Question 11

What type of data is Ordinal Data?

Answer 11

Ordered data with undefined or unequal lengt between steps. Ex: How tasy is vanilla ice cream? - Tasty, - Neutral, - Untasty

Question 12

What descriptives does Ordinal Data use?

Answer 12

Frequencies, percetages and median calculation

Question 13

What type of data is Interval and Ratio?

Answer 13

Ordered data with equal distance between data points

Question 14

What is the difference between Interval and Ratio data?

Answer 14

-Interval: no defined 0
-Ration: defined 0

Question 15

What is Standard Deviation?

Answer 15

A measure of how dispersed the data is

Question 16

Inferential Statistics is a good way to use a smaller group to make an assumtion for the population at large? True/False?

Answer 16

True

Question 17

What significance level(SI) should Inferential Statistics have?

Answer 17

95%

Question 18

What are the 2 main approaches to Inferential Statistics?

Answer 18

• Hypothesis testing
• Correlation testing

Question 19

What is a null hypotheses?

Answer 19

Opposite variable of a hypotheses.

Question 20

What would the null hypothesis be of “Everybody likes ice cream”?

Answer 20

“We cannot prove that everybody likes ice cream”

Question 21

What is a Type 1 Error in Statistical Errors?

Answer 21

Reject a true null hypothesis (false positive)

Question 22

What is a Type 2 Error in Statistical Errors?

Answer 22

Accept a false null hypothesis (false negative)

Question 23

What tests can be used to get the p-value?

Answer 23

• T-test
• Rank-Sum test
• Chi2

Question 24

What is linear correlation?

Answer 24

Correlation between 2 variables where one variable increses with the other

Question 25

What is p-hacking?

Answer 25

-Shotgunning statistical results until something is positive

• Something will be positive sooner or later

Question 26

What is Thematic Analysis

Answer 26

Systematically generating codes and themes from qualitative data

Question 27

What are the 6 steps of Thematic Analysis?

Answer 27

1. Familiarizing with the data
2. Generating initial codes
3. Searching for themes
4. Reviewing themes
5. Defining and naming themes
6. Producing report

Question 28

What is an example of a Thematic Analysis?

Answer 28

Ex: Inteviews with ice cream manufacurers about how their changes to recepies might change peoples opinions on favourite ice cream flavours.