Data & Tech

Question 1

What is discrete data?

Answer 1

Exact values that can be counted

Question 2

What are continuous variables?

Answer 2

Values within a range - eg age 18-24

Question 3

Information should be ACCURATE. What does this stand for?

Answer 3

Accurate
Complete
Cost-beneficial
User targeted
Relevant
Authoritative
Timely
Easy to use

Question 4

Match the key terms to their definitions

a) Descriptive statistics
b) Inferential statistics
c) Exploratory data analysis
d) Confirmatory data analysis

1. Using statistical methods to confirm a pre-determined hypothesis
2. Statistical methods that deduce the characteristics of a bigger population from a small but representative sample
3. Identifying relationships in data sets
4. Statistics that summarise the data in a data set

Answer 4

a4
b2
3c
d1

Question 5

Match the key terms to their definitions

a) Simple Random Sampling
b) Systemic Sampling
c) Stratified Sampling

1. All items are assigned a number. First number randomly chosen, then every nth number
2. All items are assigned a number. Random number generator selects sample
3. Population is grouped - samples are selected from group based on representation of population

Answer 5

a 2
b 1
c 3

Question 6

What are type 1 and type 2 errors in hypothesis testing?

Answer 6

Type 1: False positive, where the null hypothesis is true but is rejected because the sample results are significantly different

Type 2: False negative, where the null hypothesis is false but is accepted because the sample agrees with it

Question 7

What are the four Vs of big data?

Answer 7

Volume
Velocity
Variety
Veracity - trustworthiness

Question 8

What is the difference between structured and unstructured big data?

Answer 8

Structured - collected with a purpose in mind

Unstructured - collected without an objective