Unit 4 Terms Flashcards

1
Q

Stationary Point

A

Where derivative is 0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Second Derivative

A

Assists to determine the nature of the stationary point. If the value is negative then its a max if its negative then its a min

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Global Max and Min

A

Occur at the end points of given domain.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Relationship between acceleration, velocity and position

A

The derivative of position is velocity and the derivative of velocity is acceleration.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Discrete Probability Distribution

A

Usually in a table with x on top and P(X=x) at the bottom which have a sum of 1.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Bernouli Trials

A

Is an event with 2 possible outcomes, probability of success is constant throughout trials, and trails are independent of each other.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Point of Inflection

A

Occurs when the double derivative is 0 (if there is more than 1 stationary point, a point of inflection exists)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Heron’s Formula

A

A = ½bcsinA

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Sine Rule

A

a/sin A = b/sin B = c/sin C

(check answer: biggest angle has the largest side and smallest angle has smallest side)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Ambiguous Case

A

Must check for it every time the sine rule is used.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Cosine Rule

A

c2 = a2 + b2 -2abcosC

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Random Sampling

A

When there is an equal probability of being selected

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Unit

A

A single member of a finite population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Population

A

Is the set of units that make up a particular group

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Census

A

Measures characteristics from the entire population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Sample

A

Is a subset of units taken from the entire population

17
Q

Parameter

A

Numerical measure that describes a characteristic of as population

18
Q

Statistics

A

Data from Sample

19
Q

Undercoverage Bias

A

This occurs when a random sample is taken that is not truly representative of the population you wish to target

20
Q

Nonresponse Bias

A

This occurs when a selected member cannot or will not corporate (eg people not willing to participate in a survey)

21
Q

Response Bias

A

This occurs when a selected member of the sample may lie or give misleading answers

22
Q

Population Proportion

A

This is the true proportion of the people or thing with a characteristic that occurs within the whole population.

23
Q

Sample Proportion

A

This is the number of people or thing with a characteristic that occurs within the same (observation) over the number in the sample.

24
Q

Sample Size

A

This is the number of people or things that make up the sample

25
**Observation**
For any one sample, the number of people or things that posses a certain characteristic
26
**Positively Skewed**
More likely to get less successes. Probability of Success is less than 0.5
27
**Neutral Skewed**
Roughly in the centre P = 0.5
28
**Negatively Skewed**
More likely to get higher success. Probability of success is mor than 0.5.
29
**What to write when interpreting result**
Based on a sample ___ and a sample estimate of _mean_ I am _confidence interval (%)_ from interval from ___ to ____ contains a true population p.
30
**Non-Probability Sampling**
There is no guarantee that each unit in the population has an equally likely chance of being selected.
31
**Types of Non-Probability Sampling**
Convenience, purposive and snowball.
32
**What is convenience sampling?**
Type of non-probability sampling and is a method of data collection from population members who are most conveniently able to participate in a survey.
33
**Purposive Sampling**
Survey participants are selected purely based on the judgement of the researcher
34
**Snowball Sampling**
Survey participants are encourages to use social networks and contacts to recruit additional participants.
35
**Probability Sampling**
Uses random selection. Each unit in the population has an equally likely chance of being selected.