Week 3 Flashcards

1
Q

Number of S with … / Number of …

How would you work out the probability of a coin toss?

A

Number of sequences with heads (k)/ number of all possible sequences

Bi(k/n, q)

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

BInomial distribution, BI = …

What is Binomial distribution?

A

When there will always be two choices (Hence distributions split into 2)

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

Use of probability… Fall Range…

What is cumulative probability?

A

Using the probability that the value will fall into a certain range

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

TT probability

If you calculate the probability at both ends of data what is this called?

A

Two tailed probability

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

Think about what a continuous variable is…

What is the difference between discrete and continuous distribution?

A

Continuous distribution is when you are measuring continuous events (height, weight, error)

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

PD

What is the y axis of continuous distribution data known as?

A

Probability density

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

What does a lower p value suggest?

What does a lower P value suggest?

A

Suggests that there may be bias present

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

Outcome…

What does a higher p value suggest?

A

Suggests that the outcome isn’t surprising.

In relation to coin tossing, when the p value is higher this shows that the coin is fair in that instance

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

What is False Equality…

What is a null hypothesis?

A

Assumes nothing unusual is happening

(False equality)

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

False Positive

What is a type 1 error?

A

Rejects the null hypothesis (E.G Concluding the meds have an effect when they actually don’t)

False Positive

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

False Negative

What is a type 2 error?

A

Failure to reject the null hypothesis (E.G Meds have no effect, but they do actually work)

Almost a placebo

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

Same amount…

What are quantiles?

A

Locations of sections divided by the same amount of data points

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

How many sections do quartiles have?

A

4

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

How many sections do percentiles have?

A

100

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

What is an independent variable?

A

The variable that can change

For example, Amount of sunlight the plants get, when testing how sunlight affects plant growth

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

What is a dependent variable?

A

The variable that is measured

The ‘effect’ in the cause and effect relationship

In relation to the sunlight that plants get, the DV would be plant growth and would depend on what you change with the IV

17
Q

What is a control variable?

A

The variable that stays the same so that results can’t be immeasurable

(Plant type, amount of water…)

18
Q

Spread…

What is standard deviation?

A

A way of measuring how spread out the numbers are in a data set

19
Q

Find M (Average), Figure out distance, Square and M, Square root

How do calculate standard deviation?

A

Find the mean of the data, figure out the distance of each data piece from the average, square each distance and find the mean of the squared values, square root the mean value, that is the SD

20
Q

Can’t be…

In types of data, what is nominal data?

A

Data that can’t be ordered or counted

Qualitative, Categorical

Examples would be Country, Gender, Occupation

21
Q

Can be… but not…

In types of data, what is ordinal data?

A

Data that can be ordered but not added or subtracted

Categorical

Examples would be Spice level, or Temperature value (degrees)

22
Q

Data that can be… Difference… No …

In types of data, what is interval data?

A

Can be ordered and the difference can be measured but there is no ratio (not divisible)

Quantitative, Continuous

Examples would be Exam mark, Date or Year

23
Q

In data types what is ratio data?

A

Similar to interval data, except the data has a meaningful zero (is divisible)

Quantitative, Continuous