Week 1 and 2 ( welcome with descripitive stats Flashcards

(36 cards)

1
Q

Who was Florence nightingale?

A

She was a nurse and a pioneer in data visualization, who used her passion for statistics to save lives of soldiers during the Crimean war (1853-56).

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2
Q

What did Florence nightingale do?

A

She presented the death toll in a reveloutionary way,using colours to show, the distrubtions of death from different reasons, leading to urgent change and improvement in healthcare.

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3
Q

What is a census?

A

Is a way to find and record information about every member of a population, not a SAMPLE.

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4
Q

What are the 2 types of variables?

A

Catogerical and Numerical variables

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5
Q

What is a catogerical variable?

A

Qualititative data no numbers involved

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6
Q

What is Catogerial data split into?

A

Ordinal ( Catogeries with implied order e.g. ranking of unis) and Nominal ( Named catogeries e.g. country of origin)

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7
Q

What is a Numerical variable?

A

Quanitiative variables

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8
Q

What are Numerical data split into?

A

Continous (any numerical value e.g. weight) and discrete data ( only particular numbers e.g. eggs in a basket)

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9
Q

Catogrise these types of graphs as either catogerical or Numerical variables

Histogram

Bar chart

Scatter plot

Time series

Pie chart

Ogive

A

Bar chart ( Catogerial)

Pie chart (Catogerial)

Numerical

Histogram

Ogive

Time series

Scatter plot

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10
Q

Catogrise these

Gender of the respondent

household income

life satisfaction rating on 10 point scale

A

( catogerial variable, nominal)

( numerical variable, continous)

( catogerial variable, ordinal)

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11
Q

What is a nice diagram to show the difference between a Catogerial variable and a Numerical variable and its sub scripts.

A
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12
Q

When drawing a frequency table what are the 4 coloums it consists of?

A

Classes, frequency, percentage frequency and CF

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13
Q

Find the percentage frequency and culumative frequency?

A
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14
Q

For frequency tables lets say we have 10

A

The lower limit is included but the upper limit is not.

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15
Q

Do Bar chart, bars touch each other?

A

No

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16
Q

What is an ogive?

A

Ogive is a culumative frequency curve.

17
Q

For a frequency table if the classes are not overlapping,then what data do we need?

A

Frequency and Percentage frequency.

18
Q

What is the notation of summation that we use in stats?

A

The top of the symbol signifies the end

The bottom of symbol signifies the start

19
Q

What does this mean?

A

It means add everthing from 1 to n

20
Q

X1 = 8 X2 = 2 X3 = -5 X4= 0.3 X5 = 9 X6 = 0 X7 = -3 X8 = 4 X9 = 10

Calculate the following

21
Q

What is the notation of the mean?

22
Q

How do you calculate mean of a frequency table?

A

Midpoint X Frequency, add them together then divide by n

23
Q

Calculate the mean

24
Q

What is a big disadvantage of the mean?

A

It is affected by outliers

25
What are the 2 sceanrios of calculating the median?
26
Calculate the median?
27
Calculate the median?
28
What is an advantage of the median?
Not affected by outliers
29
How do we find Median of a frequency table?
Find the midpoint of each class. Calculate the percentage frequency of each class. Calculate the cumulative percentage frequency of each class. Find the first class with cumulative percentage frequency \> 50%. Approximate the median using the midpoint of that class
30
Calculate the median
31
On a bar chart how would we identify the mode?
It would be the one with the highest bar.
32
• If Mean \> Median what does it mean about the data?
the data is right/positively skewed.
33
If Mean \< Median
the data is left/negatively skewed
34
If the mean = median what does this mean?
The data is not skewed
35
36
Harder Q
On y axis is % CULUMATIVE FREQUENCY