Clinical statistics 1 Flashcards

1
Q

Why is it important for dental students to know biostatistics

A
  • Enable research skill to make independent judgement
  • Know which sources are reliable
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2
Q

what are the two types of data

A
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3
Q

what is categorical data

A

the data is in the form of category

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4
Q

what is quantitative data

A

means the data is numerical format.

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5
Q

Name types of categorical data

A
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6
Q

what is binary data

A
  • most common categorical data
  • only has 2 outcomes
  • YES/NO
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7
Q

what is nominal data

A

order does not matter in categories

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8
Q

what is ordinal data

A
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9
Q

what is quantitative data

A

we can understand it in terms of numerical values, and we can do arithmetical calculation on those values, which for categorical data, you cannot add them up, can you?
Examples include counting, time, age, height and etc.

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10
Q

What is Discrete data

A

It can be discrete, such as counting, you cannot have 1.5 children in your family, or 22.3 people in your class.

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11
Q

what is continuous data

A
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12
Q

What is descriptive statistics

A

Descriptive statistics is a way that we present our data so that people can understand, without looking at the original raw data. There are two ways we can do: graphical technique, or numerical technique.

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13
Q

what to look out for when data visualtions

A
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14
Q

what is the first rule of statitistics

A
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15
Q

what is frequency plots

A
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16
Q

How is continuous data plotted

A
17
Q

Describe distribution shape and Box and whisker plot

A
18
Q

How can we describe data numerically

A

Another way to describe the dataset is to use numerical values to describe ‘central tendency’ or the ‘dispersion’. In this course we just focus on these two properties.
For central tendency, there are three ways to describe that: mean, median and mode.
For variation, we commonly use variance and std.

19
Q

what are the 3 measures of central tendency

A
20
Q

what is the mean

A
21
Q

what can the mean be affected by

A
22
Q

what is the median

A
23
Q

is the mean affected by extreme values

A

no

24
Q

what s the mode

A
25
Q

what is the mode affected by

A
26
Q

which measure of central tendency is best

A
27
Q

what are measures of dispersion

A
28
Q

what is the range

A
29
Q

Describe quartiles

A
30
Q

what is the interquartile range

A
31
Q

what is sample variance

A
32
Q

why squared deviations

A
33
Q

what is sample standard deviation

A
34
Q

what does small standard deviation mean

A

most data is around the centre - not much spread of data

35
Q

describe shape of dsitibtuion and what it means if a data is left- swelled , symmetric or right skewed

A