part 2 Flashcards

(44 cards)

1
Q

In psychology what is said about data which can taken into an account

A
  • In psychology, data that is numerical but whose values repeat and can be grouped into an a count is called quantitative data
  • in stats data that isn’t numerical but whose values repeat and can be grouped into an a count is called qualitative data
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2
Q

what two forms does quantitative data come in

A

Quantitative data comes in two forms:

  • Data with numerical values, for instance the number of patients (B) and anxiety ratings on a 5-point scale (F).
  • Non-numerical data whose values repeat so can be grouped and counted up, for instance mental health conditions (C) and biological sex (G).
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3
Q

In statistics, blood group (A, B, AB, O) is classified as qualitative data. Explain why psychologists consider it to be quantitative.

A

Although blood group isn’t numerical, it can be classified into groups (A, B, AB, O) and the number of people in each group can be counted up.

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4
Q

A psychologist is interested in how the ability to recall dreams changes with age. She asks 20 participants to keep a record of their dreams in a journal for a week, then collects their notes.

Question 5. Give an example of some quantitative data the psychologist could also collect.

A

The number of dreams participants remember in a week, the number of days participants record having no dreams, the number of positive versus negative dreams, the number of words participants use to record their dreams, the number of adjustives used to describe dreams, the number of dreams recalled each night.

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5
Q

what are frequency tables

A

A table with the categories in the first column and the frequency count for each category in the second column is called a frequency table.

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6
Q

what is nominal and ordinal data

A

Nominal data exist in categories with no natural order, such as favourite paintings and lunch options.
Ordinal data exist in categories with a natural order, such as finishing positions in a race and rankings on a scale.

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7
Q

what is ratio data

A

data that takes on number values, from which we can tell exactly how much bigger one value is than another

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8
Q

difference between interval and ratio data

A

i- can go below zero, qualitative data

r- cant go below zero, quantitative

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9
Q

what is discrete and continuous data

A

two types of quantitative data
d- restricted to just certain numbers ie no. siblings
c- not restricted to certain numbers ie height

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10
Q

what type of data can be continuous

A

ratio and interval

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11
Q

what type of data can be discrete

A

nominal, ordinal, ratio, interval.

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12
Q

what does the x and y axis display on a frequency graph

A

x - continuous data

y- frequency count

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13
Q

what does normally distributed data look like

A

A curve that is symmetrical around the middle and shaped like a bell curve

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14
Q

how to create a frequency table

A

To produce a frequency table, we categorise the data into groups (i.e. number of words remembered) and count up the number of participants in each group. For example, there are 3 participants who remembered
6 words.

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15
Q

how is skewed data distributed

A

asymmetrically

when data isnt symmetrically distrubuted around the middle we say that it is skewed

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16
Q

what is a positive skew

A
  • data is centred to the left

- has a long tail on the right

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17
Q

what is a negative skew

A
  • data centred to the right

- has a long tail on the left

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18
Q

what are histograms

A

Histograms are graphs that represent frequency counts or frequency for continuous data that has been grouped into categories.

19
Q

frequency graphs show the distribution of what type of data

A

continuous

non grouped

20
Q

bar chart

A

Bar charts display frequency counts for discrete data, which may or may not be grouped. There must be gaps between the bars to show that the data is not continuous.

21
Q

what is the central tendency

A

where the middle of the distribution is

22
Q

two important features of distribution

A

CT- tells us where the centre of the distribution is located
dispersion - tells us how spread out the distribution is

23
Q

what does the spread refer to

A

Spread refers to the data points, not the frequency.

24
Q

How are the values of mode medium and mean with a a normal distribution

A

they are all the samev

25
how are the values of the mode, median and mean are all with a positive skew
the same
26
how are the values of the mode, median and mean are all with a negative skew
different
27
where is the mode, median and mean located on a positively/negatively skewed graph
For a distribution with a negative skew, the median is to the left of the mode, and the mean is to the left of the median. If the distribution had a positive skew, the median would be to the right of the mode, and the mean would be to the right of the median.
28
where are the mode mean and median located in a normal distribution
same place
29
How can measure the dispersion of distribution
by calculating the range
30
what is standard deviation
a measure of how spread the data points are from the mean
31
what does a bigger standard deviation mean
the further away, on average, the data points are from the mean
32
what does a bigger range mean
lowest and highest values in the data set are further apart
33
how to calculate standard deviation
1, find the mean of the set of data 2. subtract the mean calculated in step 1 from each individual data point 3. square the value calculated in step 2 4. find mean of squared values in step 3 5. find the square root of the value found in step 4
34
dispersion
tells us how spread out the distribution is
35
mode
most frequently occurring value, measures central tendency of data
36
how to work out mode in a set of data/ collumn
find the highest frequency number and then pick the number next to it in the next column. This is the mode we do this when there is not more than 1 set of data also when the more than 1 set of data is lower than the method used above
37
range
A measure of dispersion
38
how to calculate range
in frequency graph take the biggest away from the smallest on the graph text to the f graph on a distribution take the biggest from the smallest
39
facts about modes
mode is not always centre of distribution | multiple peaks means multiple modes
40
mean
The sum of all values in the data, divided by the number of values
41
Median
value that splits the data in half
42
how to calculate median
- rearrange values highest to lowest | - the number in the middle is the median
43
where is the mode located in a distribution
at the peak
44
where are the mode, mean and medium located in normal distribution
all the same value found at the peak