Unit 1 Flashcards

(38 cards)

1
Q

what is descriptive statistics? Examples?

A

describes what is in your data (summarizing your data)
ex. averages, percentages, probabilities, tables, graphs

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2
Q

what is inferential statistics?

A

allows us to make inferences about a populations based on the data from a sample

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3
Q

what is a variable give some examples

A

characteristic of person, place or thing ex. stress level, age, gender, religion

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4
Q

what is a value? give some examples

A

The possible categories or numbers within a variable
male or female, the different religions

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5
Q

what is a score? give some examples

A

An individual’s specific value on a variable

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6
Q

What are the 4 types of variables

A

nominal (categorical variables)
Rank-order variables (Ordinal variables)
Equal-Interval or Interval Variables
Ratio Data

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7
Q

What are nominal variables (4)

A

categorical variables
qualitative
order does not matter
lowet level of measurement

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8
Q

what are rank order variables also called

A

ordinal variables

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9
Q

what are ordinal variables

A

used to rank and order matters
differences cannot be measured
data is ordered in a meaningful way
ex. race places (1st, 2nd, 3rd)
ranking experiences - excellent, good, satisfactory, bad

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10
Q

what are equal interval or interval variables

A

order matters
no true zero starting point
there is mathematical difference between the values that can be measured and has meaning
ex. temperature

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11
Q

what type of variables are opinion surveys

A

intervals

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12
Q

what are ratio data variables

A

order matters
difference is measurable
contains a zero starting point
precise mathematical form of measurement
ex. grades

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13
Q

what types of variable have a meaningful order

A

ordinal, interval and ratio

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14
Q

what types of variables have a measureable difference

A

interval and ratio

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15
Q

what types of variables have a true zero starting point

A

ratio

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16
Q

what are the two types of numerical data

A

discrete
continuous

17
Q

what is discrete data

A

anything that can be counted
whole numbers
cannot be subdivided further

18
Q

what is continuous data

A

based on measurements
can include decimals
can be subdivided into smaller units

19
Q

what are the two types of quantitative variables

A

discrete and continuous

20
Q

what are discrete variables

A

distinct and separate numbers

21
Q

what are continous quantitiative variables

A

measurements and fractions

22
Q

what is the difference between a statistic and a parameter

A

statistic is based on a sample (small portion of the population)
parameter is based on the entire population

23
Q

is the following a statisitic or parameter?
the average weight of all moles in the US

24
Q

statistic or parameter? The average height of 100 cats in the state of California

25
statistic or parameter: the average test of 20 students in a class of 500
statistic
26
statistic or parameter: the average test score of all students in a class
parameter
27
what is a frequency table
a way of summarizing and organizing data made of two columns the values or class of intervals and their frequencies helps understand what values are common and which are rare
28
how do you make a grouped frequency table
1. determine the range (difference between highest and lowest 2. decide how many intervals to use 3. dtermine interval width
29
what do we call the range with the highest frequency in a histogram
the mode
30
what is a histogram
displays frequency table data graphical display of frequency
31
if a histogram displays categorical data what is it called
bar graph
32
where is the dependent and independent variable on a historgram
indpendent on x dependent on y
33
what are the three shapes for a distribution of data
unimodal-one mode (one peak) bimodal - two modes (two peaks) multimodal: several high discrenable points
34
what side is the tail on a negatively skewed distribtuion
left
35
What is a symmetrical distribution
mean = medial = mode; mirror image of data on either side
36
what determines the skew on a distribution
the tail i.e. left skew - tail skews to the left towards the negative values *negatively skewed* i.e. positive skewed - tail stretches towards the right towards the positive numbers
37
what is the order of the mean, median and mode for a positively skewed distribtuion
mode < median < mean MEAN IS ALWAYS PULLED TOWARDS THE TAIL
38
what is the order of the mean, median and mode for a negatively skewed distribution
Mean < Median < mode