Stats I Flashcards

1
Q

What are the two major statistical methods?

A

Descriptive stats

Inferential stats

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2
Q

What is descriptive statistics?

A

Describe collected data

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3
Q

What are inferential statistics?

A

Estimation and hypothesis testing to make decisions about populations

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4
Q

What are experimental units?

A

Object upon which we collect data (people, schools, hospitals etc)

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5
Q

What is a population?

A

All items of interest

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6
Q

What are variables?

A

Characteristics of individual experiemental units

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7
Q

What is a sample?

A

Subset of the units of a population

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8
Q

What are parameters?

A

numbers that summarize data for an entire population

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9
Q

What is a statistic?

A

numbers that summarize data from a sample, i.e. some subset of the entire population

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10
Q

Samples come from what?

A

Population or a process

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11
Q

What are the two categories of variables?

A

Categorical

Quantitative

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12
Q

What is a categorical variable?

A

The presence of absence of something

The relative weight or rank of the thing that is of research interest

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13
Q

What is a process?

A

A series of actions or operations that transforms inputs to outputs

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14
Q

What is the nominal scale?

A

Categories without order

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15
Q

What are ordinal scales?

A

Nominal variables with an inherent order among the categories

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16
Q

What are interval scales?

A

Measurable difference or interval or distance between observations

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17
Q

What is a ratio?

A

Same as interval, but with an absolute reference point

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18
Q

How is qualitative data presented?

A

Bar graphs

Pie charts

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19
Q

How is quantitative data presented?

A

Dot plot
Stem & leaf plot
Frequency distribution

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20
Q

What is a summary table?

A

Lists categories and number of elements in a category

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21
Q

What is a class?

A

One categories into which qualitative data can be classified

22
Q

What is class frequency?

A

The number of observations in the date set falling into a particualr class

23
Q

What is the class relative frequency?

A

the class frequency, divided by the total numbers of observations in the data set

24
Q

What is a class percentage?

A

the class relative frequency, multiplied by 100

25
What is a stem and leaf plot?
Tens place on the left hand side of a bar, with ones place of data on the right.
26
What is a histogram?
bar graph of non-categorical values
27
What is a dot plot?
Dots on a horizontal scale (Y axis being frequency)
28
What is a central tendency?
tendency of the data to cluster or center about certain numerical values
29
What is variability?
Spread of the data
30
n is notation for what? How about N?
``` n = sample N = population ```
31
Sample mean has what notation?
X bar
32
Population mean has what notation?
μ
33
Why is the mean not always the best measure of central tendency?
Affected by extreme values
34
What happens to the median if there is an even number of values?
average of two central points
35
What is the value of the median?
Not affected by extreme values
36
What is the only measure of central tendency that can be used on qualitative variables?
Mode
37
What is the range?
Measure of dispersion | difference between the highest and lowest values in a given set of values
38
What is the notation for standard deviation for a sample? Population?
s for sample | Sigma for population
39
Variance is what?
s^2 | Sigma ^2
40
Why do you subtract 1 from n in the denominator for variance calculations of samples?
Degree of freedom
41
What does it mean for a bell curve to be symmetric?
Mean=median
42
if mean
Left skewed
43
if mean > median, then the bell curve is curved left or right?
Right skewed
44
1 standard deviation accounts for what percent (in a normal distribution)?
68%
45
2 standard deviations account for what percent (in a normal distribution)?
95%
46
3 standard deviations account for what percent (in a normal distribution)?
99.7%
47
Which scale: simplest level of measurement--categories without order (qualitative)
Nominal scale
48
Which scale: Nominal variables with an inherent order among the categories (qualitative)
Ordinal
49
Which scale: Measureable difference or interval or distance between observations
Interval scale
50
Which scale: measureable or interval distance between observations, with an absolute reference point (such as 0)
Ratio