Statistical Methods Flashcards

1
Q

• data
• statistical methods
• art
• science
• can neither prove nor disprove anything
• it is just a tool
• discipline concerned with the treatment of numerical data derived from group of individuals

A

Statistics

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2
Q

• branch of statistics
• applied to biological or medical science

A

Biostatistics

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3
Q

Biostatistics various steps

A

generation of hypothesis
collection of data
application of statistical analysis

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4
Q

• know the data
• it’s distribution
• it’s analysis

A

Biostatistics

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5
Q

In order to draw a valid conclusion

A

Biostatistics

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6
Q

2 branches of Statistical Method

A

Descriptive Statistics
Inferential Statistics

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7
Q

Distribution of population measurements by providing types of data, estimates of central tendency, measures of variability

A

Descriptive Statistics

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8
Q

3 Types Central Tendency

A

mean, mode, median

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9
Q

Two Types of Variability

A

standard deviation, correlation coefficient

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10
Q

Used to express the level of certainly about estimates includes hypothesis testing, standard error of mean, confidence interval

A

Inferential statistics

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11
Q

Three Types of Data

A

Nominal
Ordinal
Interval

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12
Q

Observation recorded during research constitute

A

Data

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13
Q

Simply assigned “names” or categories

A

Nominal Data

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14
Q

Based on presence or absence of certain attributes/characteristics

A

Nominal Data

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15
Q

Without any ranking between the categories

A

Nominal Data

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16
Q

It also includes binomial data, which refers to two possible outcomes

A

Nominal Data

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17
Q

Expressed as scores or ranks. Also called as ordered, categorical or graded data

A

Ordinal Data

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18
Q

Characterized by equal and definite interval between 2 measurements

A

Interval Data

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19
Q

Types of Interval Data

A

Continuous
Discrete

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20
Q

Can take any value within a given range

A

Continuous Data

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21
Q

Usually assigned integer values i.e does not have fractional values

A

Discrete Data

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22
Q

Average, Common measure of central tendency, Most widely used in calculations of averages, Least affected by sampling fluctuations

A

Mean

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23
Q

Middle value, Used for scores and ranks, Best indicator of Central Value

24
Q

Most frequent value, the point of maximum concentration, Used when values are widely varying, Rarely used in medical studies

25
Tells you on average how much any given observation is different from the mean
Standard Deviation
26
It tells you on average how far each score lies from the mean
Standard Deviation
27
In normal distributions, a standard deviation means that values are generally far from the mean
High Standard Deviation
28
In normal distributions, a standard deviation indicates that value are clustered close to the mean
Low Standard w
29
Describes the Variability of observation about the mean Describes the _____ of the population Measures the ______ of a data distribution Measures the _______ between each data point and the mean
Standard Deviation Scatter Spread Typical Distance
30
To calculate SD, we need it square called
Variance
31
The average square deviation around the mean
Variance
32
We divide by the number of data points
N
33
We divide by one fewer than the number of data points
N-1
34
Measure the degree of linear relationship between two continuous variables
Correlation Coefficient
35
To understand whether one data (such as a person's weight) can help predict another data variable (such as the same person's blood pressure) via a linear relationship
Correlation Coefficient
36
To assess the strength of associations between data variables
Correlation Coefficient
37
A correlation coefficient is a number between
-1 and 1
38
Tells you the strength and direction of a relationship between variables. It reflects how similar the measurements of two or more variables are across a dataset
Correlation Coefficient
39
Can provide insights into complex real-world relationship. Helping researchers develop theories and make predictions
Correlation research
40
The maximum value of 1 is obtained if there is a straight line is scatter plot and considered as perfect
Positive correlation
41
The association is _____ if the the values of x-axis and y-axis tend to be high or low together
Positive
42
The association is ______ ie. -1 if the high y-axis values tends to go with low values of x-axis
Negative
43
Every positive increase in one variable, there is a proportional positive increase in the other variable. For instance, belt size increase almost perfectly in correlation with waist size
1 = Strong Positive Linear Relationship
44
Every positive increase in one variable, there is a proportional negative decrease in other variable
-1 = Strong Negative Linear Relationship
45
No linear relationship between the variables
0
46
The absolute value of the correlation coefficient represents the _______ of the relationship
Strength
47
A larger absolute value indicates a stronger relationship, stronger is the _______
association
48
|-.75| =.75, has a stronger relationship than
.65
49
A _______ correlation depends on the discipline
meaning
50
Physics correlation coefficient should be between
-0.95 and 0.95
51
Social sciences a correlation coefficient should be results between _______ are meaningful
-0.6 and 0.6
52
Correlation between the two variable does ____ necessarily suggest the _____ and _____ relationship
Not Cause Effect
53
While performing (Correlation) these tests, it requires _____ to be normally distributed. It is generally used to form hypothesis and to suggest areas of future research
x and y variables
54
There a several types of correlation coefficient, but most popular is
Pearson's
55
A correlation coefficient commonly used in linear regression
Pearson's R