UNIT 1.2 Flashcards

(89 cards)

1
Q

It is the branch of statistic that involves methods of organizing, summarizing and presenting data

A

Descriptive Statistics

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2
Q

Determine the branch of Statistics

Parametric and Non-parametric tests

A

Inferential Statistics

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3
Q

Determine the branch of Statistics

Percentage and Measures of Central Tendency

A

Descriptive Statistics

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4
Q

It is the branch of statistic that involves methods of using information from a sample to draw conclusions about the population

A

Inferential Statistics

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5
Q

Determine the branch of Statistics

Counts, proportions, table, graphs, summary measures

A

Descriptive Statistics

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6
Q

Determine the branch of Statistics

For summarizing and presenting data in a form that will make them easier to analyze and interpret

A

Descriptive Statistics

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7
Q

Determine the branch of Statistics

For making estimates, predictions, generalizations and conclusions about a target population based on a sample

A

Inferential Statistics

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8
Q

Estimation or Hypothesis

Estimating the prevalence of leptospirosis in the Philippines

A

Estimation

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9
Q

Estimation or Hypothesis

Testing the efficacy of a new drug in reducing the cholesterol levels

A

Hypothesis Testing

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10
Q

Descriptive or Inferential

What are the highest and lowest scores obtained by students in the online test?

A

Descriptive

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11
Q

Descriptive or Inferential

Are people who receive an experimental medication less likely to have symptoms of the disease than people who receive the standard medication?

A

Inferential

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12
Q

Descriptive or Inferential

Are women who are sedentary during the 3rd trimester of pregnancy more likely to have a C-section than women who exercise regularly during the 3rd trimester?

A

Inferential

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13
Q

Descriptive or Inferential

What is the average length of stay in a hospital after being admitted for an asthma attack?

A

Descriptive

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14
Q

Two types of variables

A

Quantitative, Qualitative

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15
Q

Type of Qualitative Variables

A

Dichotomous
Trichotomous
Multinomous

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16
Q

Type of Quantitative Variables

A

Discrete
Continuous

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17
Q

Differentiate Qualitative and Quantitative

A

Qualitative - used as labels
Quantiative - for quantity or amount

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18
Q

Numerical representation of the categories are for labeling/coding and not for comparison (greater or less

A

Qualitative

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19
Q

Variables whose categories are simply used as labels to distinguish one group from another

A

Qualitative

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20
Q

Values indicate a quantity or amount and can be expressed numerically

A

Quantitative

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21
Q

Values can be arranged according to magnitude

A

Quantitative

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22
Q

Examples of Qualitative Variables

A

Religion, place of residence, disease status

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23
Q

Examples of Quantitative Variables

A

Age, Height, Weight, Blood Pressure

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24
Q

Variables that can assume only integral values or whole numbers

A

Discrete

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25
Variables that can attain any value including fractions or decimals
Continuous
26
Discrete or Continuous Height
Continuous
27
Discrete or Continuous Number of children in the family
Discrete
28
Discrete or Continuous Number of beds in the hospital
Discrete
29
Discrete or Continuous Weight
Continuous
30
T/F Choice of numeric or graphic descriptive statistics is independent on type of distribution of data.
False
31
Type of means and standard deviations may be used
Continuous
32
Type of percentages of people for each value may be considered
Discrete
33
T/F Descriptive material can be numeric or graphic
True
34
Nature of Statistical Data
Expressed numerically Treated as a mass or group of observations Subject to variation
35
T/F Data obtained from the study can be summarized using descriptive statistics
True
36
The tendency of a measurable characteristic to change
Phenomenon of Variation
37
T/F Variation can be within individual or setting at the same period of time
False
38
T/F Variation is from one individual or setting to another
True
39
4 levels of measurement
Quantitative : Ratio, Interval Qualitative : Ordinal, Nominal
40
Level of measurement where categories are used as labels only
Nominal
41
Number or names which represent a set of mutually exclusive and exhaustive classes
Nominal
42
Level of measurement where categories can be ordered or ranked
Ordinal
43
Nominal or Ordinal Age groups
Ordinal
44
Nominal or Ordinal Sex
Nominal
45
Nominal or Ordinal Psych diagnosis
Nominal
46
Nominal or Ordinal Likert scale
Ordinal
47
T/F The distance between two categories in ordinal measurements can be clearly quantified.
False
48
Level of measurement where distances between all adjacent classes are equal
Interval
49
Level of measurement where scales are infinite
Interval
50
Level of measurement where a meaningful zero point exists
Ratio
51
Ratio or Interval Temperature
Interval
52
Ratio or Interval Blood Pressure
Ratio
53
Ratio or Interval Number of DMF Teeth
Ratio
54
Ratio or Interval IQ
Interval
55
Two types of Variable in a Cause and Effect Relationship
Dependent and Independent
56
Questions asked when finding the dependent variable
What is observed? What is measured?
57
Questions asked when finding the independent variable
What is tested? What is manipulated?
58
Difference of Dependent and Independent Variables
Dependent - something that might be affected by change of the independent Independent - something that is changed by the scientist
59
Other names for independent variables
Explanatory variables Predictor Variables Right-hand-side Variables
60
Other names for dependent variables
Response variables Outcome variables Left-hand-side variables
61
What is controlled variable
Variable that is not changed, to allow fair test
62
Examples of controlled variable
Duration of experiment, experimental technique, species, sample volume
63
Nap Therapy : An approach to improve behavioral skills of children with Mild Autism Identify the Independent and Dependent variable
Independent : Nap Therapy Dependent : Behavioral Skills
64
Footbath : Improved Quality of Sleep Among Filipino Elderly Identify the Independent and Dependent variable
Independent : Footbath Dependent : Quality of Sleep
65
College students of different ages were given an online quiz. They were timed to see how long it took them to finish the quiz. Identify the variables
Independent - quiz Dependent - time Controlled - college students
66
The temperature of water was measured at different depths of pond Identify the variables
Independent - Dependent - Controlled -
67
Difference of Horizontal line and Vertical line
Horizontal - basis of classification Vertical - enumerative data
68
Simple to read and appeal to more people especially those who are not numerically inclined
Graphical Method
69
used to portray numerical measurements across categories of a qualitative variable or a discrete quantitative variable
Bar Graph
69
used to portray numerical measurements across categories of a qualitative variable or a discrete quantitative variable
Bar Graph
70
T/F Bars should be equal width and gaps should separate them to show discontinuities
True
71
Bar graph used for qualitative variable
Horizontal Bar Graph
72
Bar graph used for quantitative discrete variable
Vertical Bar Graph
73
Shows the percentage of the total number of observations falling into each categories
Pie Chart
74
Each bar is divided into smaller rectangles representing the parts
Component Bar Diagram
75
T/F Area of each smaller rectangle is not proportional to the relative contribution of the component to the whole
False
76
Alternative to the pie chart
Component Bar Diagram
77
Portrays trends over time which are trends of disease rates, mortality rates, % immunized, and annual family income
Line Graph
78
Presents frequency distribution of continuous quantitative variable
Histogram, Frequency Polygon
79
T/F In a histogram, class intervals are joined on the horizontal axis against its corresponding frequencies on the vertical axis.
True
80
Difference of frequency polygon and line graph
Frequency polygon - starts with 0 Line graph - starts on its true value
81
T/F In a frequency polygon, plots of the first and last class intervals are joined in the vertical axis
False, horizontal axis
82
Depicts not only the frequency but also the range, mode, median, and shape of distribution
Stem-and-leaf Plot
83
Useful for showing description of a large quantitative data including center, spread, shape, tail length and outliers
Box Plot
84
This can be presented in either horizontal or vertical
Box Plot
85
This can be presented in either horizontal or vertical
Box Plot
85
This can be presented in either horizontal or vertical
Box Plot
86
Presents relationship between two quantitative variables
Scatterplot
87
T/F In a scatterplot, widely scattered points indicate a relationship between x and y
False