Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

sp > sp > Flashcards

sp Flashcards

1
Q

is the science of the development of
applications of the most effective methods for
planning experiments, obtaining data, and then
analyzing, interpreting, and drawing conclusions
based on the data.

A

Statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

an attribute that describes a person,
place, thing, or idea. It is a characteristic that is
observable or measurable in every unit of
universe.

A

Variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

the process of gathering and
measuring information on variables of interest,
in an established systematic fashion that
enables one to answer stated research
questions, test hypotheses, and evaluate
outcomes

A

Data collection

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

is branch of mathematics that deals
with uncertainty. It is a measure or estimation
of how likely it is that an event will occur

A

Probability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

refers to the “likelihood” that
something will happen.

A

Chance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

the set of all possible outcome.

A

Sample Space

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

a subset of a sample space. It is also a
specific or collection of outcomes.

A

Events

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

the product of whole numbers from the given number descending to one.

A

Factorial or factorial function

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

the product of two or more possible outcomes to
compute the total number of outcomes.

A

Fundamental Counting Principle (FCP)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

type of permutation
where the object of outcome does not repeat.

A

Linear Permutation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

type of permutation where the object of outcome
repeats.

A

Permutation with Repetition

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

technique that determines the
number of possible arrangements in a collection
of items where the order of the selection does
not matter.

A

Combination

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

is any specific collection of objects of interest.

A

population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

is any subset or subcollection of the population, including the case that the sample
consists of the whole population, in which case it is termed a census.

A

sample

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

is a number or attribute computed for each member of a population or of a sample.

A

measurement

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

The measurements of sample elements are collectively called

A

the sample data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

is a number that summarizes some aspect of the population.

A

parameter

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

is a number computed from the sample data.

A

statistic

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

is a collection of methods for collecting, displaying, analyzing, and drawing
conclusions from data.

A

Statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

is the branch of statistics that involves organizing, displaying, and describing data.

A

Descriptive statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

is the branch of statistics that involves drawing conclusions about a population based on information contained in a sample taken from that population.

A

Inferential statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

are measurements for which there is no natural numerical scale, but which consist of attributes, labels, or other nonnumerical characteristics.

A

Qualitative data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

are numerical measurements that arise from a natural numerical scale.

A

Quantitative data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

a variable which can assume finite, or at most countably infinite number of values;
usually measured by counting or enumeration; data that can be counted

A

DISCRETE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Q

a variable which can assume infinitely many values corresponding to a line interval; values are obtained by measuring.

A

CONTINUOUS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
26
Q

measurement arises when we have variables that are categorical and non-numeric or where the numbers have no sense of ordering.

A

NOMINAL SCALE

27
Q

measurement arises when we have variables that are categorical and non-numeric or where the numbers have no sense of ordering.

A

NOMINAL SCALE

28
Q

also deals with categorical variables like the nominal level, but in this level ordering is important, that is the values of the variable could be ranked.

A

ORDINAL SCALE

29
Q

tells us that one unit differs by a certain amount of degree from another unit. There is no absolute zero in this scale

A

INTERVAL SCALE

30
Q

tells us that one unit has so many times as much of the property as does another
unit. The ratio level possesses a meaningful (unique and non-arbitrary) absolute, fixed zero point and
allows all arithmetic operations. The existence of the zero point is the only difference between ratio and
interval level of measurement.

A

RATIO SCALE

31
Q

It is a function that associates a real number to each element in the sample space.

A

Random Variable:

32
Q

It is a result of chance in an event that you can measure or count.

A

Random Variable:

33
Q

It is a numerical quantity that is assigned to the outcome of an experiment.

A

Random Variable:

34
Q

It is a quantitative variable which values depends on change.

A

Random Variable:

35
Q

has a countable number of positive values.

A

Discrete random Variable

36
Q

can assume an infinite number of values in one or more intervals.

A

Continuous random variable

37
Q

is the mathematical function that
gives the probabilities of occurence of different possible outcomes for an experiment.

A

Probability Distribution-

38
Q

is a capacity that connects a real number with every component in the sample space.

A

Random Variable

39
Q

variables that can take on a finite number of distinct values.

A

Discrete Random Variable

40
Q

considered as a measure
of the `central location’ of a random variable. It
is the weighted average of the values that
random variable X can take, with weights
provided by the probability distribution.

A

Mean

41
Q

is the sum of the products of each
possible value of a random variable and that
value’s probability. Symbolically, E(X).

A

Mean Value

42
Q

measures of spread.

A

Variance

43
Q

is a closely related measure
of variability.

A

Standard Deviation

44
Q

a type of data distribution that is observed in a lot of instances in real life. It is characterized by a bell-shaped curve with the mean, mode and median as its center and peak.

A

Normal Distribution

45
Q

a normal distribution with a mean of 0 and a standard deviation of 1.

A

Standard Normal Distribution

46
Q

a measure of how spreadout numbers are.

A

Standard Deviation

47
Q

the relationship between observations and their probability.

A

Probability density

48
Q

also known as the standard normal
table, provides the area under the curve

A

Z – Table

49
Q

selecting samples from a population using chance methods or random numbers from the table of random numbers.

A

Random Sampling

50
Q

a measure or characteristics obtained by using all the data values in the population.

A

Parameter

51
Q

a measure or characteristics obtained by using only the data values in a sample.

A

Statistics

52
Q

the probability distribution for the values of the sample statistic obtained when random samples are repeatedly drawn from a population.

A

Sampling Distributions

53
Q

Refers to the whole group under study or investigations.

A

POPULATION

54
Q

It consists of one or more data drawn from the
populations

A

SAMPLE:

55
Q

is a descriptive population measure. It is a measure of the characteristics of the entire population (a mass of all the units
under consideration that share common characteristics) based
on all the elements within that population.

A

PARAMETER

56
Q

is the number that describes the sample. It can be calculated and observed directly.

A

STATISTIC

57
Q

A method of choosing samples in
which all the members of the
population are give EQUAL
CHANCE TO BE SELECTED AS
RESPONDENTS.

A

SIMPLE RANDOM SAMPLING

58
Q

The division might depend on different factors, like age, gender, grade or barangay.

A

STRATIFIED RANDOM SAMPLING

59
Q

starts off by dividing a population
into groups with similar attributes. Then a random sample is taken from each group.

A

STRATIFIED RANDOM SAMPLING

60
Q

starts by dividing a population into
groups, or clusters. What makes this different that
stratified sampling is that each cluster must be
representative of the population. Then, you randomly selecting entire clusters to sample.

A

CLUSTER RANDOM SAMPLING

61
Q

A method of selecting every nth element of the
population.

A

SYSTEMATIC RANDOM SAMPLING

62
Q

is a sampling technique in which each
member of the population has an equal chance of being selected. An instance of this is when members of the population have their names represented by small pieces of paper that are then randomly mixed and picked out. In the sample, the members selected will be included.

A

LOTTERY SAMPLING

63
Q

uses a combination of different sampling techniques. For example, when selecting respondents for a national election survey, we can use the lottery method first for regions and cities. We can then use stratified sampling to determine the number of respondents from selected areas and
clusters.

A

MULTI-STAGE SAMPLING

sp (1 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions