Introduction to statistics Flashcards

(40 cards)

1
Q

Correlation and regression, index numbers, time series analysis.

A

Finance

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2
Q

Hypothesis testing, chi square tests, non parametric statistics.

A

Personel

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3
Q

Hypothesis testing, estimation, analysis of variance, time series analysis.

A

Operating management

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4
Q

The science of collecting describing and interpreting data.

A

Statistics

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5
Q

Collection, presentation, and description of sample data.

A

Descriptive Statistics

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6
Q

Making decisions and drawing conclusions about the population.

A

Inferential Statistics

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7
Q

Estimate the population mean weight using the sample mean weight.

A

Estimation

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8
Q

Test the claim that the population mean weight is 70kg.

A

Hypothesis Testing

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9
Q

Is the process of drawing conclusions or making decisions about a population based on sample result

A

Inferences

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10
Q

Are collected specifically for the analysis desired.

A

Primary data

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11
Q

Have already been compiled and are available for statistical analysis.

A

Secondary data

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12
Q

The collection of data that are relevant to the problem being studied is commonly the most difficult expensive, and time-consuming part of the entire research project.
-Are usually obtained by counting or measuring items.

A

Statistical Data

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13
Q

Is an item of interest that can take on many different numerical values.

A

Variable

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14
Q

Has a fixed numerical value

A

Constant

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15
Q

Data are measurements that each fail into one several categories.

A

Qualitative

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16
Q

Data are observations that are measured on a numerical scale

A

Quantitative

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17
Q

If it takes the form of a word with two options

18
Q

If it takes the form of a word with more than two options

19
Q

A quantitative variable that can assume a countable number of values.

A

Discrete Variable

20
Q

A quantitative variable that can assume an uncountable number of values.

A

Continuous Variable

21
Q

Consists of categories in each of which the number of respective observations is recorded. The categories are in no logical order and have no particular relationship.

22
Q

Contains more information consists of distinct categories in which order is implied.

23
Q

Is a set of numerical measurements in which the distance between numbers is of a known, constant size.

24
Q

A collection of numerical measurements where the distance between numbers is of a known constant size, in addition, there is a nonarbitrary zero point.

25
A collection of set, of individuals or objects event whose properties are to be analyzed.
Population
25
A collection of set, of individuals or objects event whose properties are to be analyzed.
Population
26
A subset of population.
Sample
27
Characteristics about each individual element of a population or sample
Variable
28
The value of the variable associated with one element of a population or sample.
Data(singular)
29
The set of values collected for the variable from each of the elements belonging to the sample.
Data(plural)
30
A planned activity whose results yield a set of data.
Experiment
31
a numerical value summarizing all the data of an entire population
Parameter
32
A numerical value summarizing the sample data.
Statistics
33
Are the data or scores that are arranged in a frequency distribution
Grouped Data
34
Is the arrangement of scores according to category of classes including the frequency.
Frequency distribution
35
Is the number of observations falling in a category
Frequency
36
The values which determines the upper and lower limits if a class.
Class limit
37
A way to plot data where the data is split into stem(the largest digit ) and leaves(the smallest digits)
Stem and leaf plot
38
Distribution gives the total number of values that falls below the upper boundary of each class.
Cumulative frequency
39
is given by the midpoint of the upper limit of one class and the lower limit of the next class.
class boundary