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Math 100 > Introduction to statistics > Flashcards

Introduction to statistics Flashcards

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

A

Dichotomic

18
Q

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

A

Polynomic

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.

A

Nominal

22
Q

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

A

Ordinal

23
Q

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

A

Interval

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.

A

Ratio.

25
Q

A collection of set, of individuals or objects event whose properties are to be analyzed.

A

Population

25
Q

A collection of set, of individuals or objects event whose properties are to be analyzed.

A

Population

26
Q

A subset of population.

A

Sample

27
Q

Characteristics about each individual element of a population or sample

A

Variable

28
Q

The value of the variable associated with one element of a population or sample.

A

Data(singular)

29
Q

The set of values collected for the variable from each of the elements belonging to the sample.

A

Data(plural)

30
Q

A planned activity whose results yield a set of data.

A

Experiment

31
Q

a numerical value summarizing all the data of an entire population

A

Parameter

32
Q

A numerical value summarizing the sample data.

A

Statistics

33
Q

Are the data or scores that are arranged in a frequency distribution

A

Grouped Data

34
Q

Is the arrangement of scores according to category of classes including the frequency.

A

Frequency distribution

35
Q

Is the number of observations falling in a category

A

Frequency

36
Q

The values which determines the upper and lower limits if a class.

A

Class limit

37
Q

A way to plot data where the data is split into stem(the largest digit ) and leaves(the smallest digits)

A

Stem and leaf plot

38
Q

Distribution gives the total number of values that falls below the upper boundary of each class.

A

Cumulative frequency

39
Q

is given by the midpoint of the upper limit of one class and the lower limit of the next class.

A

class boundary

Math 100 (1 decks)

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