Statistics

Statistics
23問 • 2年前
  • Rham Sarmiento
  • 通報

    問題一覧

  • 1

    Is the science of conducting studies to collect, organize, summarize, analyze, and draw conclusion from data.

    Statistics

  • 2

    Uses of statistics in different Fields:

    Agriculture, Biology, Business, Demography - Human Population, Economics, Education, Engineering, Entertainment, Health, Medicine, Research

  • 3

    - is the entirety of the group including all the members that forms a set of data. is the entire group that you want to draw conclusions about. Or broader group of people to whom you intend to generalizè the results of your study. is the entire set of items from which you draw data for a statistical study. It can be a group of individuals, a set of items, etc. It makes up the data pool for a study. refers to data on your study of interest. It can be a group of individuals, objects, events, organizations, etc. You use populations to draw conclusions.

    Population

  • 4

    - contains a few members of the population. It taken to represent the characteristics or traits of the population. is the specific group that you will collect data from.. The size is always less than the total size of the population. is defined as a smaller and more manageable representation of a larger group. you can sometimes collect data from a subset of your population and then consider it as the general norm.

    Sample

  • 5

    USED TO SAY SOMETHING OR DESCRIBE A SET OF INFORMATION COLLECTED. IT CAN ALSO BE REPRESENTED WITH GRAPHS.

    Descriptive Statistics

  • 6

    USED TO SAY SOMETHING ABOUT A LARGER GROUP (POPULATION) USING INFORMATION COLLECTED FROM A SMALL PART OF THAT POPULATION (SAMPLE).

    Inferential Statistics

  • 7

    Common tools use for inferential Statistics

    HYPOTHESIS TESTING, REGRESSION ANALYSIS

  • 8

    2 methods/technique of Sampling

    Probability, Non-probability

  • 9

    Describe a certain type of information without using numbers

    Qualitative Variables

  • 10

    Measure or identify an information using numerical scales

    Quantitative variable

  • 11

    is data that can be counted or measured in numerical values. Height in feet, age in years, and weight in pounds are the examples.

    Quantitative data

  • 12

    The two main types of quantitative data are _____ and _____ .

    discrete data, continuous data

  • 13

    is descriptive data that is not expressed numerically.  Both research are often conducted through surveys and questionnaires. 

    Qualitative data

  • 14

    Examples of Quantitative Data

    Revenue in dollars, Weight in kilograms or pounds, Age in months or years, Distance in miles or kilometers, Time in days or weeks, Website conversion rates, experiment results, Website page load speed

  • 15

    2 Types of Data

    Qualitative, Quantitative

  • 16

    2 Kinds of Qualitative Data

    Nominal, Ordinal

  • 17

    Qualitative data that named categories

    Nominal

  • 18

    Qualitative data that categories with an implied orders

    ordinal

  • 19

    kind of quantitative data w/c only particular numbers

    discrete

  • 20

    kind of quantitative data for any numeric values

    continuous

  • 21

    2 Kinds of Quantitative Data

    discrete, continuous

  • 22

    Types of Quantitative Data

    Counter, Measurement of physical objects, Sensory calculation, Projection of data, Quantification of data qualitative entities

  • 23

    2 Types of Statistics

    Inferential statistics, Descriptive Statistics

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    問題一覧

  • 1

    Is the science of conducting studies to collect, organize, summarize, analyze, and draw conclusion from data.

    Statistics

  • 2

    Uses of statistics in different Fields:

    Agriculture, Biology, Business, Demography - Human Population, Economics, Education, Engineering, Entertainment, Health, Medicine, Research

  • 3

    - is the entirety of the group including all the members that forms a set of data. is the entire group that you want to draw conclusions about. Or broader group of people to whom you intend to generalizè the results of your study. is the entire set of items from which you draw data for a statistical study. It can be a group of individuals, a set of items, etc. It makes up the data pool for a study. refers to data on your study of interest. It can be a group of individuals, objects, events, organizations, etc. You use populations to draw conclusions.

    Population

  • 4

    - contains a few members of the population. It taken to represent the characteristics or traits of the population. is the specific group that you will collect data from.. The size is always less than the total size of the population. is defined as a smaller and more manageable representation of a larger group. you can sometimes collect data from a subset of your population and then consider it as the general norm.

    Sample

  • 5

    USED TO SAY SOMETHING OR DESCRIBE A SET OF INFORMATION COLLECTED. IT CAN ALSO BE REPRESENTED WITH GRAPHS.

    Descriptive Statistics

  • 6

    USED TO SAY SOMETHING ABOUT A LARGER GROUP (POPULATION) USING INFORMATION COLLECTED FROM A SMALL PART OF THAT POPULATION (SAMPLE).

    Inferential Statistics

  • 7

    Common tools use for inferential Statistics

    HYPOTHESIS TESTING, REGRESSION ANALYSIS

  • 8

    2 methods/technique of Sampling

    Probability, Non-probability

  • 9

    Describe a certain type of information without using numbers

    Qualitative Variables

  • 10

    Measure or identify an information using numerical scales

    Quantitative variable

  • 11

    is data that can be counted or measured in numerical values. Height in feet, age in years, and weight in pounds are the examples.

    Quantitative data

  • 12

    The two main types of quantitative data are _____ and _____ .

    discrete data, continuous data

  • 13

    is descriptive data that is not expressed numerically.  Both research are often conducted through surveys and questionnaires. 

    Qualitative data

  • 14

    Examples of Quantitative Data

    Revenue in dollars, Weight in kilograms or pounds, Age in months or years, Distance in miles or kilometers, Time in days or weeks, Website conversion rates, experiment results, Website page load speed

  • 15

    2 Types of Data

    Qualitative, Quantitative

  • 16

    2 Kinds of Qualitative Data

    Nominal, Ordinal

  • 17

    Qualitative data that named categories

    Nominal

  • 18

    Qualitative data that categories with an implied orders

    ordinal

  • 19

    kind of quantitative data w/c only particular numbers

    discrete

  • 20

    kind of quantitative data for any numeric values

    continuous

  • 21

    2 Kinds of Quantitative Data

    discrete, continuous

  • 22

    Types of Quantitative Data

    Counter, Measurement of physical objects, Sensory calculation, Projection of data, Quantification of data qualitative entities

  • 23

    2 Types of Statistics

    Inferential statistics, Descriptive Statistics