A&A SL: Core Topics: Statistics Vocab

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Lessons 11A - 11E Vocab

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33 Terms

1
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frequency histogram

  • AKA: histogram

  • similar to a column graph but the “columns“ are touching

  • values at the edges of each column indicates class interval boundary

  • used to represent continuous data

<ul><li><p>AKA: histogram </p></li><li><p>similar to a column graph but the “columns“ are touching</p></li><li><p>values at the edges of each column indicates class interval boundary</p></li><li><p>used to represent continuous data</p></li></ul>
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modal class

  • the class with the highest frequency

  • seen in both column graphs and histograms

<ul><li><p>the class with the highest frequency</p></li><li><p>seen in both column graphs and histograms </p></li></ul>
3
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class intervals

  • when data has many different values with low frequencies it is useful to group the data

  • then compare the frequencies of each class

  • EX: *image is a way to group the frequencies*

<ul><li><p>when data has many different values with low frequencies it is useful to group the data</p></li><li><p>then compare the frequencies of each class</p></li><li><p>EX: *image is a way to group the frequencies*</p></li></ul>
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group

  • a way to categorize and organize data

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outliers

  • values that are much larger or smaller than the general data body

  • appears separated on a column graph

  • retained for analysis

  • could be a data collection error and if so remove it from the data

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positively skewed

  • positive side is stretched

<ul><li><p>positive side is stretched </p></li></ul>
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negatively skewed

  • negative side is stretched

<ul><li><p>negative side is stretched </p></li></ul>
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systemic

  • systemic about the mode

<ul><li><p>systemic about the mode</p></li></ul>
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mode

  • most frequently occurring value

  • highest column on a column graph

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column graph

  • displays simple data

  • displays discrete data

  • possible data on horizontal axis

  • frequency of data on vertical axis

  • column widths are equal

  • height represents frequency

  • gaps between data indicates discrete

<ul><li><p>displays simple data</p></li><li><p>displays discrete data</p></li><li><p>possible data on horizontal axis</p></li><li><p>frequency of data on vertical axis</p></li><li><p>column widths are equal</p></li><li><p>height represents frequency</p></li><li><p>gaps between data indicates discrete</p></li></ul>
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relative frequency

  • frequency divided by the total number of recorded values

  • indicates proportion / population of results that take value

<ul><li><p>frequency divided by the total number of recorded values</p></li><li><p>indicates proportion / population of results that take value</p></li></ul>
12
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frequency

  • column that summarizes the number of occurrences in each data value

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tally

  • used to count the number of 1s 2s 3s and so on

  • read data left to right

  • vertical stroke tally column

  • represents 5 occurrences

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quantitative continuous variable

  • any numerical value in a certain range

  • result of measuring

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quantitative discrete variable

  • exact numerical

  • result of counting

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numerical data

  • all information collected

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quantitative variable

  • has numerical value

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categorical data

  • all collected information

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categories

  • what data is divided into

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categorical value

  • specific quality or characteristic

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variable

  • a part of data collection that is associated with the population

  • will either be categorical or numerical

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stratified / quota sampling

  • when a population can be divided into subgroups

  • when subgroups can be equally represented

  • EX: a high school divided into grades

  • stratified sample: individuals from each strata are selected

  • quota sample: individuals specifically chosen by the interviewer

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convenience sampling

  • selecting a sample based on who is more accessible or more likely to respond

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systematic sampling

  • selecting members of a population at regular intervals

  • useful when not all population members are available at the same time

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simple random sampling

  • each member of the population has the same chance of being selected for the sample

  • each set of n members has the same chance of being selected as any other set of n members

  • practical to number the members and randomly generate to select the sample

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randomly select

  • helps to prevent bias

  • everyone has an equal chance at being selected

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non-responded error

  • lack of a response

  • could be due to a variety of factors

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coverage error

  • sample does not reflect population

  • proves that the sample needs to be large and unbiased

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measurement error

  • inaccuracies in measurement regarding data collection

  • slight differences from actuality

  • could be due to bad questions

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census

  • accurate way to study a population of interest

  • understand that it is impossible to study the total population

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sample

  • the select group from a population

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error

  • when estimation is incorrect

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sampling error

  • characteristic of sample differs from total population

  • random