Elementary Statistics 2004
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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| show | Observations (such as measurements, genders, survey responses) that have been collected
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| show | A collection of methods for planning experiments, obtaining data and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data
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| show | The complete collection of all elements (scores, people, measurements, and so on) to be studied
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| Population | show 🗑
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| show | The collection of data from every member of the population
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| show | A subcollection of members selected from a population
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| Sample data | show 🗑
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| If sample data are not collected in a appropriate way, | show 🗑
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| TYPES OF DATA??? | show 🗑
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| Parameter | show 🗑
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| show | all of those votes to be the population considered, When Lincoln was first elected, he received 39.82% of the 1,865,908 votes cast which is 29.825.
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| Statistic | show 🗑
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| show | of 877 surveyed executives, it was found that 45% of them would not hire someone with a typographical error on their job application
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| show | Data consists of numbers representing counts or measurement
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| Quantitative data | show 🗑
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| show | Temperature, Years
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| Interval level of measurement | show 🗑
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| show | shoe sizes [US vs Europe] and temperature
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| show | can be either discreet or continuous
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| Ratio level of measurement | show 🗑
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| show | differences and ratios are meaningful
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| Ratio level of measurement | show 🗑
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| show | Height of students
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| Ratio data | show 🗑
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| show | HIGHEST LEVEL OF DATA
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| show | can be either discreet or continuous.
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| show | can be further distinguished between discrete and continuous.
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| show | Data that results when the number of possible values is either a finite number or a “countable” numbers.
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| Discrete Data | show 🗑
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| show | number of eggs that hens lay
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| show | thickness of paper; measurement of weight
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| show | Results from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps, interruptions, or jumps.
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| Continuous (numerical) Data | show 🗑
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| Qualitative (or categorical or attribute) data | show 🗑
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| show | The genders (male/female) of professional athletes
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| Nominal Level of Measurement | show 🗑
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| Nominal Level of Measurement | show 🗑
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| Nominal Level of Measurement | show 🗑
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| Nominal Level of Measurement | show 🗑
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| Nominal Level of Measurement | show 🗑
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| show | (Categories & groups, but with some natural order to the groups.)
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| Ordinal Level of Measurement | show 🗑
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| show | Ranking cities; those ranked 1st, 2nd, 3rd, etcBut, the differences between ranks are meaningless
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| show | Discrete
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| show | Interval
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| show | usually Discrete
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| Man on the street samples are | show 🗑
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| Misuses of Statistics | show 🗑
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| Misuses of Statistics | show 🗑
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| Misuses of Statistics | show 🗑
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| show | typically plays a critical role in determining which data to collect.
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| Observational Study | show 🗑
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| Cross Sectional Study | show 🗑
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| show | Data are collected from the past by going back in time.
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| show | Data are collected in the future from groups (called cohorts) sharing common factors.
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| Experimental | show 🗑
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| Experimental Key Elements | show 🗑
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| show | Effects of variables through: blinding, blocks, completely randomized, experimental design, rigorously controlled experimental design
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| Confounding | show 🗑
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| show | Subject doesn't know if he or she is receiving a treatment or placebo
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| show | Neither the subject nor the experimenter knows whether treatment or placebo is being administered
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| Blocks | show 🗑
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| Completely Randomized Experimental Design | show 🗑
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| Rigorously Controlled Design | show 🗑
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| show | Selection so that each has an equal chance of being selected
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| show | of size n
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| show | Select some starting point and then select every Kth element in the population
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| show | 7th person of a group of 10; i.e., 7, 17, 27, 37, etc., OR every 7th person i.e., 7, 14, 21, 28, etc
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| show | Use results that are easy to get, choosing the first 10 people who get off work
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| show | Subdivide the population into at least two different subgroups that share the same characteristics, then draw a sample from each subgroup (or stratum
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| Cluster Sampling | show 🗑
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| Sampling Error | show 🗑
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| Nonsampling Error | show 🗑
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To hide a column, click on the column name.
To hide the entire table, click on the "Hide All" button.
You may also shuffle the rows of the table by clicking on the "Shuffle" button.
Or sort by any of the columns using the down arrow next to any column heading.
If you know all the data on any row, you can temporarily remove it by tapping the trash can to the right of the row.
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Created by:
mcb