Introduction To Statistics
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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| There Are 2 Types of Data | 1. Quantitative Data..
2. Qualitative Data
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| Quantitative Data | These are numbers
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| Qualitative Data | These are categories. Not numbers
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| There Are 2 Types of Quantitative Data | 1. Discrete Data..
2. Continuous Data
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| Discrete Data | Whole numbers. Ex: The # people on the bus
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| Continuous Data | These are decimals. If data could be a decimal, it is continuous. Ex: Weight of a whale in pounds
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| Population | Every individual of interest. Doesn't have to be people
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| Parameter | A number that describes some aspect of the population. Computed from population
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| Sample | Subgroup of population
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| Statistic | A number that describes some aspect of the sample
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| Levels of Measurement(4 levels) | 1. Nominal..
2. Ordinal..
3. Interval..
4. Ratio
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| Nominal | Categories, cannot be ordered, most basic level. Ex: brand of shoe
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| Ordinal | Categories, can be ordered, cannot do math operation with. Ex: quality rating of a Choco bar(bad, okay, good)
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| Interval | Numbers, no true zero. Ex: temperature, time of arrival
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| Ratio | Number, there is a true zero. Ex: # people who believe in aliens, cost of a Big mac, time it takes to eat a hotdog
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| Sampling Techniques | 1. Random Sample..
2. Simple Random Sample..
3. Cluster Sample..
4. Stratified Sample..
5. Systematic Sampling..
6. Convenience Sample
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| Random Sample | Every individual from a population has equal chance of being selected
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| Simple Random Sample | Every possible group of individuals has an equal change of being selected
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| Cluster Sample | Divide population into groups, randomly select some of the GROUPS. Ex: There are 50 states and you randomly select 25 states(our sample is everyone in those 25 states)
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| Stratified Sample | Divide population into groups, randomly select INDIVIDUALS from each group. Ex: Randomly select 10 people from each of the 50 states(our sample is 500 people)
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| Systematic Sampling | Order the data, pick a starting point, select every 2nd, 3rd, 4th, etc. person. Ex: number names in phonebook then start with 3rd person then pick every 4th person(Sample is person 3, 7, 11, 15)
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| Convenience Sampling | Uses data that is readily available. Don't want to get data this way usually. Ex: Theo surveys his best friends
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Review the information in the table. When you are ready to quiz yourself you can hide individual columns or the entire table. Then you can click on the empty cells to reveal the answer. Try to recall what will be displayed before clicking the empty cell.
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.
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:
TimStatistics
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