Term
| Explain the difference between “parameter” and “statistic” |
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Definition
Parameter is the numerical measurement of a POPULATION, p for parameter and population
Statistic is the numerical measurement of a SAMPLE, s for statistic and sample |
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Term
| Explain the difference between “discrete” and “continuous” data |
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Definition
| Discrete data is based on counting items and therefore must be whole numbers. Continuous is based on measurements in some type of unit and therefore may contain decimals. (M.U.D.) (Measurements Unit Decimals) |
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Term
| 3. Explain the difference between “quantitative” and “qualitative” data |
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Definition
Quantitative data is numbers from measurements or counting
Qualitative data is expressed in categories |
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Term
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Definition
Measurements that have order and meaningful differences between them
Ex: 3 people are asked how much money they have with them, $10, $50 and $100. This is a ratio measurement because $100>$50>$10 and there is $50 between $100 and $50 and $40 between $50 and $10. |
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Term
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Definition
Data is measured in numbers and we can say how much more one data point is than another. However, there is no natural zero, and there will be negative numbers.
Ex: Body temperatures of 97 degrees and 99 degrees. Zero is not a natural starting point because it does not represent total absence of heat. |
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Term
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Definition
Data that is in categories, with each category being better than the next. However, there is no measurable difference between the categories.
Ex: On an airplane, there are three difference types of classes, first class, business class and economy class. How much better each class is cannot be measured and varies between airlines and flights. |
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Term
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Definition
Data that is in categories with no order. All categories are equal.
Ex: colors of M&M’s |
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Term
| Experiment vs. Observational study |
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Definition
| experiment we are observing and measuring characteristics, but not modifying the patients. In experiment we apply some treatment and then observe and measure the patients, we modify the patients by applying treatment. |
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Term
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Definition
When something happens in an experiment that is out of your control and not being able to tell if the results are from what you did or was altered by what was out of your control.
Ex: Study concerning pregnant woman, caffeine and their underweight newborns. The study concluded that caffeine and underweight newborns coincide, however it did not account for smoking. |
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Term
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Definition
| From past that occurred over a period of time |
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Term
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Definition
| Right now/one point in time |
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Term
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Definition
| Are collecting now and will collect into the future |
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Term
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Definition
| The average , sum of all points/number of all points |
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Term
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Definition
| Middle number. If it is an odd data set, take the two middle numbers and find their mean. |
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Term
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Definition
| Most fashionable, occurs the most |
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Term
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Definition
| highest value + lowest value/ 2 |
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Term
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Definition
| Highest value - Lowest value |
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Term
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Definition
| each member of the population has a known but not necessarily the same chance of being chosen. |
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Term
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Definition
| each member of the population has an equal chance of being chosen. |
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Term
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Definition
| a sample of n subjects in such a way that all groups of a certain size have an equally likely chance. Ex: I have a group of 5 friends and I choose 2 to do a survey. Each of my friends must have the same chance of being chosen, Jordan and Callie must have the same chance as Megan and Amber, or Jordan and Amber or Callie and Megan. |
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Term
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Definition
| a sample where you pick every (n)th item |
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Term
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Definition
| population is divided into pieces, some of the pieces are randomly chosen. It’s a package deal; if you choose a piece you must use all of the items in that piece. All from some. |
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Term
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Definition
| population is divided into pieces, however certain items are chosen from all the pieces. Some from all. S for stratified. |
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Term
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Definition
| choosing items how it is convenient for you, no real scientific method. |
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