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Please take out your homework articles. Would anyone want to give a summary and share their article?
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SECTION 1-3 Types of Data
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Parameter vs. Statistic Quantitative vs. Categorical Discrete vs. Continuous Nominal, Ordinal, Interval, and Ratio Measurement
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Types of Data Parameter vs. Statistic Quantitative vs. Categorical Discrete vs. Continuous Nominal, Ordinal, Interval, and Ratio Measurement
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Parameter vs. Statistic Parameter: Describes population Statistic: Describes sample Determine which is statement is a statistic and which is a parameter It is known that 10% of the players on the Chicago Cubs have earned a college degree. 4% of 100 MLB players surveyed say that they have earned a college degree.
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Types of Data Parameter vs. Statistic Quantitative vs. Categorical Discrete vs. Continuous Nominal, Ordinal, Interval, and Ratio Measurement
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Types of Data Parameter vs. Statistic Quantitative vs. Categorical Discrete vs. Continuous Nominal, Ordinal, Interval, and Ratio Measurement
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Quantitative vs. Categorical Quantitative: Numbers that represent count or measure Categorical: Names or labels with no measure or count Determine if the statement represents categorical or quantitative data Derrick Rose’s jersey number which is #1 Derrick Rose’s 21.0 points per game Derrick Rose’s team the Chicago Bulls
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Quantitative vs. Categorical A note on quantitative data Units are crucial! Thousands of dollars, kilograms, hundredths of a second Mars Rover accident! Used American instead of metric units
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Types of Data Parameter vs. Statistic Quantitative vs. Categorical Discrete vs. Continuous Nominal, Ordinal, Interval, and Ratio Measurement
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Types of Data Parameter vs. Statistic Quantitative vs. Categorical Discrete vs. Continuous Nominal, Ordinal, Interval, and Ratio Measurement
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Discrete vs. Continuous Discrete: The data is countable (0, 1, 2, 3, 4,…) always COUNTED Continuous: The data can be any value on an infinite scale of continuous numbers (1, 20, 1.675834, 3.14, etc.) usually MEASURED Determine whether the data is continuous or discrete The amount of milk in a glass (measured in ounces) The number of bottles of milk in a shipment The height of an Olympic athlete
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Types of Data Parameter vs. Statistic Quantitative vs. Categorical Discrete vs. Continuous Levels of Measurement
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Types of Data Parameter vs. Statistic Quantitative vs. Categorical Discrete vs. Continuous Levels of Measurement
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TypeMeaning RatioThere is a natural zero starting point and ratios are meaningful IntervalDifferences are meaningful, but there is no natural zero starting point and ratios are meanings OrdinalCategories are ordered, but differences can’t be found or are meaningless NominalCategories only. Data cannot be arranged in an ordering scheme
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SECTION 1.3 STOPLIGHT
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Stoplight – Round 1 A study of all 2223 passengers aboard the Titanic found that 706 survived when it sank. StatisticUnsureParameter
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Stoplight – Round 2 In New York City, there are 3250 walk buttons that pedestrians can press at traffic intersections. It was found that 77% of those buttons do not work. StatisticUnsureParameter
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Stoplight – Round 3 You randomly spot a group of ten girls in the hallway and 6 of them have brown hair. StatisticUnsureParameter
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Stoplight – Round 4 The amount of sugar in a coke can is 39.5 grams. DiscreteUnsureContinuous
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Stoplight – Round 5 The volume of cola in a can of regular Coke is 12 oz. DiscreteUnsureContinuous
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Stoplight – Round 6 In a test of a method of gender selection developed by the Genetic and IVF Institute, 726 couples used the XSORT method and 668 of them had baby girls. DiscreteUnsureContinuous
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Stoplight – Round 7 The weights of OHS students. QuantitativeUnsureCategorical
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Stoplight – Round 8 The names of OHS students. QuantitativeUnsureCategorical
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Stoplight – Round 9 Critic ratings of movies on a scale from 0 star to 4 stars. NominalOrdinalInterval Ratio
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Stoplight – Round 10 Actual temperatures (in degrees Fahrenheit). NominalOrdinalInterval Ratio
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Stoplight – Round 11 Companies (Disney, MGM, Warner Brothers, Universal, 20 th Century Fox) that produce movies. NominalOrdinalInterval Ratio
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Homework p.16-17: #5-6, 13-14, 27-28
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