TEST #1 Overview (Online)

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Greenville Technical College *

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120

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Mathematics

Date

Feb 20, 2024

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docx

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1

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TEST #1 OVERVIEW MAT120 1. The definition of statistics the science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer questions. In addition, statistics is about providing a measure of confidence in any conclusions. 2. Definition of qualitative and quantitative variables and giving an example of each Qualitative: Allow for classification of individuals based on some attributes or characteristics. Ex temp Quantitative: provide numerical measures of individuals. The values of quantitative variables can be added or subtracted and provide meaningful results. Ex. Zip code 3. Given a scenario, identifying the correct sampling method (4) Simple: Using Chance to select individuals to include Stratified: Separating the population into nonoverlapping groups called strata then obtaining a simple random sample from each stratum. Individuals within each stratum should be similar in some way. Systematic: is obtained by selecting every Kth individual from the population. The first individual is a random number between 1 and k Cluster: Is obtained by selecting all individuals within a randomly selected collection or group of individuals. 4. True/false question regarding populations, parameters, samples and statistics 5. Given a scenario, identifying designed experiments and observational studies (3) 6. Giving an example of bias in sampling and a remedy 7. Given a frequency distribution, calculating relative frequencies for each class 8. Given a histogram, identifying the shape of the distribution; interpreting information from the histogram; identifying best measure of central tendency to use and explaining why you made that selection 9. Given a data set that can either be copied and pasted into StatCrunch or directly entered manually, calculating and/or identifying measures of central tendency, variation and quartiles 10. Interpreting a quartile in reference to percentiles 11. Calculating and interpreting the Interquartile Range in the context of the sample 12. Identifying the 5-number summary for a data set 13. Explaining what the standard deviation indicates in a set of data 14. Given StatCrunch summary outputs for two different individuals, identifying which one is more consistent and defending your conclusion 15. Defining what the z-score represents for a data value 16. Calculating Z-score; interpreting z-score; telling which z-score indicates either higher relative standing or lower relative standing 17. Interpreting a percentile rank
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