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A range of topics related to descriptive and inferential statistics, including measures of central tendency (mean, median), measures of dispersion (standard deviation), data types (qualitative, quantitative, nominal, ordinal, interval, ratio), data distributions (discrete, continuous), sampling (sample, population), statistical inference (confidence intervals, hypothesis testing), and data visualization (bar charts, histograms). Definitions, formulas, and examples for these statistical concepts, making it a valuable resource for students studying introductory statistics or preparing for an exam in a related field. The content covers both descriptive and inferential statistics, providing a comprehensive overview of the key statistical tools and techniques used in data analysis and decision-making.
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ISDS 2000 final exam
how to get standard deviation - correct answer ✔✔ how to calculate median? - correct answer ✔✔N+1/2 ( location of 50 %) Qualitative - correct answer ✔✔categorical data Quantitative - correct answer ✔✔numerical data nominal - correct answer ✔✔qualitative not ordered Ordinal - correct answer ✔✔qualitative are ordered interval - correct answer ✔✔quantitative data that is a year, temp, time Ratio - correct answer ✔✔quantitative data that has "0" means discreete - correct answer ✔✔certain # of answers continuous - correct answer ✔✔any answer is possible descriptive statistics - correct answer ✔✔collective data calculate mean inferential statistics - correct answer ✔✔collective data calculate mean
make an inference on population based on sample When can I make an inference? - correct answer ✔✔If my data is randomly selected where everyone could have been selected in "possibility sample" nonprobility sample - correct answer ✔✔not everyone could be selected time series data - correct answer ✔✔data collected over several time periods cross sectional data - correct answer ✔✔all data at one point of time sample - correct answer ✔✔subset of everyone Population - correct answer ✔✔everyone bar chart - correct answer ✔✔categorical chart (with space) Histogram - correct answer ✔✔numerical (NO SPACE) outliers - correct answer ✔✔rule if z score is greater than 2 or smaller than -2 then you an outlier z score formula - correct answer ✔✔(x-mean)/standard deviation Probability q's - correct answer ✔✔X>Z>PROB>ADJ ADJ>PROB >Z>X normal distribution - correct answer ✔✔a bell-shaped curve, describing the spread of a characteristic throughout a population
Central Limit Theorem (CLT) - correct answer ✔✔If your sample greater than 30 or The population is normal Than the Sample distribution is normal CLT for proportions - correct answer ✔✔If your sample size is large then is normal To be large you have to have both statements be TRUE
- NP> n(1-p)> cofidence interval - correct answer ✔✔(2 Tailed) Xbar +or- Tscore (s/Sqare root of n)