Statistics 211 Exam Questions and Answers 100% Correct

Statistics 211 Exam Questions and Answers 100% Correct Individuals - Answers are the people or objects included in the study. Variable - Answers is a characteristic of the individual to be measured or observed Quantitative Variable - Answers has a value or numerical measurement for which operations such as addition or averaging make sense. Qualitative Variable - Answers describes an individual by placing the individual into a category or group, such as male or female. Population Data - Answers the data from every individual of interest Sample Data - Answers the data from only some of the individuals of interst Population Parameter - Answers a numerical measure that describes an aspect of a population Sample Statistic - Answers a numerical measure that describes an aspect of a sample Statistics - Answers is the study of how to collect, organize, analyze, and interrupt numerical information from data. 1 Nominal Level - Answers applies to data that consist of names, labels, or categories. There is no implied criteria. 2 Ordinal Level - Answers applies data that can be arranged in order. However, differences between data values either cannot be determined or are meaning less 4 Ratio Level - Answers applies to data that can be arranged in order. Data at ratio can have a true zero. 3 Interval Level - Answers applies to data that can be arranged in order. In addition, differences between data values are meaningful. Descriptive Statistics - Answers involves methods or organizing, picturing, and summarizing information from samples or populations. Inferential Statistics - Answers involves methods of using information from a sample to draw conclusions regarding the population. Length of time to complete an exam - Answers ratio Time of first class - Answers interval Major field of study - Answers nominal course evaluation scale: Poor, acceptable, good - Answers ordinal Score on last exam (based on 100 possible points) - Answers ratio Age of student - Answers ratio Simple Random Sample - Answers of n measurements from a population is a subset of the population selected in such a manner that every sample size n from the population has an equal chance of being selected. Use simple random sample from the entire population. Stratified Sample - Answers Divide the entire population into distinct subgroups called strata. Groups are based on characteristics like age, education level, and income. Systematic sample - Answers Number all members of the population sequentially. Then, from a starting point selected at random, include every kth member of the population in sample. Convenience Sample - Answers create a sample by using data from a population that is readily available Cluster Sample - Answers divide the entire population into pre-existing segments or clusters. The clusters are often geographic. Include every member of each selected cluster cluster in the sample. Sampling error - Answers a difference between measurements from a sample and corresponding measurements from the respective population. non-sampling error - Answers is the result of poor sample design. Group the businesses according to type: medical, shipping, retail, manufacturing, financial, construction, restaurant, hotel, tourism, and other. - Answers Stratified Sample example Use postal zip code to divide state into regions. Pick a random sample of 10 zip code areas and then include all the businesses in each selected zip code area. - Answers Cluster Sample Send a team of 5 research assistants to bishop street in downtown Hawaii. Let each assistant take a block and interview an employee form each business found. They must get 20. - Answers Convenience Sample Use the Island business directory. Number of all businesses. Select a starting place at random, and then use every 50th business listed until you have 100 business. - Answers systematic sample Assign each business in the island business directory a number, and then use a random-number table to select the business es to be included in the sample. - Answers Simple random simple Frequency table - Answers partitions data into classes or intervals and shows how many data values are in each class. The classes or intervals are constructed so that each data value falls into exactly one class