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- https://stats.libretexts.org/Courses/Penn_State_University_Greater_Allegheny/STAT_200%3A_Introductory_Statistics_(OpenStax)_GAYDOS/01%3A_Sampling_and_Data/1.02%3A_Data_Sampling_and_Variation_in_Data_and_SamplingData are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical t...Data are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample.
- https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/01%3A_Introduction_to_Behavioral_Statistics/1.04%3A_Types_of_Data_and_How_to_Measure_Them/1.4.02%3A_Qualitative_versus_Quantitative_VariablesScales of Measurement collapsed into two types of variables? Yes, please!
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/01%3A_Sampling_and_Data/1.02%3A_Data_Sampling_and_Variation_in_Data_and_SamplingThis page provides an overview of data types, focusing on qualitative and quantitative distinctions. It emphasizes effective data representation through various graphs and highlights the importance of...This page provides an overview of data types, focusing on qualitative and quantitative distinctions. It emphasizes effective data representation through various graphs and highlights the importance of sampling methods. Key concepts include sampling errors and biases, while stressing the need for representative samples to ensure accurate conclusions. Additionally, variability in measurements is discussed, showcasing how sampling techniques can impact results.
- https://stats.libretexts.org/Courses/City_University_of_New_York/Introductory_Statistics_with_Probability_(CUNY)/01%3A_Sampling_and_Data/1.03%3A_Populations_and_SamplesData are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical t...Data are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample.
- https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/01%3A_Sampling_and_Data/1.03%3A_Data_Sampling_and_Variation_in_Data_and_SamplingFor example, if the population is 25 people, the sample is ten, and you are sampling with replacement for any particular sample, then the chance of picking the first person is ten out of 25, and the c...For example, if the population is 25 people, the sample is ten, and you are sampling with replacement for any particular sample, then the chance of picking the first person is ten out of 25, and the chance of picking a different second person is nine out of 25 (you replace the first person).
- https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/01%3A_Sampling_and_Data/1.03%3A_Data_Sampling_and_Variation_in_Data_and_SamplingFor example, if the population is 25 people, the sample is ten, and you are sampling with replacement for any particular sample, then the chance of picking the first person is ten out of 25, and the c...For example, if the population is 25 people, the sample is ten, and you are sampling with replacement for any particular sample, then the chance of picking the first person is ten out of 25, and the chance of picking a different second person is nine out of 25 (you replace the first person).
- https://stats.libretexts.org/Courses/Compton_College/Pre-Statistics/08%3A_Sampling_and_Data/8.03%3A_Data_Sampling_and_Variation_in_Data_and_SamplingData are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical t...Data are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample.
- https://stats.libretexts.org/Courses/Fullerton_College/Math_120%3A__Introductory_Statistics_(Ikeda)/01%3A_Sampling_and_Data/1.02%3A_Data_Sampling_and_Variation_in_Data_and_SamplingData are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical t...Data are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample.
- https://stats.libretexts.org/Courses/Marian_University/Applied_Statistics_for_Social_Science/01%3A_Sampling_and_Data/1.3%3A_Data%2C_Sampling%2C_and_Variation_in_Data_and_SamplingData are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical t...Data are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample.
- https://stats.libretexts.org/Courses/El_Camino_College/Introductory_Statistics/01%3A_Sampling_and_Data/1.3%3A_Data_Sampling_and_Variation_in_Data_and_SamplingData are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical t...Data are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample.
- https://stats.libretexts.org/Courses/Los_Angeles_City_College/Introductory_Statistics/01%3A_Sampling_and_Data/1.03%3A_Data_Sampling_and_Variation_in_Data_and_SamplingData are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical t...Data are individual items of information that come from a population or sample. Data may be classified as qualitative, quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample.
