sample
... Since the finite population has 900 elements, we will need 3-digit random numbers to randomly select applicants numbered from 1 to 900. We will use the last three digits of the 5-digit random numbers in the third column of a random number table. The numbers we draw will be the numbers of the applica ...
... Since the finite population has 900 elements, we will need 3-digit random numbers to randomly select applicants numbered from 1 to 900. We will use the last three digits of the 5-digit random numbers in the third column of a random number table. The numbers we draw will be the numbers of the applica ...
Lecture #18
... Work in groups of two or three. One person holds the meter stick vertically, with one hand near the top of the stick, so that the 0-centimeter mark is at the bottom. The other person then positions his or her thumb and index finger about 5 cm apart (2 inches apart) on opposite sides of the meter sti ...
... Work in groups of two or three. One person holds the meter stick vertically, with one hand near the top of the stick, so that the 0-centimeter mark is at the bottom. The other person then positions his or her thumb and index finger about 5 cm apart (2 inches apart) on opposite sides of the meter sti ...
sample means
... Sampling Distributions and Estimators What we want to do is find out the sampling distribution of a statistic. Recall that a statistic is a descriptive measure about the sample. It is rare that we know all values in an entire population. The most common case is that there is a really large unknown ...
... Sampling Distributions and Estimators What we want to do is find out the sampling distribution of a statistic. Recall that a statistic is a descriptive measure about the sample. It is rare that we know all values in an entire population. The most common case is that there is a really large unknown ...
Basic Statistical Concepts
... If y1, y2, …, yn is a sequence of n independent and identically distributed random variables with E(yi)=μ and V(yi)=σ2 and x=y1+y2+…+yn, then the limiting form of the distribution of ...
... If y1, y2, …, yn is a sequence of n independent and identically distributed random variables with E(yi)=μ and V(yi)=σ2 and x=y1+y2+…+yn, then the limiting form of the distribution of ...
Document
... The population is first divided into groups of elements called strata. Each element in the population belongs to one and only one stratum. Best results are obtained when the elements within each stratum are as much alike as possible (i.e. homogeneous group). A simple random sample is taken from each ...
... The population is first divided into groups of elements called strata. Each element in the population belongs to one and only one stratum. Best results are obtained when the elements within each stratum are as much alike as possible (i.e. homogeneous group). A simple random sample is taken from each ...
補充：假設檢定
... Reject H0 (if sample mean makes us to think the population mean is not 170) Do not reject H0 (if sample mean makes us believe population mean is 170) ...
... Reject H0 (if sample mean makes us to think the population mean is not 170) Do not reject H0 (if sample mean makes us believe population mean is 170) ...
Horvitz-Thompson estimation
... and Grundy (1953). Thus, it is often called Sen-Yates-Grundy(SYG) variance formula. The variance will be minimized when πi ∝ yi . That is, if the first order inclusion probability is proportional to yi , the resulting HT estimator under this sampling design will have zero variance. However, in pract ...
... and Grundy (1953). Thus, it is often called Sen-Yates-Grundy(SYG) variance formula. The variance will be minimized when πi ∝ yi . That is, if the first order inclusion probability is proportional to yi , the resulting HT estimator under this sampling design will have zero variance. However, in pract ...
Sampling (statistics)
In statistics, quality assurance, and survey methodology, sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Each observation measures one or more properties (such as weight, location, color) of observable bodies distinguished as independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly stratified sampling. Results from probability theory and statistical theory are employed to guide practice. In business and medical research, sampling is widely used for gathering information about a population .The sampling process comprises several stages: Defining the population of concern Specifying a sampling frame, a set of items or events possible to measure Specifying a sampling method for selecting items or events from the frame Determining the sample size Implementing the sampling plan Sampling and data collecting Data which can be selected↑ ↑