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The LFS provides estimates of employment and unemployment which are among the most timely and important measures of performance of the Canadian economy. Recently, the monthly LFS sample was increased to approximately 56,000 households from 54,000. It should be noted that the LFS sample size is subject to change from time to time in order to meet data quality or budget requirements, resulting in the collection of labour market information for approximately 100,000 individuals. The LFS covers the civilian, non-institutionalized population 15 years of age and over. It is conducted nationwide, in both the provinces and the territories. Excluded from the survey's coverage are: persons living on reserves and other Aboriginal settlements in the provinces; full-time members of the Canadian Armed Forces and the institutionalized population. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over. The LFS uses a probability sample that is based on a stratified multi-stage design. Each province is divided into large geographic strata. The first stage of sampling consists of selecting smaller geographic areas, called clusters, from within each stratum. The second stage of sampling consists of selecting dwellings from within each selected cluster. *** Fill in each blank in the following paragraph by choosing 1 term from the bank below. Each blank is worth 1 mark. Terms may be used more than once, if necessary. [7 marks in total] target study parameter explanatory error sampling protocol sample measurement attribute descriptive random variable causative predictive likelihood unbiased proportion variance biased From the above extract, selecting households in geographic clusters is part of the There is a aspect to this study. One of interest is the wage per hour of Canadians. The response variate (y) is the wage per hour. Some people may not be comfortable disclosing this information and may give inaccurate information. This would be classified as error. Several groups are excluded, making up less than 2% of the population. Any error due to these groups being excluded would be considered error