Confidence intervals are 95%.

^a Population aged 15 and over who reported perceiving that most days in their life were quite a bit or extremely stressful. Perceived life stress refers to the amount of stress in the person's life, on most days, as perceived by the person or, in the case of proxy response, by the person responding.

^b Population aged 12 and over who reported having consulted with a medical doctor in the past 12 months. Medical doctor includes family or general practitioners as well as specialists such as surgeons, allergists, orthopaedists, gynaecologists or psychiatrists. For population aged 12 to 17, includes pediatricians. Only available for Manitoba for 2011-2012.

E denotes a high sampling variability associated with the estimate. The coefficient of variation for these estimates is equal to or falls between 16.6% and 33.3%. Please use with caution.

Self-Perceived Life Stress

How one rates the amount of stress in his/her life.

Canadian Community Health Survey (CCHS)

The Canadian Community Health Survey is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. It is designed to answer two crucial questions:

1. How healthy are Canadians?

2. How healthy is the Canadian health care system?

The CCHS targets persons age 12 years and older living in private dwellings. Excluded from the sample are individuals living on Indian Reserves or Crown Lands, institutional residents, full time members of the Canadian Armed Forces and residents in certain remote areas.

Proxy Interview

In cases where the selected respondent was, for reasons of physical or mental health, incapable of completing an interview, another knowledgeable member of the household provided information about the selected respondent.

Confidence Interval

A confidence interval gives an estimated range of values which is likely to include an unknown population parameter, the estimated range being calculated from a given set of sample data.

If independent samples are taken repeatedly from the same population, and a confidence interval calculated for each sample, then a certain percentage (confidence level) of the intervals will include the unknown population parameter. A confidence level of 95% implies that 95% of all samples would give an interval that includes the population parameter.

The width of the confidence interval gives us some idea about how uncertain we are about the unknown parameter. A very wide interval may indicate that more data should be collected before anything very definite can be said about the parameter.

Confidence Level

The confidence level is the probability value (1-alpha) associated with a confidence interval.

It is often expressed as a percentage. For example, say alpha = 0.05 = 5%, then the confidence level is equal to (1-0.05) = 0.95, i.e. a 95% confidence level.

If independent samples are taken repeatedly from the same population, and a confidence interval calculated for each sample, then a certain percentage (confidence level) of the intervals will include the unknown population parameter. A confidence level of 95% implies that 95% of all samples would give an interval that includes the population parameter.

Example:
Suppose an opinion poll predicted that, if the election were held today, the Conservative party would win 60% of the vote. The pollster might attach a 95% confidence level to the interval 60% plus or minus 3%. That is, he thinks it very likely that the Conservative party would get between 57% and 63% of the total vote.

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