Statistics Culminating Investigation

• Hypothesis
• what type of data it is (e.g., primary or secondary, discrete or continuous)
• Your conclusion (do the data lead you to confirm or reject your hypothesis?)

1. two correlation analysis ( scatter plot, line of best fit, correlation coefficient)

2. two-variable analysis in which both variables are qualitative.

DATA

Frequency: Annual

Table: 14-10-0078-01 (formerly CANSIM 282-0086)

Geography: Canada, Province or territory

Geography 2 : CANADA

Sex: BOTH SEXES

Age group: 15 YEARS AND OVER

Supplementary unemployment rates3

Frequency: Annual Table: 14-10-0078-01 (formerly CANSIM 282-0086) Geography: Canada, Province or territory Geography 2 : CANADA Sex: BOTH SEXES Age group: 15 YEARS AND OVER Supplementary unemployment rates' 2015 2016 2017 2018 2019 (PERCENTAGE) R1 - unemployed 1 year or more = 0.8 0.8 0.7 0.6 0.5 R2 - unemployed 3 months or more = 2.5 2.5 2.3 1.9 1.7 R3 - comparable to the United States rate " 5.9 6.0 5.3 4.8 4.6 R4 - official rate ? 6.9 7.0 6.3 5.8 5.7 R5 - plus discouraged searchers 7.0 7.1 6.5 5.9 5.8 R6 - plus waiting group (recall, replies, long-term future starts) 2 7.6 7.6 6.9 6.4 6.3 R7 - plus involuntary part-timers (in full-time equivalents) 10 9.1 9.2 8.4 7.5 7.2 R8 - plus discouraged searchers, waiting group, portion of involuntary part-timers I 9.9 9.8 9. 1 8,3 8.0