
Concept explainers
Median Income for Canadian Provinces and Territories, 2000 and 2011 (Canadian dollars)
Province or Territory | 2000 | 2011 |
Newfoundland and Labrador | 38,800 | 67,200 |
Prince Edward Island | 44,200 | 66,500 |
Nova Scotia | 44,500 | 66,300 |
New Brunswick | 43,200 | 63,930 |
Quebec | 47,700 | 68,170 |
Ontario | 55,700 | 73,290 |
Manitoba | 47,300 | 68,710 |
Saskatchewan | 45,800 | 77,300 |
Alberta | 55,200 | 89,930 |
British Columbia | 49,100 | 69,150 |
Yukon Columbia | 56,000 | 90,090 |
Northwest Territories | 61,000 | 105,560 |
Nunavut | 37,600 | 65,280 |
|
||
|
||
|
||
|
Median Income for Thirteen States, 1999 and 2012 (U.S dollars)
State | 1999 | 2012 |
Alabama | 36,213 | 43,464 |
Alaska | 51,509 | 63,348 |
Arkansas | 29,762 | 39,018 |
California | 43,744 | 57,020 |
Connecticut | 50,798 | 64,247 |
Illinois | 46,392 | 51,738 |
Kansas | 37,476 | 50,003 |
Maryland | 52,310 | 71,836 |
Michigan | 46,238 | 50,015 |
New York | 40,058 | 47,680 |
Ohio | 39,617 | 44,375 |
South Dakota | 35,962 | 49,415 |
Texas | 38,978 | 51,926 |
|
||
|
||
|
||
|
3.6
Median Income for Canadian Provinces and Territories, 2000 and 2011 (Canadian dollars)
Province or Territory | 2000 | 2011 |
Newfoundland and Labrador | 38,800 | 67,200 |
Prince Edward Island | 44,200 | 66,500 |
Nova Scotia | 44,500 | 66,300 |
New Brunswick | 43,200 | 63,930 |
Quebec | 47,700 | 68,170 |
Ontario | 55,700 | 73,290 |
Manitoba | 47,300 | 68,710 |
Saskatchewan | 45,800 | 77,300 |
Alberta | 55,200 | 89,930 |
British Columbia | 49,100 | 69,150 |
Yukon Columbia | 56,000 | 90,090 |
Northwest Territories | 61,000 | 105,560 |
Nunavut | 37,600 | 65,280 |
|
||
|
Median Income for Thirteen States, 1999 and 2012 (U.S dollars)
State | 1999 | 2012 |
Alabama | 36,213 | 43,464 |
Alaska | 51,509 | 63,348 |
Arkansas | 29,762 | 39,018 |
California | 43,744 | 57,020 |
Connecticut | 50,798 | 64,247 |
Illinois | 46,392 | 51,738 |
Kansas | 37,476 | 50,003 |
Maryland | 52,310 | 71,836 |
Michigan | 46,238 | 50,015 |
New York | 40,058 | 47,680 |
Ohio | 39,617 | 44,375 |
South Dakota | 35,962 | 49,415 |
Texas | 38,978 | 51,926 |
|
||
|

Want to see the full answer?
Check out a sample textbook solution
Chapter 4 Solutions
Essentials Of Statistics
Additional Math Textbook Solutions
Elementary & Intermediate Algebra
Intermediate Algebra (13th Edition)
Elementary Statistics: Picturing the World (7th Edition)
Elementary Statistics ( 3rd International Edition ) Isbn:9781260092561
Finite Mathematics for Business, Economics, Life Sciences and Social Sciences
- A marketing agency wants to determine whether different advertising platforms generate significantly different levels of customer engagement. The agency measures the average number of daily clicks on ads for three platforms: Social Media, Search Engines, and Email Campaigns. The agency collects data on daily clicks for each platform over a 10-day period and wants to test whether there is a statistically significant difference in the mean number of daily clicks among these platforms. Conduct ANOVA test. You can provide your answer by inserting a text box and the answer must include: also please provide a step by on getting the answers in excel Null hypothesis, Alternative hypothesis, Show answer (output table/summary table), and Conclusion based on the P value.arrow_forwardA company found that the daily sales revenue of its flagship product follows a normal distribution with a mean of $4500 and a standard deviation of $450. The company defines a "high-sales day" that is, any day with sales exceeding $4800. please provide a step by step on how to get the answers Q: What percentage of days can the company expect to have "high-sales days" or sales greater than $4800? Q: What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve) Provide answers in the yellow cellsarrow_forwardBusiness Discussarrow_forward
- The following data represent total ventilation measured in liters of air per minute per square meter of body area for two independent (and randomly chosen) samples. Analyze these data using the appropriate non-parametric hypothesis testarrow_forwardeach column represents before & after measurements on the same individual. Analyze with the appropriate non-parametric hypothesis test for a paired design.arrow_forwardShould you be confident in applying your regression equation to estimate the heart rate of a python at 35°C? Why or why not?arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
