In 2015, there were 14,100 students at college A, with a projected enrollment increase of 1500 students per year. In the same year, there were 41,700 students at college B, with a projected enrollment decline of 800 studentsper year. In which year will the colleges have the same enrollment? What will be the enrollment in each college at that time?

In a certain year, Babe Ruth from the New York Yankees had 18 hits in April, 33 in May, 38 in June, 30 in July, 44 in August, and 38 in September.  He had 529 appearances at bat.  What was Babe Ruth’s batting average during those months?

A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1000s)                  Annual Revenue ($ millions)11.5                               118 10.0                               135 9.0                                 100 5.5                                 37 3.3                                 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA   df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677     Total 4 8925.2…

In 1994, there were 714 violent crime incidents per 100,000 Americans. For the period from 1994 through 2014, this number decreased by approximately 17 incidents per 100,000 people each year. If this trend continues, by which year will violent crime incidents decrease to 289 per 100,000 people?

The populations of the three largest cities in Canada were the first city with 5,317,957 people, the second city with 3,601,835 people, and the third city with 2,212,824 people. Estimate the total population of the three cities. The total population is approximately people.

The infamous Gillette ad has 1.55 million “dislikes” on YouTube, making it the 26th most disliked video on YouTube.  If 1% of the people who disliked the video are male former Gillette customers who will now boycott Gillette, and if Gillette razors cost $30 for a pack of 10, and if a man uses 1 Gillette razor per day, and if a year has 365 days, how much money will Gillette lose per year?

According to the authors of a certain​ book, in a global village of 200 ​people, 27 suffer from malnutrition. How many people of the world's 6.9 billion people​ (2010 population) suffer from​ malnutrition?

The Centers for Disease Control and Prevention estimates that 0.2% of the US population died of heart disease in 2006.  A new medical treatment plan claims that it will reduce the risk of dying from heart disease by 12%.  There were approximately 311 million people in the US in 2006.  With this new treatment plan, how many people could be saved in a year if it works?     74,640     622.000     746,400     37,320,000     62,200,000

Initially, 10 people have an infection. The next day, every infected people infects one moreperson. If this pattern continues, how many days will it take for 1280 people to be infected?

A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1,000s)       Annual Revenue ($ millions)11.5                   118 10.0                   135 9.0                     100 5.5                     37 3.3                     32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA   df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677     Total 4 8925.2           Coefficients Standard Error t Stat P-value Intercept -19.12490108 23.1658578…