For each example below, state the null and alternative hypotheses. 1. A light bulb manufacture claims that the mean life of a certain light bulb is 750 hours. The three you purchased only lasted 700 hours.
2. As stated by a company’s shipping department, the number of shipping errors per million shipments is 15. Last month, there were 20 errors per million shipments.
3. The mean price of a certain model of car is $30,000, according to commercials. However, you stop by five different dealerships, and each has the car listed for more than $30,000.
4. A research organization reports that 33% of the residents in Ann Arbor, Michigan are college students. It seems “everyone” who lives there attends the University of Michigan though.
5. The results of a recent study show that the proportion of drivers in the United States who wear seat belts when driving is 84%. This number seems “off” to you, and you think it might be a different proportion.

20. sinclair company's single product has a selling price of $25 per unit. last year the company reported a profit of $20,000 and variable expenses totaling $180,000. the product has a 40% contribution margin ratio. because of competition, sinclair company will be forced in the current year to reduce its selling price by $2 per unit. how many units must be sold in the current year to earn the same profit as was earned last year? a. 15,000 units b. 12,000 units c. 16,500 units d. 12,960 units

Which type of market are you in if your company, along with three other companies, controls 95 percent of the total music industry?

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .