Please help me :(( A city manager wants to know whether the true mean number of temporary secretaries employed per day is 24. If, in a random sample of 60 days, the mean number of temporary secretaries employed is 21.6 with a standard deviation of 7.1, is there, at the 0.05 level of significance, sufficient evidence to reject the null hypotheses μ = 24? Verify the result with p-value hypothesis.

Michigan mattress company is considering the purchase of land and the construction of a new plant. the land, which would be bought immediately (at t = 0), has a cost of $100,000 and the building, which would be erected at the end of the first year (t = 1), would cost $500,000. it is estimated that the firm's afterminustax cash flow will increase by $100,000 starting at the end of the second year, and that this incremental flow would increase at a 10 percent rate annually over the next 10 years. what is the approximate payback period?

You decide that structural changes must be made at holden evans immediately to deal with the additional product lines. equipment and employees will have to be moved around to optimize production of all of the products in house. this shouldn't be too difficult because many of the vitamins and supplements are produced using similar processes. you have several options available to facilitate this process. which of the following methods do you think is the best choice? select an option from the choices below and click submit. because the changes may result in the loss of several key employees, you hire outside consultants who specialize in hr law. this way any employee terminations will not result in lawsuits. you select an outside consulting firm that your company has never worked with before, but it has a reputation for using new technology in product lines that are similar to yours. you select several trusted managers to facilitate the transition of operations from overseas. these individuals can gather information and also smooth any rough spots that may occur.

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 .