Help with this economics journal! Today, you're going to consider what it would take to put together a budget that would enable you to live on your own. Try to answer the questions below as you write.

Before you begin, list the expenses you might have if you were living alone, and estimate how much you'd need to budget each month to pay for them. You may have to research local housing prices and utility costs to make this as accurate as possible. Ask for some budget figures from people who are already living on their own. Once you've done this, make categories for your expenses. Then, total up your monthly budget to see what you'd have to earn in order to live on your own.

1. How much would you have to earn each month to cover your living expenses? Does this seem like a realistic income for you?
2. Did anything about your estimated monthly budget surprise you?
3. What kinds of preparations and sacrifices might you have to make to live on your own?
4. How does the prospect of moving out seem in light of this budget?

Acompany manufactures hair dryers. it buys some of the components, but it makes the heating element, which it can produce at the rate of 920 per day. hair dryers are assembled daily, 250 days a year, at a rate of 360 per day. because of the disparity between the production and usage rates, the heating elements are periodically produced in batches of 2,300 units. a. approximately how many batches of heating elements are produced annually? b. if production on a batch begins when there is no inventory of heating elements on hand, how much inventory will be on hand 4 days later? c. what is the average inventory of elements, assuming each production cycle begins when there are none on hand?

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e.g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.

Match the different financial task to their corresponding financial life cycle phases