describe four strategic predispositions. Select one strategic predisposition as your go-to strategy or the one that you relate to the most. Explain how you would use it to strengthen your abilities as an international manager. Then, briefly describe how the other strategic predispositions differ from your go-to strategy. Provide an example of when it is appropriate to use each strategic disposition.

Your response should be at least 500 words in length. All sources used must be referenced; paraphrased and quoted material must have accompanying citations.

after a ______ passes the weather usually gets warmer

20.) You’re using a wedge to split a log. You are hitting the wedge with a large hammer to drive it into the log. It takes a force of 2000 N to push the wedge into the wood. If the wedge moves 0.2 into the log, how much work have you done on the wedge? this is the answer We know the work we do on an object is calculated by multiplying the applied force and the distance it travels in the direction of motion. In this case, all the force is along the direction of motion, so the work is (2000N)*(0.2 m) = 400 J 21) the wedge in problem 20 acts like, slowly splitting the wood apart as it enters the log. the work you do in the wedge pushing it into the log, is the work it does on the wood, separating its two halves. if the two halves of the wedge only separate by distance of 0.05 m while the wedge travels 0.2m into the log, how much force is the wedge exerting on the two halves of the log to rip them apart. please I need the answer so badly with explanation as well. Thank you all

1. Nominal data usually describes qualitative information. This essentially means that the information can be categorized or “named,” hence the term “nominal.” A common example of nominal data is gender. The classification for male (1) or female (2) can be used to describe participants in a study. 2. Ordinal data is essentially one step up from nominal. In fact, it is very similar to nominal data, but the information usually follows some type of ranking “order,” hence the term “ordinal.” An example would be ranking frozen pizzas – poor, fair, good, excellent. 3. Interval data is another level up on the list and is used to only describe quantitative information. This allows us to begin using mathematical operations to analyze the data. Statistics texts will often use temperature measurements as an example for interval data. 4. Ratio data is the final level of measurement scales. This type of data allows us to compare relative values using a true zero point. An example of ratio would be weight (as in the weight loss example from last week.) Provide additional examples for each category of data above?