Answer:
10 ways to increase your wholesale sales
1. Offer specials that bring retailers better-than-wholesale prices.
2.Provide outstanding customer service.
3.Make wholesale ordering, delivery, and billing as seamless as possible.
4 Streamline your operations.
5.Make order recommendations.
6.Create compelling, eye-catching campaigns.
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I would say that the last answer is the most likely to occur
Answer:
Par value of common stock is $2.5
Explanation:
The par value of common stock can determined by dividing the common stock total amount in each of the two years by the shares issued and outstanding in each year as demonstrated below:
2019:
Par value of common stock =Common stock($)/shares issued
common stock($) is $555 million
shares issued and outstanding is 222 million shares
par value of common stock=$555 million/222 million=$2.5
2020:
Par value of common stock =Common stock($)/shares issued
common stock($) is $560 million
shares issued and outstanding is 224 million shares
par value of common stock=$560 million/224 million=$2.5
Ultimately the par value of common stock as shown be computations for both years is $2.5
The given values in the problem are enumerated below:
futa tax rate = 0.8%
suta tax rate = 5.4 %
Employee's fee = $7,100
Amount taxes = $7100 *(0.008+0.054)= $440.2
When an employee earned total wages of $9100, we can solve the unknown:
Employee's wages = $9100 + $440.2
Employee's wages = $ 9540.2
Answer:
Data Preparation/Assembling Analysis
Explanation:
In the data analysis step of Market Research, the data collected in the research are put together, arranged in an organized form, put through detailed review, properly verified by an valid process, interpreted and expounded
In the preparation and analysis step, the data is formatted by editing, coding, transcription and verification to enable accurate analysis of the collected information. Data validation process is put in place to ensure that the proper data that quantifies the desired metrics are obtained.
The process of data preparation and analysis enables the decision making process by promoting the process of suggesting conclusions, whereby useful information is highlighted by the modelling, transformation, cleaning, and inspection data analysis processes
