Financing obtained from investors who believe the borrower will experience rapid growth and who receive equity (part ownership) in return is called Venture capital.
<h3>What is venture capital example?</h3>
- Venture Capital (VC) is the term used to describe investment given by investors to small or newly established companies that have a promising future.
- A venture capital fund is a type of private equity that is funded by institutional and private investors, including investment banks, insurance providers, and pension funds.
<h3>What is a venture capital in business?</h3>
- A type of funding for creative, early-stage enterprises with significant growth potential is venture capital (VC).
- For entrepreneurs and start-up businesses, venture capital provides financing and operational experience, generally, but not always, in technology-based industries like ICT, health sciences, or fintech.
<h3>What is venture capital and its types?</h3>
- The use of venture capital funds at various phases of a firm determines how they are categorized.
- Early stage financing, expansion financing, and acquisition/buyout financing are the three basic forms.
- Early stage financing is divided into three subgroups.
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It is called the vertical integration. It is where an organization grows its business operations into various strides on a similar creation way, for example, when a maker possesses its provider or wholesaler. vertical integration can enable organizations to lessen costs and enhance efficiencies by diminishing transportation costs and decreasing turnaround time, among different favorable circumstances.
Answer:
Explanation:
given,
Mean,μ= 35mm
Standard Deviation,σ = 0.5mm
Sample size, n = 36
Sample Standard deviation =
= 
= 0.0833
The interested diameter is between 34.95 to 35.18 mm
Calculating the Z score of the for the diameter mentioned.



now, Form Z-table


Subtracting the value
= 0.9846 - 0.2741
= 0.71
Hence, the required probability is that the diameter of bearing is in between 34.95 and 35.18 mm is equal to 0.71.
It would most likely violate assumption of normality
Under assumption of normality, we will assume that all variables that relevant to our observation are distributed normally.
Skewed distribution happens when there is an imbalance/anomaly in the distribution, so it will violate the assumption.