Answer
Learner's license expires after six months of the date of issue
Explanation:
The learner's license issued to make a person eligible to learn driving in a given time period. In India the learning license is valid for six months after the issuing date but the person have to apply for the driving license within the three months of the issued date. You can drive the vehicles listed in the learner's license document even after the three months of the issuing date. The process of obtaining a driving license have certain process
- Go to the online web portal of your state driving license authority apply for the driving license and print the application form page from there.
- Attach this application form and RED CROSS certificate with the file given by the R.T.O office and submit this to them.
- The authority will give you date, time and site of the driving test where you have to got there with your vehicle for the test.
- If you passes the driving test your file will pass and you can take your driving license after some days from the R.T.O office.
Answer:
the data are inadequate
Explanation:
<u>If there are 15 people on the team, and only five have been asked about the mascot, </u><u>this means the data collecting is wrong, and the result doesn’t include thoughts of the majority</u>. If Diana and Kinsey want to have adequate data,<u> they should ask as many as possible, if not all players in the team</u>. This would truly show what the majority wants meaning it will show what the team wants. This kind of complete data correcting is the correct one.
Determine whether w is in the span of the given vectors v1; v2; : : : vn
. If your answer is yes, write w as a linear combination of the vectors v1; v2; : : : vn and enter the coefficients as entries of the matrix as instructed is given below
Explanation:
1.Vector to be in the span means means that it contain every element of said vector space it spans. So if a set of vectors A spans the vector space B, you can use linear combinations of the vectors in A to generate any vector in B because every vector in B is within the span of the vectors in A.
2.And thus v3 is in Span{v1, v2}. On the other hand, IF all solutions have c3 = 0, then for the same reason we may never write v3 as a sum of v1, v2 with weights. Thus, v3 is NOT in Span{v1, v2}.
3.In the theory of vector spaces, a set of vectors is said to be linearly dependent if at least one of the vectors in the set can be defined as a linear combination of the others; if no vector in the set can be written in this way, then the vectors are said to be linearly independent.
4.Given a set of vectors, you can determine if they are linearly independent by writing the vectors as the columns of the matrix A, and solving Ax = 0. If there are any non-zero solutions, then the vectors are linearly dependent. If the only solution is x = 0, then they are linearly independent.
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