Asked by Bobbie
A probability distribution has a mean of 57 and a standard deviation of 1.4. Use Chebychev’s inequality to find the value of c that guarantees the probability is at least 96% that an outcome of the experiment lies between 57 - c and
57 - c. (Round the answer to nearest whole number.)
57 - c. (Round the answer to nearest whole number.)
Answers
Answered by
PsyDAG
It would help if you proofread your questions before you posted them.
"lies between 57 - c and
57 - c" = 0
98% = mean ± Z (SD)
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion/probability (±.48) and its Z score. Insert data into above equation and solve.
"lies between 57 - c and
57 - c" = 0
98% = mean ± Z (SD)
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion/probability (±.48) and its Z score. Insert data into above equation and solve.
Answered by
PsyDAG
It would help if you proofread your questions before you posted them.
"lies between 57 - c and
57 - c" = 0
98% = mean ± Z (SD)
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion/probability (±.48) and its Z score. Insert data into above equation and solve for Z(SD).
"lies between 57 - c and
57 - c" = 0
98% = mean ± Z (SD)
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion/probability (±.48) and its Z score. Insert data into above equation and solve for Z(SD).