Question

Suppose we are given a probability distribution that has a mean
if 12 and a standard deviation of 0.9. Use the Chebyshev inequality to find a lower bound estimate of the following probabilities: |

(a) | The probability that the outcome will lie between 8 and 16 |

(b) | The probability that the outcome lies between 8.5 to
15.5 |

Answer #1

suppose that probability distribution that mean 20 and
standard deviation 3. According to chebychev inequality what is the
probability that an outcome lies between 16 and 24?

A probability distribution has a mean of 45 and a standard
deviation of 2. Use Chebychev's inequality to find a bound on the
probability that an outcome of the experiment lies between the
following.
(a) 41 and 49
at least ___ %
(b) 35 and 55
at least ____ %

A probability distribution has a mean of 25 and a standard
deviation of 4. Use Chebychev's inequality to find a bound on the
probability that an outcome of the experiment lies between the
following.
(a) 20 and 30
at least %
(b) 15 and 35
at least %

A probability distribution has a mean of 50 and a standard
deviation of 10. Use Chebyshev's inequality to find the minimum
probability that an outcome is between 10 and 90. (Round your
answer to four decimal places.)

A probability distribution has a mean of 70 and a standard
deviation of 2. Use Chebyshev's inequality to find the minimum
probability that an outcome is between 65 and 75. (Round your
answer to four decimal places.)

The mean of a normal probability distribution is 440; the
standard deviation is 16. About 68% of the observations lie between
what two values? About 95% of the observations lie between what two
values? Practically all of the observations lie between what two
values?

The mean of a normal probability distribution is 390; the
standard deviation is 14.
a. About 68% of the observations lie between what
two values?
Lower Value
Upper Value
b. About 95% of the observations lie between
what two values?
Lower Value
Upper Value
c. Nearly all of the observations lie between
what two values?
Lower Value
Upper Value

The mean of a normal probability distribution is 400; the
standard deviation is 15. a. About 68% of the observations lie
between what two values? Lower Value Upper Value b. About 95% of
the observations lie between what two values? Lower Value Upper
Value c. Nearly all of the observations lie between what two
values? Lower Value Upper Value
statisyics

The mean of a normal probability distribution is 380; the
standard deviation is 90.
a. μ ± 1σ of the observations lie between what
two values?
Lower Value
Upper Value
b. μ ± 2σ of the observations lie between what
two values?
Lower Value
Upper Value
c. μ ± 3σ of the observations lie between what
two values?
Lower Value
Upper Value

consider a uniform probability distribution over the interval of 12
and 20. what are the mean and standard deviation of this uniform
distribution.
Find the prob of s value more than 14.
What is the probability of a value between 8.5 and 10.5
Show that the total area is 1.00

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