 
Summary: Practical
6
1.
Are
following
statements
true
or
false?
a)
The
significance
level
of
a
statistical
test
is
equal
to
the
probability
that
the
null
hypothesis
is
true.
b)
If
the
significance
level
of
a
test
is
decreased,
the
power
of
the
test
would
be
expected
to
increase.
c)
If
a
test
is
rejected
at
the
significance
level
,
the
probability
that
the
null
hypothesis
is
true
equals
.
d)
The
probability
that
the
null
hypothesis
is
falsely
rejected
equals
to
the
power
of
the
test.
e)
A
type
I
error
occurs
when
the
test
statistic
falls
in
the
rejection
region
of
the
test.
f)
A
type
II
error
is
more
serious
than
a
type
I
error.
g)
The
power
of
the
test
is
determined
by
the
null
distribution
of
the
test
statistics.
h)
The
likelihood
ratio
is
a
random
variable.
2.
Poisson
distribution
The
distribution
Poisson()
with
parameter
>
0
is
given
by
the
probability
