You want to test whether or not the following sample of 30 observations follows a normal distribution. The mean of the sample equals 11.83 and the standard deviation equals 4.53.
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The p-value is
a. between .025 and .05.
b. greater than .1.
c. between .05 and .1.
d. less than .005.
Answer : (b) (p value is greater than 0.1)
Applying the one sample t-test, with the value t as
t= (sample mean – hypothesized mean) / standard error of sample mean
sample mean (given) = 11.83
standard deviation = 4.53
n =30
hypothesized mean based on the 30 samples = summation of the values given in the table / n = 11.43
Applying all the values for the t test : t-statistic = 0.484 ;
Comparing the values of the t distribution table, thus the p value = 0.6323 (at 95% of confidence level)
You want to test whether or not the following sample of 30 observations follows a normal...
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#11 At a 5% level of significance, if we want to determine
whether or not the means of the populations are equal, the
conclusion of the test is that:
a. all means are equal.
b. some means may be equal.
c. not all means are equal.
d. some means will never be equal.
#12 If we want to determine whether or not the means of the
populations are equal, the p-value is
a. greater than .1.
b. between .05 to...
#11)
At a 5% level of significance, if we want to determine whether
or not the means of the populations are equal, the conclusion of
the test is that
a.
all means are equal.
b.
some means may be equal.
c.
not all means are equal.
d.
some means will never be equal.
#12
If we want to determine whether or not the means of the
populations are equal, the p-value is
a.
greater than .1.
b.
between .05 to...
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The accompanying data shows the weekly purchases of printers at
a particular electronic store. Using
alpha α equals=0.050
perform a chi-square test to determine if the number of
printers sold per week follows a normal probability distribution.
Note that
x equals=11.2
and
s equals=4.5
Click the icon to view the weekly purchases of printers.
Use the intervals below to calculate the chi-square test
statistic, χ2.
Interval 1:
z
≤−1.0
Interval 2:−1.0
<
z
≤
0
Interval 3:
0
<
z...
Please show 6 step process and if possible show chart
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