In: Statistics and Probability
QUESTION ONE:
A company has set a goal of developing a rechargeable battery
that lasts over 5 hours (300 minutes) in continuous use,
on average. A random sample of 10 of these batteries measured the
following lifespans (in minutes): 319, 294, 336, 353,
341, 329, 315, 329, 302, and 289.
(a) Display the sample data in a stemplot and describe the distribution.
(b) Is there convincing evidence that the company has met its goal? Provide statistical evidence to support your answer.
QUESTION TWO:
Researchers conducted a study to test a potential side effect of
a new allergy medication. 200 subjects with allergies
were used for the study. The new “improved” Brand A medication was
randomly assigned to 100 subjects, and the
current Brand B medication was randomly assigned to the other 100
subjects. 13 of the 100 patients with Brand A
reported drowsiness, and 23 of the 100 patients with Brand B
reported drowsiness.
(a) Construct and interpret a 90% confidence interval for the
difference in proportions of subjects reporting drowsiness.
(b) Describe in detail a method that could have been used to
randomly assign the Brand A and Brand B medications to
the subjects.
A)
Frequency | Stem | Leaf |
1 | 28 | 9 |
1 | 29 | 4 |
1 | 30 | 2 |
2 | 31 | 5 9 |
2 | 32 | 9 9 |
1 | 33 | 6 |
1 | 34 | 1 |
1 | 35 | 3 |
10 |
Distribution seems to be normal
b)
Ho : µ = 300
Ha : µ > 300
(Right tail test)
Level of Significance , α =
0.05
sample std dev , s = √(Σ(X- x̅ )²/(n-1) )
= 20.8968
Sample Size , n = 10
Sample Mean, x̅ = ΣX/n =
320.7000
degree of freedom= DF=n-1= 9
Standard Error , SE = s/√n = 20.8968 / √
10 = 6.6082
t-test statistic= (x̅ - µ )/SE = ( 320.700
- 300 ) / 6.6082
= 3.13
p-Value = 0.0060 [Excel formula
=t.dist(t-stat,df) ]
Decision: p-value<α, Reject null hypothesis
Conclusion: There is enough evidence that battery lasts
over 5 hour.
====================================================
a)
level of significance, α = 0.10
Z critical value = Z α/2 =
1.645 [excel function: =normsinv(α/2)
Std error , SE = SQRT(p̂1 * (1 - p̂1)/n1 + p̂2 *
(1-p̂2)/n2) = 0.0539
margin of error , E = Z*SE = 1.645
* 0.0539 = 0.0886
confidence interval is
lower limit = (p̂1 - p̂2) - E = -0.100
- 0.0886 = -0.1886
upper limit = (p̂1 - p̂2) + E = -0.100
+ 0.0886 = -0.0114
so, confidence interval is ( -0.1886 <
p1 - p2 < -0.0114 )
b)
We can use SRM simple random sampling
THANKS
revert back for doubt
please upvote