Student ID: g202315770- Abdullah Memon
Course: CRP 505-02
Instructor: Dr Al- Dosary
Ch:10 (Assignment)
Question3:
Sample 1
n1
x̄1
σ1
Sample2
80 n2
104 x̄2
8.4 σ1
70
106
7.6
z-Test: Two Sample for Means
Mean
Known Variance
Observations
Hypothesized Mean
Difference
z
P(Z<=z) one-tail
z Critical one-tail
P(Z<=z) two-tail
z Critical two-tail
Variable 1
64.13333333
8.4
3
Variable 2
61.2
7.6
3
0
1.270170592
0.102011935
1.644853627
0.20402387
1.959963985
t-Test: Two-Sample Assuming Unequal Variances
Mean
Variance
Observations
Hypothesized Mean Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
Variable
1
Variable 2
64.13333
61.2
2473.653 2478.72
3
3
0
4
0.072196
0.472956
2.131847
0.945911
2.776445
As the p value is greater than significance , we donot reject H0
Question 7
2002 Season
n1
x̄1
x̄1
Part a
Ans
2003 Season
60
2h 52m
x̄2
172 x̄2
H0:μ1−μ2≥0
Ha :μ1−μ2<0
Part b
Point
Estimate
Part c
Part d
6
50
2h 46m
166
Part e
Therefore, there was
approximately a 3.49%
reduction in the mean time of
baseball games during the
2003 season compared to the
2002 season.
As for whether management should be pleased with the results, it depends on the
context and the goals of the management. A 3.49% reduction could be considered
significant, especially in a context where even small improvements are valued. However,
it's also important to consider whether this reduction is practically significant and aligns
with the overall objectives and expectations of the organization.
Regarding whether the length of baseball games should continue to be an issue in future years, it
would depend on various factors, including fan satisfaction, player well-being, and overall league
goals. If the reduction is seen as positive and aligns with the interests of stakeholders, it might be an
indication that efforts to shorten game duration are working. However, a comprehensive analysis
should consider multiple factors before making a decision.
Question 11:
Sample 1
Sample 2
10
7
13
7
9
8
8
7
8
4
6
9
Part a
Sample mean 1
Sample mean 2
9
7
Part b
Standard Dev1
Standard Dev2
2.28035085
1.788854382
Part c
Point estimate
2
Part d
t-Test: Two-Sample Assuming Unequal Variances
Variable 1
Mean
Variance
Observations
Hypothesized Mean
Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
9
5.2
6
0
9
1.690308509
0.062614797
1.383028738
0.125229595
1.833112933
Variable 2
7
3.2
6
1.18321596 SQRT
2.16896847 ME
Confidence interval
4.168968472
-0.16896847
Question 15
xsxdsdasdasdasdas
Question
25
Individual Television
Radio
1
22
2
8
3
25
4
22
5
12
6
26
7
22
8
19
25
10
29
19
13
28
23
21
Individual Television Radio
9
21
21
10
23
23
11
14
15
12
14
18
13
14
17
14
16
15
15
24
23
Part a
t test
0.654334026
Part B
19.5
21
The sample mean for the radio (21 hours) is greater than the sample mean for
cable television (19.5 hours).
Therefore, based on the sample data, it appears that the medium with greater usage is the radio.
Question 31
Political Party
Republican
Democrat
part a
Sample Size Participate in Online Surveys
250
115
350
98
Point Estimate for
Republicans:
Point Estimate for Democrats
0.46
0.28
Part b
Point estimate of the
difference
0.18
Part c
Z-score (95%Confidence)
1.959963985
Margin of Error
0.071467501
Part d
Lower Limit
Upper Limit
0.108532499
0.251467501
Question 41
Kitchen
25.2
17.4
22.8
21.9
19.7
23
19.7
16.9
21.8
23.6
Ans
Part a
Point Estimate
Master Bedroom
18
22.9
26.4
24.8
26.9
17.8
24.6
21
-1.6
Part b
Standard Deviation
2.70472837
3.55165957
Sample Size
10
8
Standard Error of the Diffrence
1.51932264
Margin of Error
0.10138211
Confidence Estimate
-1.70138211
-1.49861789
0
