20171212163011bottling_company_case_study x
PARAPHRASE ONLY THE THEORY PARTS
Running Head: BOTTLING COMPANY CASE ANALYSIS
1
BOTTLING COMPANY CASE ANALYSIS 2
Bottling Company Case Analysis
Name
Course
Tutor
Date
Question one
The mean, median, and standard deviation
Answer:
Mean
14.87
sd
0.55033
Median
14.8
See the excel sheet flor the calculations
Question two
95% Confidence Interval
Answer:
Level of confidence is at 95%.
Confidence interval
=
After substituting the value the Confidence interval will be;
=
Thus, the confidence interval at 95% confidence is 14.665 ~ 15.075 ounces.
Question three
Conduct a hypothesis
Answer:
Statistical hypothesis gives data concerning the circulation of information X. therefore, it will work to decide the possible arrangement of distribution of the X variable with the statement set to be valid. The fundamental motivation behind the use of hypothesis is to decide if there is adequate help from the statistics to dismiss the expected invalid hypothesis in support to the alternative hypothesis.
H0 is denoted as null hypothesis.
H1 is denoted as alternative hypothesis.
The hypothesis in this case is simple because it considers single variable X.
Null hypothesis:
H0: µ ≥ 16 ounces
Alternative hypothesis:
H1 < 16 ounces.
Statistic = t (df = n1 =29)
Critical value t0.95 = 1.699
Area of rejection tt
From the test above outlined test and with a 5% significance level, it is evident that the bottle contains few than 16 ounces thus falling in the rejection area. Therefore, the invalid hypothesis H0: µ ≥ 16 ounces is rejected with the mean being below 16.
Question four
If you conclude that there are less than sixteen (16) ounces in a bottle of soda, speculate on three (3) possible causes. Next, suggest the strategies to avoid the deficit in the future
Answer:
From the above given analysis, it is crystal clear that consumers complaints are true that bottles do not contain 16 ounces of soda. Below are some of the reasons that might have led to this;
· The soda dispensers may have a few blames consequently influencing the allocator to apportion under 16 ounces of pop in the jug.
· The covers of the holders may not be proper consequently causing spills and lessening amount.
· Absence of viable quality control measurements in the organization went for setting up the suitability of the amount being provided
· Poor alignment in the program utilized by the organization
Compelling strategies should be in a way that seeks to give no room for such later complaints. Therefore, it is essential that the company looks at the performance of the dispenser. In case of any problem that affects the dispenser, it will be crucial to replace it with advanced technologies that will dispense appropriate and error-free quantities of soda. Additionally, the company needs to review the effectiveness of all the machines and technologies used. This will enable the organization to establish the best time to upgrade to new technologies or whether to continue with the technology in place. Moreover, the company should put in place effective quality control systems so as to avoid such consequences in future. Another important strategy is the close monitoring of the operations of the company with the aim of improving the performance.
Appendix 1:
1
14.5
2
14.6
3
14.7
4
14.8
5
14.9
6
15.3
7
14.9
8
15.5
9
14.8
10
15.2
11
15
12
15.1
13
15
14
14.4
15
15.8
16
14
17
16
18
16.1
19
15.8
20
14.5
21
14.1
22
14.2
23
14
24
14.9
25
14.7
26
14.5
27
14.6
28
14.8
29
14.8
30
14.6
Mean
14.87
=AVERAGE(C2:C31)
sd
0.55033
=_xlfn.STDEV.S(C2:C31)
Median
14.8
=MEDIAN(C2:C31)