Explain clearly and in your own words the reason for conducting a hypothesis test instead of simply comparing sample statistics

Case study 1: Amazon Fresh

The new Amazon Till-Less shop (Amazon Fresh) has just opened in London. It offers a shopping experience without the use of a till for payment. A study with an objective to examine the level of take-up for shopping Till-Less was conducted and has set the following research questions:

RQ1: Is the proportion of people who consider shopping at Amazon Fresh greater than 50%?

RQ2: Is the proportion of people who consider shopping at Amazon Fresh different between those who are comfortable with mobile technology and those who are not?

A simple random survey, conducted among shoppers at a traditional food supermarket, used an instrument in which the following two questions are of interest for this study.

Question 1: Are you comfortable with mobile technology?
0. No 1. Yes
Question 2: Would you consider shopping at AMAZON Fresh?
No 1. Yes
The dataset for this survey is collated in the SPSS and Jamovi files “Amazon”.

Required:
For this case study, we are required to produce the following tasks

Produce a frequency table for the dependent variable “Take up” and report your findings.
[Max: 50 words]
Conduct an appropriate hypothesis test fully to inform on the RQ1 above. [Max: 50 words]

Conduct an appropriate hypothesis test fully to inform on the RQ2 above. [Max: 50 words]

General question: Explain clearly and in your own words the reason for conducting a hypothesis test instead of simply comparing sample statistics of RQ2 above. [Max: 100 words]
The output for the two tests above is included in the appendix at the end of this brief. You may decide to produce your own output by using the data available to you. You should insert the appropriate output to evidence your reports.
The reports should follow the classic research style adopted during the online classes. For full marks, you should clearly state the null and alternative hypotheses for each test.

Conducting a hypothesis test is necessary in this case because it provides a statistical framework for evaluating the significance of the research questions and determining whether the observed differences between groups are due to chance or a genuine effect. Simply comparing sample statistics, such as the proportions of people who consider shopping at Amazon Fresh, does not provide a reliable indication of whether the differences are statistically significant or not. By using a hypothesis test, the researchers can set up null and alternative hypotheses, calculate the appropriate test statistic and p-value, and make a statistically sound conclusion about the significance of the observed differences. This helps to ensure that the results are reliable and can be used to draw meaningful conclusions about the research questions.

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Marital Status Inventory (MSI) asks several questions related to steps a couple may have taken toward ending their relationship. However, this measure does not assess barriers to ending a relationship. Such factors would be important to know about. What might be some factors to inquire about with members of a couple that could represent barriers to separation or divorce?

Marital Status Inventory (MSI) asks several questions related to steps a couple may have taken toward ending their relationship. However, this measure does not assess barriers to ending a relationship. Such factors would be important to know about. What might be some factors to inquire about with members of a couple that could represent barriers to separation or divorce?

There are several factors that could represent barriers to separation or divorce in a couple. These might include financial concerns, such as shared debts or a lack of financial resources to support two households. Other potential barriers could include concerns about child custody or visitation arrangements, as well as emotional attachments or cultural or religious beliefs that make it difficult for individuals to consider ending their relationship. Additionally, fear of social stigma or a lack of social support could also represent significant barriers to separation or divorce. By understanding these barriers, concerned parties can work to develop strategies for overcoming them and moving forward with a decision that is in the best interests of all parties involved.

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What is the relationship between the SDLC and the DBLC? Are there any similarities? Are there any parallel activities in DBLC? What basic database design strategies exist? Describe Top Down and Bottom up, Centralized and Decentralized Design). Explain how such strategies executed? And what are the consideration to know which strategy to choose?

1) What is the relationship between the SDLC and the DBLC? Are there any similarities? Are there any
parallel activities in DBLC?
2) What basic database design strategies exist? Describe Top Down and Bottom up, Centralized and
Decentralized Design). Explain how such strategies executed? And what are the consideration to know
which strategy to choose?

The Systems Development Life Cycle (SDLC) and the Database Life Cycle (DBLC) are related processes that share some similarities. Both involve a series of phases or stages that are used to develop and implement software systems or database applications. In the DBLC, there are parallel activities that correspond to the phases in the SDLC, such as requirements gathering, design, implementation, and testing. However, the DBLC places a greater emphasis on data modeling and database design, whereas the SDLC focuses more broadly on system development and deployment. Overall, the two life cycles are complementary processes that are used to ensure the successful development and implementation of complex software systems and database applications.

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