"Telephone data analysist" Essays and Research Papers

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    In ’Telephone Conversation’‚ the poet conveys his disappointment and anger about being discriminated by the Caucasian unfairly just because he is an African by portraying the telephone conversation between himself and the British landlady. The poem is in the form of free verse. It is because ’conversation’ isn’t something well-planned; instead‚ the speakers speak what they want during the conversation. Also‚ with the aid of end-stop lines and run-on lines‚ the outlook of the poem gives readers a

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    My telephone rang and a shiver went down my spine. I knew who was calling and why they were calling. I slowly walked towards the phone‚ trying to walk slowly enough so by the time I get there the caller would hang up. But soon enough I founded myself next to the phone‚ because the room didn’t go on for ever. My hand reached out to grab the ringing phone and putted it next to my ear. I heard someone speaking to me through the phone and he said ‘hello’. I quickly answered him back with a shaky voice

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    Question1 Quantitative data are measures of values or counts and are expressed as numbers (www.abs.gov.au). In other words‚ quantitative data are data about numeric variables (www.abs.gov.au). Four types of quantitative data are interval‚ nominal‚ ordinal and ratio. Firstly‚ interval scales are numeric scales in which we know not only the order‚ but also the exact differences between the values (www.mymarketresearchmethods.com). Other than that‚ interval data also sometimes called integer is measured

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    Qualitative Data

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    READING QUESTIONS DAY ANSWERS 1. Which of the following reading components do you find the easiest and the most difficult? Vocabulary Sentence/Syntax Getting the main idea Comprehension Others:_______________ Easiest: _____________ Difficult: _______________ EASIEST COMPONENTS: Vocabulary - 3 Sentence/Syntax - 11 Getting the main idea - 16 Comprehension - 1 DIFFICULT COMPONENTS: Vocabulary - 5 Sentence/Syntax - 9 Getting the main idea - 5 Comprehension – 11 2. Why do you

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    Data Interpretion

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    MEAN SCORE Descriptive Statistics N Mean Std.Deviation Discount 196 1.38 .672 Gift Coupon 196 1.47 .603 Free tour 196 1.91 .929 Cash back 196 1.44 .634 Price 196 1.54 .753 Quality 196 1.44 .592 Quantity 196 1.58 .715 Varity 196 1.68 .609 Brand 196 1.66 .641 Durability 196 1.94 .732 Availability 196 2.04 .902 Promotion Scheme 196 2.24 .944 Advertisement 196 2.10 .871 Promotional scheme of Berger paint is very attractive. 196 1.99 .791

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    Data Collection Strategy

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    Data Collection Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Data collection methods for impact evaluation vary along a continuum. At the one end of this continuum are quantatative methods and at the other end of the continuum are Qualitative methods for data collection . Quantitative and Qualitative Data collection methods The Quantitative data collection methods

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    data security process

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    1) Name and describe data security process. It is about keeping data safe. Many individuals‚ small business and major companies rely heavily on their computer systems. If the data in these computer systems is damaged‚ lost‚ or stolen‚ it can lead to disaster. Key threats to data security. Such process can be done by using Passwords and encryptions. 2) Explain Internet and Intranet with a basic difference Internet is a worldwide system of interconnected computer networks‚ when you connect your

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    Distinguish between primary data and secondary data? Primary data is the data that is collected first hand from the original source for the purpose of making statistical inference while secondary data is the data that is collected by the method of abstraction and is used to make statistical inference by using primary data already collected by an investigator. Primary data is collected by  Identifying population of interest  choosing sample  analyse sample information  draw inference from

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    5.3.3 Data cleaning Data cleaning helps to remove all unnecessary data. Data cleaning attempts to fill in missing values‚ smooth out noise while identifying outliers and correct inconsistencies in the data. Data cleaning is usually an iterative two-step process consisting of discrepancy detection and data transformation. 5.3.4 Data analysis Data analysis is also known as analysis of data or data analytics‚ is a process of inspecting‚ cleansing‚ transforming and modeling data with the goal of discovering

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    Data Communications Notes

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    Characteristics and quality of data transmission – Dependent on characteristics of medium and signal – Guided medium ∗ Medium is more important in setting transmission parameters – Unguided medium ∗ Bandwidth of the signal produced by transmitting antenna is important in setting transmission parameters ∗ Signal directionality · Lower frequency signals are omnidirectional · Higher frequency signals can be focused in a directional beam • Design of data transmission system – Concerned with data rate and distance

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