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What is Descriptive Statistics?
Descriptive Statistics is a branch of statistics that summarizes and organizes data in a meaningful way. It involves measures such as mean, median, mode, standard deviation, and variance to describe data characteristics. Graphical representations like charts, histograms, and tables help visualize patterns and distributions. Descriptive statistics is essential for understanding datasets before applying further statistical analysis or decision-making.

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Here is a list of Statistical Techniques for Data Analysis: 1. Descriptive Statistical Analysis 2. Inferential Statistical Analysis 3. Predictive Analysis 4. Prescriptive Analysis 5. Exploratory Data Analysis (EDA) 6. Causal Analysis 7. Mechanistic Analysis
Once you are through with the research, you need to examine and evaluate the data or better look for experts in statistics for hire to enable you to have suitable information. Data Analysis Help have reliable team of statistics experts will be able to meet those expectations by choosing the most appropriate statistical software for that.
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Briefly describe the data at hand by giving descriptive statistics to help us appreciate the nature of the sample at hand
Submit your answers using Microsoft word document only. A researcher believes that study mode (regular and sandwich) and age may have a relationship with student performance in a test. To test the above hypotheses, you are provided with data in the following table pertaining to a sample of 30 students selected at random from a particular class, and categorized by study mode, age and marks in a certain paper last semester. Table. Study mode, age and corresponding scores in a certain paper for a sample of 25 students Student Study Mode = Regular = Sandwich Age in years Percentage score 1 R 39 56 2 R 37 63 3 S 47 66 4 R 31 70 5 S 50 50 6 S 26 74 7 S 32 69 8 S 33 41 9 S 42 62 10 R 43 68 11 R 69 70 12 R 45 78 13 R 44 68 14 R 32 77 15 R 26 80 16 R 36 80 17 S 35 65 18 S 35 60 19 S 40 68 20 S 50 58 21 R 50 55 22 S 36 54 23 R 48 40 24 S 49 45 25 R 50 43 26 R 56 60 27 S 50 80 28 S 50 80 29 S 35 58 30 R 35 58 You are to analyze the data from the above table using SPSS and answer the following questions. 1. Briefly describe the data at hand by giving descriptive statistics to help us appreciate the nature of the sample at hand, as follows. 1.1 Respondents by study mode Study mode being a categorical variable, generate a frequency table, Bar chart and accompanying relative frequencies and interpret them 15 Marks 1.2. Respondents by age Age being numerical variable, computer its mean, standard deviation and generate histogram, interpret them. 15 Marks 1.3 Respondents by academic performance and Age Academic performance and age being numerical variables, computer their means,standard deviation and generate line graph, scatter plot and interpret them. 15 Marks 1. Briefly describe the data at hand by giving inferential statistics to help us appreciate the nature of the sample at hand as follows 1.1 AgeAnd Academic Performance State the pertinent study objective, and hypothesis. Then point out which statisticaltechnique will test such a hypothesis, with reasons for your choice. Go ahead to use systematically use the technique, and interpret your result 15 Marks
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