Instruction. Identify the random sampling method used in each item. 1. You are given a list of all graduating students in your school. You decide to survey every tenth name on the list and ask in which organization they belong 2. You wish to make a comparison about the gender differences on Mathematics performance. You divide the population into two groups, male and female, and randomly pick respondents from each of the gender 3. You assign numbers to the members of the population and then use draw lots to obtain your samples. 4. You randomly pick five out of fifteen barangays to where to conduct your survey in your municipality or city. 5. You write the names of each student in pieces of paper, shuffles and then draw eight names.

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Q: 4. Suppose the population size N = 5,000 In 2008 the Better Business Bureau settled 75% of…

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Q: A focus group of 3 students from this class is going to be randomly chosen. In how many ways can the…

A: Students to be chosen = 3 Total number of students in the class  = (6+4+3+1+1+5+8+3+1+1) = 33

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A: Number of posssible samples = 32 = 9

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Q: 2.) A population consists of six values (6, 9, 12, 15, 18, and 21). b. How many possible samples can…

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A: Margin of error =E =0.025 Population proportion p=38%=0.38

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Q: Identify the sampling method being used

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Q: 9) A survey of 1688 American households found that 14% of the households own at least two bicycles.…

A: Solution 9:  A survey of 1688 American households found that 14% of the households own at least two…

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A: i)

Q: The sampline What are the numbers o

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A: Here, In order to choose the winners of free tickets to campus concert, student housing printed out.

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A: Note: As per the guidelines, we are only allowed to solve three subparts, please post the other…

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A: This is an example of random sampling because: all students were considered the selected students…

Q: JEFFERSON'S METHOD Problem Set: Region A B C D E Population 56,056 84,076 112,101 168,152 140,127…

A:

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.