1. State the reasons why sampling is used in the context of research studies. (1 page answer)

Q: Evaluation: Give at least 2 worded problems on computing sample mean and population mean when the…

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Q: Explain the term variable and its different types.and research design ,population,sample size…

A: Variable: A variable is an attribute or the characteristic that can be measured. The value of the…

Q: 2c) What is research hypotesis? -what is primer data and secondary data? -what is the differences…

A: Research is "creative and systematic work undertaken to increase the stock of knowledge.

Q: What is the difference between population mean and sample mean? In what cases do the population mean…

A: Understanding the concept of population and sample mean is critical to statistical inferential…

Q: Discuss the similarities and differences between observational studies, surveys, and experiments.…

A: Survey are simplest form of collecting information for randomly selected peoples.For example 20…

Q: rue or False. It is important for researchers to account for the loss of participants during…

A: When estimating sample size, it is not important for researchers to account for attrition or loss…

Q: List two ways that you can improve statistical power.

A: Methods to increase statistical power:-   1. use a large sample- if we use  larger sample then it…

Q: 2. What are the differences between qualitative and quantitative data analysis?

A: Difference between qualitative and quantitative data analysis

Q: TRUE or FALSE: Cross-tabulation is a display of data that compares the responses to two different…

A: Survey is a method of data collection.

Q: Does the sample size ? affect the mean of all possible sample means? Explain your answer.

A: According to central limit theorem, for large sample (>30) or if the population follows normal…

Q: Applying the law of large numbers, which sample mean would expect to be closer to the population…

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Q: What do you think is the reason, why researchers prefer to get a sample from the total population…

A: A researcher can carefully design the study which to a large extent try to prevent the biases and…

Q: Population Sample Variable Data Experiment Parameter Statistic

A: Population: Population is the set of all values in the set of data. Population is collected by…

Q: Mention some of the factors that affect choosing a sample over a population when conducting a…

A: It is an important part of statistics. It is widely used.

Q: 1. Statistical Literacy Explain the difference between a stratified sample and acluster sample.

A: Stratified sampling:   In the stratified sampling, the units in the population are divided into…

Q: 23,910 Using past years' data, the population standard deviation can be assumed known with a =…

A: sample size n=55 mean : x¯=105050055=19100 standard deviation ; σ=3027

Q: What do you understand by the terms “population” and “sample”? What are population parameters, and…

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Q: Specify a large population that you might want to study and describe the type of numeric measurement…

A: The population is a whole group of individuals that are being studied and outliers are the values…

Q: Write down the characteristics of statistics?

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Q: 5. Give two reason why we sample in research?

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Q: How can you make your sampling method more reliable? (English Translation: List a way you could make…

A: Introduction: Sampling is done in practical life instead of a population census, in most of the…

Q: What would be two issues in making a direct comparison on the statistics of each variable? Using…

A: Introduction - Minitab - It is an application software for studying statistical tools and applying…

Q: (c) If the sample size is n= 9, what is likely true about the shape of the population? O A. The…

A: Given: Standard error(σx¯)=6.67Sample size(n)=9

Q: Interpret calculator display: In a recent poll, people were asked whether they supported an increase…

A: Given

Q: In a study of smokers who tried to quit smoking with nicotine patch therapy, 39 were smoking one…

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Q: State TWO (2) reasons why you would undertake sampling rather than a census for the proposed study

A: Sampling could be more accurate than census for the proposed study . The reasons for this are as…

Q: ? Question Based on survey results, the proportion of U.S. adults who use the Internet on a daily…

A: The objective of the question is to identify which sample would provide the most accurate and…

Q: Discuss about population and sample using examples

A: The Aggregate of units or group of units possessing particular characteristic under the…

Q: Instructions: Every item is composed of two statements about RESEARCH. Read and analyze the…

A: Given Information: Consider the given two statements related to the research.

Q: How might an extreme value in the sample data set affect the value of the median? (A) An extreme…

A: From the given information,

Q: analyze all problems using spss or r. results sections must be typed. pay particular attention to…

A: This study examines the effects of a dental film on the frequency with which children brush their…

Q: If we took three different samples of college students (one from California, one from Arizona, and…

A: The samples are derived of 500 students from three cities, city C, city AR and city AL.

Q: How do you write a research questionnaire?

A: The objective is to write the steps in a research hypothesis.

Q: To assess the quality of recent research, which of the following question can be asked?

A: Need to check the quality of the research. Time and money are the factors which are important in…

Q: What is the relationship between error in results and sample size? (explain)

A: Formula to calculate error :  Error = Z*(standard deviation/√n)  n = (Z*standard deviation/Error)2

Q: 61. Design (4.2) Was this an observational study or an experiment? Justify your answer.

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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.