Sampling is an important technique in your statistical toolkit. However, it is not always appropriate. You have to know when to use it and when to work with the entire data set. Which of the following is not a good scenario to use sampling? a) You have been given a terabyte of data about your company's IoT device error logs. b) You want to obtain information on the travel habits of all adult citizens of Chile. c) You have finished collecting data in a small study on the size of the wings of 10 butterflies. d) You are working to predict customer churn in a big data project for your marketing company.

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A: Statistical hypothesis testing is an important method in inferential statistics. It is used to test…

Q: What would standard rounding practices tell you to do, when it comes to statistics?

A: Rounding rules in Statistics: The least significant digit stays the same if the first…

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: Discuss the characteristics of the basic descriptive statistics: sample size, mean, and standard…

A: Characteristics of mean: Mean represents all the values of the data. Outliers of the data affects…

Q: Provide a convincing argument why one can’t “lie” with statistics.

A: It is impossible to “lie” with statistics because statistics are based on facts and data.

Q: If you are analyzing statistical data from a range of percentages of participant responses and…

A: If you are analyzing statistical data from a range of percentages of participant responses and…

Q: write a paragraph that discusses: Why is this graphic might be needed for that specific topic Why…

A: Given information: Topic: Job loss by quarter Variables:  1. Time 2. No. Of people

Q: 'hat are the two major types of statistics? Describe them in detail. elect the two major types of…

A: In this case, we need to identify the two major types of statistics.

Q: How can you identify and remedy the following: errors in data entry outliners, and missing data?

A: Errors in data entry: To check the errors in the data entry all of the data must first be completely…

Q: The following questions should be answered in the context of a large survey with which you are…

A: FOR ANY QUERIES PING ME

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A: When the very low proportion of intended participants actually participates in data it leads to a…

Q: What is a scatter diagram, and for what kind of data is it a useful descriptive device?

A: It is needed to explain about the scatter diagram.

Q: What is the difference between the computational formula and the defining formula of a sample…

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

Q: ssume that the national divorce rate is 30% (meaning that 30% of marriages end in divorce).  In…

A: Given problem is : Assume that the national divorce rate is 30% (meaning that 30% of marriages…

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A: (a) The probability that the S&P 500 increased on a randomly selected market day between January…

Q: We have broadly defined statistics to include two major branches: descriptive statistics and…

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Q: In your own words, define statistical thinking.

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Q: Biased statistics can result from a variety of problems during the data collection process. What…

A: Introduction: It is required to identify the suitable term for the given scenario.

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A: The EPA claims the 2008 Nissan Sentra gets 28MPG (city and highway mileage combined). Do these data…

Q: When it comes to statistics, what are variables and operational definitions? What is their purpose…

A: Operational variables usually define and measure a specific variable as it is used in the study.…

Q: Why are identification numbers generally not used in statistics?

A: Identification number is unique ID to represent a unique individual. The Identification numbers are…

Q: The following statement refers to which aspect of a statistical study: "A meteorologist constructs a…

A: The statement  "A meteorologist constructs a graph showing the total precipitation in Phoenix,…

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.