Please identify the correct statements in the set below: Pie charts are attractive to statisticians, but are rarely used in business or general media. Log scales are common because most people are familiar with them. Except for the Y-axis scaling, a histogram will look the same if we use relative frequencies instead raw frequencies (with the same bin limits). A Likert scale with an even number of scale points between "Strongly Agree" and "Strongly Disagree" is intended to prevent "neutral" choices. Line charts are not used for time-series data. The number of FedEx shipping centers in each of 50 cities would be ordinal level data. Statistics helps surmount language barriers to solve problems in multinational businesses. Judgment sampling and convenience sampling are random sampling techniques. Ordinal data can be treated as if it were nominal data but not vice versa. This year, Oxnard University produced two football All-Americans. This is an example of continuous data. The number of words on 50 randomly chosen textbook pages would be cross-sectional data. Inconsistent treatment of data by a researcher is a symptom of poor survey or research design. Internet surveys posted on popular websites suffer from nonresponse bias. Nominal data are categorical Creating a list of people by taking the third name listed on every 10th page of the phone book is an Internet surveys posted on popular websites suffer from nonresponse bias. Nominal data are categorical. Creating a list of people by taking the third name listed on every 10th page of the phone book is an example of convenience sampling. A worker collecting data from every other shopper who leaves a store is taking a simple random sample of customer opinion. Running times for 3,000 runners in a 5krace would be a multivariate data set. Ratio data are distinguished from interval data by the absence of a zero reference point It is easier to read the data values on a 3D column chart than on a 2D column chart. The zero origin rule may be waived for column or line charts if the objective is merely to visualize relative change over time. By taking a systematic sample, in which we select every 50th shopper arriving at a specific store, we are approximating a random sample of shoppers. Temperature measured in degrees Fahrenheit is an example of interval data. Nominal data refer to data that can be ordered in a natural way. Stacked dot plots are useful in understanding the association between two paired quantitative variables (X, Y). Running times in order of completion for 500 runners in a 5krace would be a univariate data set. In business communication a table of numbers is preferred to a graph because it is more able to convey meaning The weight of a bag of dog food is an example of discrete date. are approating araraommr stoppers. Temperature measured in degrees Fahrenheit is an example of interval data. Nominal data refer to data that can be ordered in a natural way. Stacked dot plots are useful in understanding the association between two paired quantitative variables (X,Y). Running times in order of completion for 500 runners in a 5k race would be a univariate data set. In business communication, a table of numbers is preferred to a graph because it is more able to convey meaning The weight of a bag of dog food is an example of discrete data. The Pareto chart is used to emphasize all causes of problems. Telephone surveys often have a low response rate and fail to reach the desired population. It is better to attempt a census of a large population instead of relying on a sample. Empirical data are collected through observations and/or experiments. Mail surveys are attractive because of their high response rates. Compared to a dot plot, we lose some detail when we present data in a frequency distribution. The post hoc fallacy says that when B follows Athen A is caused by B. It is possible to construct a histogram or frequency polygon with open-ended classes. Statistical data analysis can often distinguish between real versus perceived ethical issues. A strong correlation between A and B would imply that is caused by A. If you randomly sample 50 students about the favorite places to the data collected would be The Pareto chart is used to emphasize all causes of problems. Telephone surveys often have a low response rate and fail to reach the desired population. It is better to attempt a census of a large population instead of relying on a sample. Empirical data are collected through observations and/or experiments. Mail surveys are attractive because of their high response rates. Compared to a dot plot, we lose some detail when we present data in a frequency distribution. The post hoc fallacy says that when B follows A then A is caused by B. It is possible to construct a histogram or frequency polygon with open-ended classes. Statistical data analysis can often distinguish between real versus perceived ethical issues. A strong correlation between A and B would imply that is caused by A. If you randomly sample 50 students about their favorite places to eat, the data collected would be referred to as cross-sectional data. The type of statistical test that we can perform is independent of the level of measurement of the variable of interest. An advantage of judgment sampling is that the sample may not reflect the population. Estimating parameters and testing hypotheses are important aspects of descriptive statistics. Sampling error is avoidable by choosing the sample scientifically, Private statistical databasesteg. CRSP) are usually free interential statistics refers to generalizing from a sample to a population estimating unknown parameters, drawing conclusions, and making decisions referred to as cross-sectional data. The type of statistical test that we can perform is independent of the level of measurement of the variable of interest. An advantage of judgment sampling is that the sample may not reflect the population. Estimating parameters and testing hypotheses are important aspects of descriptive statistics. Sampling error is avoidable by choosing the sample scientifically. Private statistical databases (e.g., CRSP) are usually free. Inferential statistics refers to generalizing from a sample to a population, estimating unknown parameters, drawing conclusions, and making decisions. Dot plots may not reveal the shape of a distribution when the sample is small. When a statistician omits data contrary to her findings in a study, she is justified as long as the sample supports her objective. Surveying electric vehicle owners would provide a representative random sample of Americans views on global warming policies. Statistics is one of several disciplines that make up the field known as Analytics. The daily closing price of Apple stock over the past month would be cross-sectional. Sturges' Rule is merely a suggestion, not an ironclad requirement. The number of checks processed at a bank in a day is an example of categorical data. In last year's annual report. Thompson Distributors indicated that it had 12 regional warehouses. This is an example of ordinat level data Discovery analyties focuses on the question "Why did it happen: Surveying electric vehicle owners would provide a representative random sample of Americans' views on global warming policies. Statistics is one of several disciplines that make up the field known as Analytics. The daily closing price of Apple stock over the past month would be cross-sectional.. Sturges' Rule is merely a suggestion, not an ironclad requirement. The number of checks processed at a bank in a day is an example of categorical data. In last year's annual report, Thompson Distributors indicated that it had 12 regional warehouses. This is an example of ordinal level data. Discovery analytics focuses on the question "Why did it happen?" Multiple pie charts are generally preferred to a plain 2D column chart. Numerical data can be discretely continuous. Statistics is an essential part of critical thinking because it allows us to transform the empirical evidence from a sample so it will agree with our preferred conclusions. O When the population is large, a sample estimate is usually preferable to a census. The line chart is appropriate for categorical (qualitative) data. Predicting a presidential candidate's percentage of the statewide vote from a sample of 800 voters would be an example of inferential statistics. Your weight recorded at your annual physical would not be ratio data, because you cannot have zero weight. A scatter plot is useful in visualizing trends over time. An advantage of a systematic sample is that no listof enumerated data items is required. Multiple pie charts are generally preferred to a plain 2D column chart. Numerical data can be discretely continuous. Statistics is an essential part of critical thinking because it allows us to transform the empiri evidence from a sample so it will agree with our preferred conclusions. When the population is large, a sample estimate is usually preferable to a census. The line chart is appropriate for categorical (qualitative) data. Predicting a presidential candidate's percentage of the statewide vote from a sample of 80C would be an example of inferential statistics. Your weight recorded at your annual physical would not be ratio data, because you cannoth zero weight A scatter plot is useful in visualizing trends over time. An advantage of a systematic sample is that no list of enumerated data items is required. The Statistical Abstract of the United States is a huge annual compendium of data for the Ur States, and it is available online free of charge. Internet surveys posted on popular websites have no bias since anyone can reply