The nominal level is data that can be put in a category. The Ordinallevel is data that have the right to be put in a category and put in order. The interval level is information that can be put in order and discover distinctions between worths. The ratio level is information that have the right to be put in order, uncover distinctions between worths, and also uncover ratios of worths.Answer: The nominal level is data that can be put in a category. The Ordinallevel is data that deserve to be put in a category and put in order.

You are watching: Select all the levels of measurement for which data can be qualitative.

The statement is false. A true statement is "For information at the interval level, you have the right to calculate systematic differences between data entries."

More forms of calculations have the right to be percreated with data at the nominal level than via information at the interval level.

False. More types of calculations can be perdeveloped through information at the interval level than with data at the nominal level.

The level of measurement of information determines which statistical calculations are meaningful. The four levels of measurement, in order from lowest to highest, are nominal, ordinal, interval and also ratio. The table listed below summarizes what calculations are coherent for each level.Level of MeasurementPlaced data in categoriesArrange information in orderSubtract information valuesDetermine if one data value is a multiple of anotherNominalYesNoNoNoOrdinalYesYesNoNoIntervalYesYesYesNoRatioYesYesYesYesOK

The 4 levels of measurement, in order from lowest to greatest, are nominal, ordinal, interval, and ratio.Documents at the nominal level of measurement are qualitative just. Documents at this level are categorized using names, labels, or features. No mathematical computations deserve to be made at this level.File at the ordinal level of measurement are qualitative or quantitative. Documents at this level have the right to be arranged in order, or ranked, but distinctions between information entries are not meaningful.Documents at the interval level of measurement are quantitative just. Data at this level can be ordered and also distinctions between data entries are systematic, but a zero entry is not an inherent zero.File at the proportion level of measurement are quantitative only. Data at this level are comparable to information at the interval level, with the included home that a zero enattempt is an inherent zero.

Qualitative data consist of features, labels, or nonnumerical entries. Quantitative information consist of numerical dimensions or counts.OK

What is an inherent zero? Describe three examples of data sets that have actually inherent zeros and also three that carry out not.

An innate zero is a zero that suggests none.Maximum wind rate during a hurricaneMedian monthly precipitation in inchesTypical age of college students in years

In an experiment, a treatment is applied to component of a population and also responses are oboffered. The researcher in an experiment deliberately impacts the responses.In an observational study, a researcher steps characteristics of interest of a component of a populace yet does not change existing problems. The researcher in an observational examine does not influence the responses.Next off Question

With a random sample, each individual has the very same possibility of being schosen.With a basic random sample, all samples of the same dimension have actually the very same opportunity of being selected.Answer With a random sample, each individual has the very same chance of being selected. With a simple random sample, all samples of the exact same dimension have the same opportunity of being selected.

Replication is repetition of an experiment under the very same or equivalent problems. Replication is vital because it enhances the validity, or the accuracy and relicapacity, of the outcomes.Next off Question

A placebo is a fake treatment used in experiments. To minimize the possibility of the subjects reacting favorably to a placebo, the subjects will certainly generally be blinded regarding whether they are receiving a genuine treatment or the placebo.Next Question

Blinding is a technique in which the subjects of an experiment do not recognize whether they are receiving a treatment or the placebo. In a double-blind experiment, neither the experimenter nor the topics know if the subjects are receiving a treatment or the placebo. The experimenter is indeveloped after all the data have actually been collected.

A organized sample selects members at consistent intervals from a random starting allude.OKFor stratified samples, members of the populace are separated into two or more subsets, called strata. A sample is then randomly schosen from each of the strata. This ensures that members of each team within the populace will be sampled.Next off Question

A methodical sample is a sample in which each member of the population is assigned a number. The members of the populace are ordered in some means, a beginning number is randomly schosen, and then sample members are selected at continuous intervals from the starting number.Next off Question

What is an benefit of making use of a stem-and-leaf plot instead of a histogram? What is a disadvantage?

In a stem-and-leaf plot, each number is separated right into a stem, such as the entry"s leftmost digits, and a leaf, such as the rightthe majority of digit. Tright here have to be as many type of leaves as there are entries in the original data collection and also the leaves need to be single digits. A stem-and-leaf plot is equivalent to a histogram but has the advantage that the graph still consists of the original information. Another benefit of a stem-and-leaf plot is that it provides a simple means to type information.OKAdvantage: Stem-and-leaf plots contain original data values wbelow histograms perform not. Disadvantage: Histograms quickly organize information of all sizes where stem-and-leaf plots do not.

In a dot plot, each information entry is plotted, utilizing a allude, above a horizontal axis. A stem-and-leaf plot, each number is separated into a stem and a leaf.Both plots can be used to recognize specific data entries.Your answer is correct.B.Both plots present just how data are distributed.Your answer is correct.D.Both plots have the right to be offered to identify unusual data worths.

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How is a Pareto chart different from a standard vertical bar graph?

The bars are positioned in order of decreasing elevation via the tallest bar on the left.

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