Table of Contents
Which of the following is true about statistic?
Statistical data should be uniform and homogeneous is correct. It is essential requirement for statistics is that data should be uniform and homogeneous. As statistics involves comparison, heterogeneous data cannot be compared.
Which of the following is not included in the definition of statistics?
Statistics basically deals with the collection,processing,organizing and analysis of data in numerical form. Therefore,the subject matter of Statistics deals with numerical information or concrete numerical data and any verbal or written explanation regarding any study topic is not sufficient in Statistics.
Which of the following defines statistics?
Statistics is the study and manipulation of data, including ways to gather, review, analyze, and draw conclusions from data. The two major areas of statistics are descriptive and inferential statistics.
What is the goal of learning statistics?
What is the goal of learning statistics? To learn to distinguish between statistical conclusions that are likely to be valid and those that are seriously flawed.
Which of the following is correct about statistics *?
The analysis and manipulation of data, including ways to collect, evaluate, interpret, and draw conclusions from data, is statistics. The data to be referred to as statistics must consist of a aggregate of facts.
Which of the following is not a machine learning algorithm?
Which of the following is not a machine learning algorithm? Explanation: SVM stands for scalable vector machine. 5.
Which of the following statements is most accurate when defining percentiles quizlet?
Which of the following statements is most accurate when defining percentiles? Approximately (100 – p)% of the observations are greater than the pth percentile.
What is estimator econometrics?
An “estimator” or “point estimate” is a statistic (that is, a function of the data) that is used to infer the value of an unknown parameter in a statistical model.
What are the three measures of variation?
Above we considered three measures of variation: Range, IQR, and Variance (and its square root counterpart – Standard Deviation).
Which of the following of a random variable is a measure of spread?
So Variance is the random variable is a measure of spread.
Which of the following is not the limitations of statistics?
Statistics are aggregate of facts, a single numerical fact can’t be called statistics. Thus they only deal with groups and not individuals. Statistics only deals with quantitative data it does not deal well with qualitative data beauty, honesty, goodwil etc cant be measured.
Which of the following is not the function of statistics?
The following is not function of statistics is: The correct option is b) Statistics indicate trend behavior.
Which of the following is not a limitation of statistics *?
Out of the given options, the one that is not a limitation of statistics is- 2. Statistics do not study quantitative phenomena.
What are the four types of statistics?
Types of Data in Statistics (4 Types – Nominal, Ordinal, Discrete, Continuous).
What is true mean in statistics?
The true mean refers to the population mean. We often do not have the population mean since it is either impossible to get or prohibitively time consuming and expensive to get. If we are contrasting between “the mean” and “the true mean,” then the mean refers to the sample mean.
What are limitations of statistics?
The important limitations of statistics are: (1) Statistics laws are true on average. Statistics are aggregates of facts, so a single observation is not a statistic. Statistics deal with groups and aggregates only. 2) Statistical methods are best applicable to quantitative data.
Which of the following is not a measure of the center?
Standard deviation is not a measure of Central tendency.
What are three important reasons for studying statistics?
To summarize, the five reasons to study statistics are to be able to effectively conduct research, to be able to read and evaluate journal articles, to further develop critical thinking and analytic skills, to act a an informed consumer, and to know when you need to hire outside statistical help.
What is an example of an statistic?
A statistic is a number that represents a property of the sample. For example, if we consider one math class to be a sample of the population of all math classes, then the average number of points earned by students in that one math class at the end of the term is an example of a statistic.
Which of the following are parts of statistics?
Statistics involve collecting, presenting, analyzing, and interpreting numerical data.
Which of the following is a characteristic of statistics?
Characteristics of Statistics It has an aggregate of facts. Data are collected in systematic order. It should be comparable to each other. Data are collected for a planned purpose.
Which of the following is a material for statistics?
Which characteristic of the following is not belonging to, ‘statistics as amethod’? Q. Which among the following is a material for statistics? B. poverty C. wisdom D. numerical data Answer» d. numerical data.
Which of the following is NOT type of learning?
Vocational truth is not a type of Learning. Vocational truth can be refeerred as education that prepares people to work as a technician or in various jobs such as a trade or a craft.
Which of the following is not a category of machine learning?
Unsurprised is not a category of machine learning algorithm.
Which of the following is not an application of data science?
The correct answer to the question “Which of the following is not an application for Data Science” is option (d). Privacy Checker.
Which of the following is not sensitive to extreme value?
Median is the middle most value of a given series that represents the whole class of the series.So since it is a positional average, it is calculated by observation of a series and not through the extreme values of the series which. Therefore, median is not affected by the extreme values of a series.
Which of the following is true about the empirical rule?
The Empirical Rule states that 99.7% of data observed following a normal distribution lies within 3 standard deviations of the mean. Under this rule, 68% of the data falls within one standard deviation, 95% percent within two standard deviations, and 99.7% within three standard deviations from the mean.
Which of the following statements about variance is most accurate variance?
The correct answer to the given question is option d) is the average of the squared deviations from the mean.