26. Which of the following is not the goal of descriptive statistics? a summariz
ID: 3275607 • Letter: 2
Question
26. Which of the following is not the goal of descriptive statistics? a summarizing data b. displaying aspects of the collected data c reporting numerical findings d. estimating characteristics of the population based on a sample e.none of these 27 You asked ten of your classmates about their weight. On the basis of this information, you stated that the average weight of all students in your university or college is 158 pounds. This Is an example of a. descriptive statistics b. Population c.sample d. statistical inference e. sample and population 28. In a sample of 1000 students in a university, 12S of them or 12.5% are biology majors. The 12S% is an example of descriptive statistics a. True b. False 29. Twenty-five percent of a sample of 200 professional tennis players indicated that their parents did not play tennis. This is an example of descriptive statistics as opposed to inferential statistics a. True b. False 30. A local cable system using a sample of 1000 subscribers estimates that fifty percent of its subscribers watch premium channel at least five times per week. This is an example of descriptive statistics as opposed to inferential statistics. a. True b. False 31. The sum of relative frequencies found in a relative frequency distribution for quantitative data necessarily equals a).0 b). 100 c).1.00 d. n, the number observations in the data set e), the number of collectively exhaustive and mutually exclusive class in a frequency distribution 32. Which of the following best describes a relative class frequency? a) it is the number of observations that falls into a given class in a frequency distribution. b). It is the proportion of all observations that falls into a given class in a frequency distribution. c). It is the difference between the numerical lower and upper limit of a class of quantitative data. d). It is the number of observations that falls into the smallest class in a frequency distribution. 33. The best-fitting regression line can be used to: 33. One of the differences between a histogram and bar chart is: a). that the bar chart does have gaps between the bars and the histogram does not b). that the histogram is used to display the distribution of quantitative data and the bar chart is used to display qualitative data c. that the width of the bars is the same in both the histogram and the bar chartExplanation / Answer
Question 26:
Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. Estimating characteristics of the population from the sample is the correct answer here because that does not come under descriptive statistics.
Question 27:
Statistical inference is the theory, methods, and practice of forming judgements about the parameters of a population and the reliability of statistical relationships, typically on the basis of random sampling. Here we are trying to estimate the population mean from the sample mean.
Question 28:
True because here we are just summarizing a particual statistic from the sample ( like summarizing the data )
Question 29:
True because here we are just summarizing a particual statistic from the sample ( like summarizing the data )
Question 30:
False because here an inference is made for the population from the given sample
Question 31:
The relative frequency for each of the class is computed by dividing the frequency with the total frequency. Therefore the sum of all relative frequencies is always equal to 1 or 100%.
Therefore 1 is the correct answer here.
Question 32:
Relative class frequency is clearly the proportion of all observations that falls into a given class in a frequency distribution.
Therefore b is the correct answer here.
Question 33:
There is a gap in bar charts between bars but not in histogram
Therefore a is the correct answer here.
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