The process of using sample statistics to draw conclusions about true population

Question

The process of using sample statistics to draw conclusions about true population parameters is called Statistical inference The scientific method Sampling Descriptive statistics. Which of the following statistics is not a measure of central tendency? Arithmetic mean Median Mode Q3 The smaller the spread of scores around the arithmetic mean, The smaller the interquartile range The smaller the standard deviation The smaller the variance All of the above. Which of the following is sensitive to extreme values? Median Interquartile range Arithmetic mean 1^st quartile True/False A population with 200 elements has an arithmetic mean of 10. From this information, it can be shown that the population standard deviation is 15. True/False In a sample of size 40, the sample mean is 15. In this case, the sum of all observations in the sample is sigma X_i = 600 Topics to understand: Samples versus populations and the relationship between them types of data descriptive versus inferential statistics the characteristics of measures of location and variation

Explanation / Answer

5) statistical inference

6) Q3 (third quartile)

7) all the above

Since all three options are deals with spread only

8) Arithmetic mean is very sensitive towards extreme values

14) False. we can not say with this data

15) yes

mean=(sum/number of observations)

15 =sum/40

sum=600

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