iPad 12:15 PM * 100%- ewebwork.clayton.edu ¢+D Chapter 7 Homework - Introductory
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iPad 12:15 PM * 100%- ewebwork.clayton.edu ¢+D Chapter 7 Homework - Introductory Statistics Section o...WeBWorK : M1231-06-SP18 @MAA WeBWorK Logged in as shunt16 MATHEMATICAL ASSOCIATION OF AMERICA Log Out webwork/ m1231-06-sp18 / statchapter071 MAIN MENU Courses Homework Sets StatChapter07: Problem 1 StatChapt Previous Problem Problem List Next Problem Prob User Settings Grades 1 point) The mean height of women in a certain country is 63.4 inches. Suppose we select 25 women from this country at random and the mean of the heights of these 25 women is 63.7 inches. (a) The number 25 is a OA parameter OB. population. OC. statistio. OD. sample. Problem 1 (b) The number 63.7 is a OA. parameter OB. population. Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem7 Problem 8 C. statistic. OD. sample. (c) The number 63.4 is a A. statistic. B. population O C. parameter OD. sample. Note: You can earn partial credit on this problem. Preview My Answers Submit Answers You have attempted this problem 6 times. Your overall recorded score is 67% You have unlimited attempts remaining.Explanation / Answer
Let us go through some basic concepts first:
Population: A set of similar/identical items or events which are of interest for some question or experiment is termed as polulation in statistics.
Sample: It is not always possible (or practically impossible) to study each and every item of population since, it is time-consuming, expensive or sometime impossible. So, we take a small portion from poulation and study it to make conclusions about population. This small portion of items selected is termed as Sample. The sample is considered to be the representative of population.
Parameter: It is any numerical quantity that charecterizes a given population is parameter. So, parameter is basically a charecteristics of population. e.g Mean
Statistic: It is any numerical quantity that charecterizes a sample drawn from given population is statistic. So, statistic is basically a charecteristics of sample. e.g sample mean
Now, considering the above descriptions; we will answer the above questions:
(a) The number 25 is a --- [D. Sample]
(b) The number 63.7 is a --- [C. Statistic]
(c) The number 63.4 is a --- [C. Parameter]
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