For example‚ age could be the variable‚ and after stratification‚ the sample might include equal numbers of subjects in the established age ranges of 20–39‚ 40–59‚ 60–79‚ and over 80. Researchers use cluster sampling in two different situations: (1) when the time and travel necessary to use simple random sampling would be prohibitive‚ and (2) when the specific elements of a population are
Premium Sampling Stratified sampling Sample size
for your region is greater than that in the study µ A > 3.16 Find the t-test statistic: t=(x(bar) - µ 0 )/(s/sqrt(n)) t = (3.1948 – 3.16)/(0.0889/sqrt(25)) t = 1.957255343 Find the P-value: P = 0.03102312 Write a conclusion in context. Since we are using a 1% level of significance‚ the -level is 0.01. Since P> 0.01‚ we can not reject the null hypothesis. In context: We do not have evidence at the 1% level (P = 0.03102312) that the mean regular unleaded gas prices for our region
Premium Statistics Normal distribution Statistical hypothesis testing
ethics in statistics that need to be followed by a researcher so that only the truth is reported and there is no misrepresentation of the data. Конец формы There are a number of possible ways in which unethical behavior can arise in statistics and researchers should steer clear of these. It is relatively simple to manipulate and hide data‚ projecting only what one desires and not what the numbers actually speak‚ thus giving birth to the famous phrase "Lies‚ damned lies and statistics". However
Premium Statistics Data Truth
Inferential Statistics and Findings Erick Mart QNT/561 August 25th 2014 Mario LOPEZ Inferential Statistics and Findings Inferential Statistic is the process of drawing conclusions from data that are subject to random variation‚ for example‚ observational errors or sampling variation. Our team uses inferential statistic to compare two groups‚ which are Melks and DHL. This paper outlines the sampling and data collection procedure used to test the null hypothesis. The null and alternate hypotheses
Premium Statistical hypothesis testing Statistical inference Standard deviation
Descriptive Statistics Paper Descriptive Statistics Paper In research‚ the need to accurately produce results is imperative to efficient research. Team C’s hypothesis of what generates champion teams needs many tools provided in research to achieve a true answer. Team C has further simplified the meaning of champion team to any team whose team dynamics cause the team to have a winning season. With that being said‚ this paper will be focused on the research tools needed and the results
Premium Standard deviation Mode Median
Marketing! January 29th‚ 2013 Review for Numerical Quiz 1 Formulas: 1. Percentage Change: •Change = (New Value - Old Value) / (Old Value) •Example: Sales grew from $30 billion to $31 billion. •($31 - $30) / $30 = 3.3% Change 2. New Value: •New Value = (Old Value) X (1+Percentage Change / 100) •Example: Sales in 2012 were $320‚000. Expecting sales to grow 18% •($320‚000) X (1.18) = $377‚ 600 3. Old Value: •Old Value = (New Value) / (1+Percentage Change / 100) •Example: 2013 market size
Premium Generally Accepted Accounting Principles Marketing Revenue
SUBJECT: BUSINESS STATISTICS COURSE CODE: MC-106 LESSON: 01 AUTHOR: SURINDER KUNDU VETTER: DR. B. S. BODLA AN INTRODUCTION TO BUSINESS STATISTICS OBJECTIVE: The aim of the present lesson is to enable the students to understand the meaning‚ definition‚ nature‚ importance and limitations of statistics. “A knowledge of statistics is like a knowledge of foreign language of algebra; it may prove of use at any time under any circumstance”……………………………………...Bowley. STRUCTURE: 1.1 1.2 1.3
Premium Arithmetic mean Average
MAT 308 Name:___________________________ Chp 1-2 Test 100 points In order to receive full credit‚ please show all work for every problem. You are welcome to use your calculator‚ book and notes‚ but please take this test on your own. 1. In your own words‚ explain what parameters and statistics are and what the difference is between them. Give an example to clarify. (10 points) 2. According to Consumer Reports‚ a random sample of 35 new cars gave an average of 21.1 mpg
Premium Frequency distribution Scientific method Frequency
67*10-11) = 2.35*1041kg M4 = (2200002*15000*3.09*1016)/(6.67*10-11) = 3.36*1041kg M5 = (2220002*20000*3.09*1016)/(6.67*10-11) = 4.57*1041kg M6 = (2230002*25000*3.09*1016)/(6.67*10-11) = 5.76*1041kg b)Six plots (logR‚ logM) (0.3‚ 40.6); (0.7‚ 41); (1‚ 41.4); (1.2‚ 41.5); (1.3‚ 41.7); (1.4‚41.8) c) logMR = (3-α) logR+k 3-α = (41.8 - 40.6)/(1.4-0.3) 3-α = 1.1 α = 1.9 2. Larger galaxy: v = H0d d = v/H0 = 5000/71 = 70.4 Mpc = 70.4 * 3.09 * 1022m = 2.18 * 1024 m 34 arcminutes = pi/10800
Premium
QUANTITATIVE SCIENCES GROUP ASSIGNMENT SQQS1013 ELEMENTARY STATISTICS 2nd SEMESTER SESSION 2012/2013 INSTRUCTIONS: 1. Five (5) persons in a group. 2. Answer ALL questions and show all your calculations clearly. 3. Report must be typewritten using A4 paper. 4. Every question and answers must be written on a new page. 5. The front cover for the report is as in Appendix 1. 6. Total marks: 90. 7. Evaluation of
Premium Random variable Normal distribution Cumulative distribution function