Checking for normality for a random sample. • Suppose that (X 1
... • Example 1. Download the data file http://www3.nccu.edu.tw/~tmhuang/teaching/statistics/data/test.txt and then check the normality for the second column using a normalized histogram. Save the data file ”test.txt” in C:\temp. Use y <- read.table("C:\\temp\\test.txt", sep=",") x <- y[,2] to read the ...
... • Example 1. Download the data file http://www3.nccu.edu.tw/~tmhuang/teaching/statistics/data/test.txt and then check the normality for the second column using a normalized histogram. Save the data file ”test.txt” in C:\temp. Use y <- read.table("C:\\temp\\test.txt", sep=",") x <- y[,2] to read the ...
2012 - math
... interpreting the mean as ”a typical sample”, equivalent to the median, is incorrect. As illustrated in this case, bla-bla-bla may be indicative of data points that belong to a different population than the rest of the sample set. 3. (5 points) Officials of a small transit system with only five buses ...
... interpreting the mean as ”a typical sample”, equivalent to the median, is incorrect. As illustrated in this case, bla-bla-bla may be indicative of data points that belong to a different population than the rest of the sample set. 3. (5 points) Officials of a small transit system with only five buses ...
a) Statistical power
... 2. A(n) ____________________ is based on our sample statistic; it conveys the range of sample statistics we could expect if we conducted repeated hypothesis tests using samples from the same population. a) interval estimate b) point estimate c) coefficient of determination d) estimated standard erro ...
... 2. A(n) ____________________ is based on our sample statistic; it conveys the range of sample statistics we could expect if we conducted repeated hypothesis tests using samples from the same population. a) interval estimate b) point estimate c) coefficient of determination d) estimated standard erro ...
Significance Tests
... Error Types • Probability of a Type I Error: a-Level (significance level) • Probability of a Type II Error: b - depends on the true level of the parameter (in the range of values under Ha ). • For a given sample size, and variability in data, the Type I and Type II error rates are inversely related ...
... Error Types • Probability of a Type I Error: a-Level (significance level) • Probability of a Type II Error: b - depends on the true level of the parameter (in the range of values under Ha ). • For a given sample size, and variability in data, the Type I and Type II error rates are inversely related ...
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
... 11. In a random sample of 500 persons from city X, 200 are found to be consumers of vegetable oil. In another sample of 400 persons from city Y ,200 are found to be consumers of vegetable oil. Discuss whether the data reveal a significant difference between two cities in consumption of vegetable oil ...
... 11. In a random sample of 500 persons from city X, 200 are found to be consumers of vegetable oil. In another sample of 400 persons from city Y ,200 are found to be consumers of vegetable oil. Discuss whether the data reveal a significant difference between two cities in consumption of vegetable oil ...
day13
... • The pooled estimate of the population variance becomes the average of both sample variances, once adjusted for their degrees of freedom. – Multiplying each sample variance by its degrees of freedom ensures that the contribution of each sample variance is proportionate to its degrees of freedom. – ...
... • The pooled estimate of the population variance becomes the average of both sample variances, once adjusted for their degrees of freedom. – Multiplying each sample variance by its degrees of freedom ensures that the contribution of each sample variance is proportionate to its degrees of freedom. – ...
Glossary of Statistical Terms
... Estimates generated from sample data come with a margin of error, but if an observed difference between two sample estimates (e.g. rates for metropolitan Adelaide vs. Country SA) is large enough, then that difference is said to be statistically significantly different. Exactly how large the differen ...
... Estimates generated from sample data come with a margin of error, but if an observed difference between two sample estimates (e.g. rates for metropolitan Adelaide vs. Country SA) is large enough, then that difference is said to be statistically significantly different. Exactly how large the differen ...
Intro_Statistics
... • The method is convenient and close to random sampling if the starting point is ...
... • The method is convenient and close to random sampling if the starting point is ...
Document
... Since degrees of freedom is not known at this stage, the value of t for n → ∞ is used to estimate n. ...
... Since degrees of freedom is not known at this stage, the value of t for n → ∞ is used to estimate n. ...
