SearchEngine_T7
... • Given the results from a number of queries, how can we conclude that ranking algorithm A is better than algorithm B? • A significance test enables us to reject the null hypothesis (no difference) in favor of the alternative hypothesis (B is better than A) – the power of a test is the probability t ...
... • Given the results from a number of queries, how can we conclude that ranking algorithm A is better than algorithm B? • A significance test enables us to reject the null hypothesis (no difference) in favor of the alternative hypothesis (B is better than A) – the power of a test is the probability t ...
Lecture: Sampling Distributions and Statistical Inference
... Basically these problems will be really easy for us if we understand interval estimation. If we to conduct a two tailed test with level of significance α , then form a confidence interval with confidence level 1 − α . If the interval includes µ0 then the null hypothesis cannot be rejected. If the in ...
... Basically these problems will be really easy for us if we understand interval estimation. If we to conduct a two tailed test with level of significance α , then form a confidence interval with confidence level 1 − α . If the interval includes µ0 then the null hypothesis cannot be rejected. If the in ...
T test and ANOVA examples for filtering genes in microarray
... us to distinguish, to some extent, between differences of intensity measurement due to gene expression differences between normal and mutant mice and those due to other factors such as a slightly defective array chip.] We start with gene 1: We think of the row for gene 1 as consisting of two “sample ...
... us to distinguish, to some extent, between differences of intensity measurement due to gene expression differences between normal and mutant mice and those due to other factors such as a slightly defective array chip.] We start with gene 1: We think of the row for gene 1 as consisting of two “sample ...
Lecture 19 - Statistics
... Results are based on telephone interviews with 1,007 national adults, aged 18+. For results based on the total sample of national adults, the margin of sampling error is ±3 percentage points ...
... Results are based on telephone interviews with 1,007 national adults, aged 18+. For results based on the total sample of national adults, the margin of sampling error is ±3 percentage points ...
Sampling Distributions
... in a typical week ( y =41.9 hours). We could then use this as our exact estimate for the population mean. The problem with this approach is that we don’t know how accurate our estimate is (we haven’t yet considered how much variability there might be in this estimate from sample to sample) and it is ...
... in a typical week ( y =41.9 hours). We could then use this as our exact estimate for the population mean. The problem with this approach is that we don’t know how accurate our estimate is (we haven’t yet considered how much variability there might be in this estimate from sample to sample) and it is ...
Probability and Samples: The Distribution of Sample Means
... • Distribution of sample means tends to be a normal distribution particularly if one of the following is true: – The population from which the sample is drawn is normal. – The number of scores (n) in each sample is relatively large (n>30) ...
... • Distribution of sample means tends to be a normal distribution particularly if one of the following is true: – The population from which the sample is drawn is normal. – The number of scores (n) in each sample is relatively large (n>30) ...
