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  • How to resolve the ambiguity in the Boy or Girl paradox?
    There's no paradox here, just ambiguity We're giving a vague description of a "real life" situation, and you're supposed to turn that into a well defined probability space in which to express events and their probabilities This is often hard or impossible to do, with the only possible conclusion being "some assumptions are missing" In this "boy and girl" problem, there is additional
  • probability - What is the expected number of children until having the . . .
    A couple decides to keep having children until they have the same number of boys and girls, and then stop Assume they never have twins, that the "trials" are independent with probability 1 2 of a boy, and that they are fertile enough to keep producing children indefinitely
  • what is the difference between a two-sample t-test and a paired t-test
    When you use a paired T-test, you are essentially doing a one-sample test, where your one sample consists of the paired differences between outcomes in two groups If you create a new sample of these difference values and then apply the formula for a one-sample T-test, you will see that this is equivalent to the paired test
  • Ideal BandPass Filter - Signal Processing Stack Exchange
    Let suppose x (t)= ∑ k=−∞∞ R(t − kT) ∑ k = − ∞ ∞ R (t − k T) R(t) = {1 0 [0, 2T] otherwise R (t) = {1 [0, 2 T] 0 otherwise x (t) is the input to an ideal bandpass filter with BandWidth = 1 (2T) BandWidth = 1 (2 T) and Center Frequency = L (T) Center Frequency = L (T) How can i find the output y (t) any help will be appreciated
  • Building a linear model for a ratio vs. percentage?
    Suppose I want to build a model to predict some kind of ratio or percentage For example, let's say I want to predict the number of boys vs girls who will attend a party, and features of the party
  • Interpretation of Shapiro-Wilk test - Cross Validated
    Considering that you are pretty new to statistics, I suspect that you are thinking about this because these are residuals of an estimate of a mean and you want to know whether the assumption of normality is valid for confidence estimates using a t t -distribution t t -tests are quite robust to violations of this assumption, the data look vaguely normal in Henry's q-q plot, and the Shapiro
  • ANOVA vs. T-test for two groups - Cross Validated
    Usually, we use ANOVA if there are more than two groups But you also can use ANOVA with two groups, as you describe In that case ANOVA will result in the same conclusion as an Student's t test, where See this R code: # Makes example reproducible set seed(1) # define sample size n <- 100 # generate a group group <- sample(0:1, n, replace= TRUE) # generate a dependent variable that varies
  • hypothesis testing - Choosing between a MANOVA and a series of t-tests . . .
    Whereas, the t test is appropriate test of difference between the means of two groups at a time (e g , boys and girls) It is also possible to compute a series of t tests, one for each pair of means
  • What does 1x1 convolution mean in a neural network?
    I am currently doing the Udacity Deep Learning Tutorial In Lesson 3, they talk about a 1x1 convolution This 1x1 convolution is used in Google Inception Module I'm having trouble understanding wh





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