The standard deviation of a random variable can be any real value. 

If the median of a data sample is smaller than the mean, the data is skewed positively. 

Your friend claims to be able to prepare a delicious chocolate cake made without any sugar. You are (rightfully) skeptical so you decide to invite other friends to be taste-testers without telling them that the cake is sugar-free (rude, honestly). You agree with your baker friend that the cake can be considered delicious if there is statistical evidence that the population mean score for taste exceeds 8 out of 10 at a significance level of

The 10 data points below refer to the daily number of flu shots given at a clinic at the end of January 2024. 18 27 21 24 15 1 11 17 23 9 What are the sample mean and median, respectively? 

Let X ~ N (4,

The random variables X1, X2,…,Xn form a simple random sample of size n if the Xi’s are independent random variables and at least one x value follows a known probability distribution. 

We want to test the fuel efficiency of a new car. The manufacturer claims the efficiency is 40 mpg. We measure the fuel efficiency of a random sample of 45 of the new cars. The mean mpg is found to be 32.7 and the standard deviation is 15 mpg. We set up a hypothesis test with: 

For the Central Limit Theorem, the larger the value of n, the better the approximation 

The strong law of large numbers tells us that we even with a very large sample size, there is still some probability that

Usted [1] al mediodía, ¿no?