For each of the following statements, are they true or false? a. (1) The covariance and...
True or false:1. The correlation coefficient and the covariance of two variables can have different signs. (True or False)2. Graphical analysis is a useful tool that allows the researcher to have an idea of the distribution of a data series. (True or False)3. A large data samples are usually normally distributed. (True or False)4. The standard deviation is always smaller than the variance. (True or False)
of the following statements, two are true and three are false. Which ones are true? A very small p-value is indicative of very strong evidence against the null hypothesis. A very large p-value is indicative of very strong evidence against the null hypothesis. If a null hypotheis is rejected at the 5% significance level, it would also be rejected at the 10% significance level. A very large p-value is indicative of very strong evidence against the alternative hypothesis. A very...
2. (2 True-False. Just say whether each statement is True or False – no need to justify your answer. 1. If the number of trials in the binomial distribution increases by 1 (and P equals .50), the probability of getting either of the most extreme possible outcomes (that is, 0 or N) is cut in half. 2. If the number of trials in the binomial distribution increases by 1 (and P does not equal .50), the probability of getting either of...
Economics- Probability and stats 1. Find the value of the 75th percentile of the following array: 5,10,43,9,8,6,2,5 A) 8 B) 9 C) 9.5 D) 8.5 2. Two independent events, A and B, where the P(B) is 0.44 and the probability that A does not occur or B occurs is 0.74. What is the probability that event A occurs? A) 0.3 B) 0.54 C) 0.46 D) 0.28 3. Which of the following is FALSE? A) B) A sampling distribution is a...
Determine if the following statements are true or false, and explain your reasoning. If false, state how it could be corrected. (a) If a given value (for example, the null hypothesized value of a parameter) is within a 95% confidence interval, it will also be within a 99% confidence interval. O true false (b) Decreasing the significance level (a) will increase the probability of making a Type 1 Error. false O true (c) Suppose the null hypothesis is u =...
True or False: Fr questions 1-7, write either T" for True or"F" for False in the margin, next to each question number. Each question is worth 1.5 pts. let 1) The shape of the sampling distribution of X gets closer to the shape of the population 2) A result that is significant at the 0.01 significance level is always significant at the 0.05 3) We reject the null hypothesis whenever P-value <a distribution as n gets large. significance level. 4)...
1. (+1 each) State whether each of the following is always true (T) or not always true (a) If X1, X,X are drawn from the same population distribution, then X is ,Xn are not an unbiased estimator of the population mean μ, even if X1, X2, independent (b) Increasing the level a of a hypothesis test decreases the probability of rejecting the nul hypothesis. (c) A null hypothesis with a p-value of 0.02 is rejected at the 0.01 level. (e)...
Need help with stats true or false questions Decide (with short explanations) whether the following statements are true or false a) We consider the model y-Ao +A(z) +E. Let (-0.01, 1.5) be a 95% confidence interval for A In this case, a t-test with significance level 1% rejects the null hypothesis Ho : A-0 against a two sided alternative. b) Complicated models with a lot of parameters are better for prediction then simple models with just a few parameters c)...
Part I: Determine whether each of the following statements is TRUE or FALSE, and write a short explanation for your answer The mean and median are always equal to each other and can never be different. The median and mode must always be equal and can never be different. The expected value of a random variable is a weighted average of outcomes, where each outcome is weighted by its probability of occurrence. Regressions are used to estimate the relationship between...
Respond True or False to each of these statements. The total area under the normal distribution is equal to 1. As the sample size increases, the distribution of the sample statistics becomes more consistent. Sampling variability refer to a variability of parameters. A sampling distribution describes a distribution of sample statistics. All variables that are approximately normally distributed can be transformed to standard z-scores. The z-value corresponding to a datum below the mean is always negative. The area under the...