1. The probability of A given B is a marginal probability. True or False 2. The...
1. The probability of A given B is a marginal probability.
True or False
2. The purpose of hypothesis testing is to test if we have enough evidence to reject our current belief for a given scenario.
True or False
3. The line of “best fit” will minimize the:
A. Slope
B. Y-intercept
C. Sum of all the residuals
D.Coefficient of correlation
4. 95% of values for a normal distribution are within 1 standard deviation of the mean.
True or False
Homework Answers
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1. The probability of A given B is a marginal probability.
True or False
2. The...
TRUE or FALSE: Identify which of the following are valid statements and which ones are false. i. ...
TRUE or FALSE: Identify which of the following are valid statements and which ones are false. i. T F A ear odel is fit to a data set exhibiting a linear relationship. One of the data points is an outlier with respect to r, ie. its r-value is umisual compared to all other r-values but its y-value falls within the observed range of Y. Removing this data point likely change the estimated sample slope by a considerable amount ii. T...
Determine if the following statements are true or false, and explain your reasoning. If false, state...
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 1. The correlation coefficient is way to determine if one variable causes another...
True or False 1. The correlation coefficient is way to determine if one variable causes another variable to change. 2. A linear model is representation of the linear relationship between two variables. 3. The least squares line, or line of best fit, is the line which minimizes the sum of the individual squares of the residuals. 4. Most linear models do not have any residuals. 5. Regression equations can be used to make predictions. However, the context of the data...
Please explain, I dont really understand 7. True or False? The central limit theorem tells us...
Please explain, I dont really understand
7. True or False? The central limit theorem tells us that as the sample size increases, the sampling distribution of the sample mean approaches an approximately normal distribution REGARDLESS OF the original population data distribution. 8. True or False? Student t-distribution, regardless its degree of freedom, has heavier tails than the standard normal distribution. 9. In a hypothesis test we always assume the hypothesis unless we have sufficient evidence for the hypothesis 10. In...
QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that...
QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that is more extreme than the test statistic, True False
QUESTION 7 Problem 2) True False (2) Type I Error is the probability that you fail...
QUESTION 7 Problem 2) True False (2) Type I Error is the probability that you fail to reject the null hypothesis when it was false. True False
1. In testing hypotheses, the researcher initially assumes that the alternative hypothesis is true and uses the sample d...
1. In testing hypotheses, the researcher initially assumes that the alternative hypothesis is true and uses the sample data to reject it. True False 2. The first step in testing a hypothesis is to establish a true null hypothesis and a false alternative hypothesis. True False 6. The power curve provides the probability of Correctly accepting the null hypothesis Incorrectly accepting the null hypothesis Correctly rejecting the alternative hypothesis Correctly rejecting the null hypothesis 7. Suppose that Ho: μ ≤...
QUESTION 8 Problem 2) True False (3) Type II Error is the probability that you reject...
QUESTION 8 Problem 2) True False (3) Type II Error is the probability that you reject the null hypothesis when it was true. True False
1) The probability in a continuous distribution is the height under the curve. TRUE or FALSE?...
1) The probability in a continuous distribution is the height under the curve. TRUE or FALSE? 2) 99% of the data in a normal distribution lies within 2 standard deviations of the mean. TRUE or FALSE? 3) The sample is generally larger than the population. TRUE or FALSE?
True/False a.. The marginal mortality rate is the probability of a bond or loan defaulting in...
True/False a.. The marginal mortality rate is the probability of a bond or loan defaulting in any given year after it is issued. True False b.. Foreign exchange rate risk occurs because foreign exchange rates are volatile and can impact banks with exposed foreign assets and/or liabilities. True False c.. Exactly matching the maturities of assets and liabilities will provide a perfect hedge against interest rate risk for an FI. True False d.. Many of the various risks faced by...
TRUE or FALSE: Identify which of the following are valid statements and which ones are false. i. T F A ear odel is fit to a data set exhibiting a linear relationship. One of the data points is an outlier with respect to r, ie. its r-value is umisual compared to all other r-values but its y-value falls within the observed range of Y. Removing this data point likely change the estimated sample slope by a considerable amount ii. T...
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 =...
Please explain, I dont really understand
7. True or False? The central limit theorem tells us that as the sample size increases, the sampling distribution of the sample mean approaches an approximately normal distribution REGARDLESS OF the original population data distribution. 8. True or False? Student t-distribution, regardless its degree of freedom, has heavier tails than the standard normal distribution. 9. In a hypothesis test we always assume the hypothesis unless we have sufficient evidence for the hypothesis 10. In...
QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that is more extreme than the test statistic, True False
QUESTION 7 Problem 2) True False (2) Type I Error is the probability that you fail to reject the null hypothesis when it was false. True False
QUESTION 8 Problem 2) True False (3) Type II Error is the probability that you reject the null hypothesis when it was true. True False
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