QUESTION 1
The sample size is not one of the causes of committing an statistical error.
True
False
QUESTION 2
If the alternative hypothesis has a mathematical sign of above (>) and the experimental Z value is +2.52 then the p – value is 0.994132.
True
False
QUESTION 1 The sample size is not one of the causes of committing an statistical error....
QUESTION 3 If the alternative hypothesis has a mathematical sign of not equal (≠) and the experimental Z value is +3.0 then the p – value is 0.0027. True False QUESTION 4 When the mean is 52, the sample size is 25, and the standard deviation is 2, the probability of committing Type II error when P( 50 < < 54) is one (1). True False
QUESTION 5
The power of the statistical test is zero (0) when the mean is
52, the sample size is 25, and the standard deviation is 2, and the
probability of committing Type II error when P is one (1) (previous
problem).
True
False
5 5
QUESTION 4 When the mean is 52, the sample size is 25, and the standard deviation is 2, the probability of committing Type II error when P( 50 < < 54) is one (1). True False
State whether the following statements true or false, and Why? 1. The type I error and type II error are related. A decrease in the probability of one generally results in an increase in the probability of the other. 2. The size of the critical region, and therefore the probability of committing a type I error, can always be reduced by adjusting the critical value(s). 3. An increase in the sample size n will reduce α and β simultaneously. 4....
Question 21 (4 points) For a hypothesis test about a population proportion or mean, if the level of significance is less than the p- value, the null hypothesis is rejected. (Ch10) True False Question 22 (4 points) Everything else being constant, increasing the sample size decreases the probability of committing a Type II error. (Ch10) True False The power of a statistical test is the probability of not rejecting the null hypothesis when it is true. (Ch10) True False Question...
12 0 89 10 11 12 13 14 15 16 QUESTION 2 Increasing the sample size a. Increases the power of the statistical test Ob. increases the degrees of freedom OC. changes the critical t value to determine significance O d. all of the above QUESTION 3 It is impossible to find a large effect size if your t-test results are not significant. True False QUESTION 4 P = .032 means there is a 3.2% chance the mean differences are...
QUESTION 1 1. The sample variance or the sample standard deviation are good approximate of the population variance or standard deviation? True or False QUESTION 2 1. The Central limit theorem states that the individual results or when n is 1 in an experiment that unique outcome follow a Normal Distribution? True or False QUESTION 3 1. In hypothesis testing alpha is the probability of being judged correct? True or False QUESTION 4 1. If the critical Z is ±...
1. A ___________ is a statistical interval around a point estimate that we can provide a level of confidence to for capturing the true population parameter. population parameter confidence level point estimate confidence interval standard error of the mean 2. Which of the following best describe the standard error of the mean? It is the difference between an observed sample mean and the true population mean It is the statistical interval that provides a level of confidence around an observed...
Question 1 to 11, True or False? Applied business statistics
1) The width of the confidence interval depends only on the desired level of confidence 2) When population standard deviation is unknown, sample standaird deviation is used and the interval estimation is based on values from the t- rather than the z-distribution n 3) The z value for a 98% confidence interval around the point estimate is 2.33 4) In order to construct a 90% confidence interval for the population...
True or False. (Determining sample size n for the purpose of estimating mean) For a specified sampling error (SE) and given population standard deviation, increase in the confidence level (1-alpha) will lead to a larger sample sizen. True False True or False The smaller the p-value associated with a test of hypothesis, the stronger the support for the research hypothesis. True False