QNT/351 Week 5 My Stats Lab Answers 1. Which hypothesis‚ the null or the alternative‚ is the status-quo hypothesis? Choose the correct answer below A. null hypothesis B. alternative hypothesis 2. What is the level of significance of a test of hypothesis? Choose the correct answer below A. The level of significance‚ β‚ is the probability of committing a Type II error‚ rejecting the null hypothesis when it is‚ in fact‚ true B. The level of significance‚ α‚ is the probability of committing a Type
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models. Therefore‚ the hypothesis test that Par could use to compare the driving distances of the current and new golf balls can be formulated as follows: It is set to be a two-tailed test which refers to the difference between the mean distances. Here‚ refers to the mean driving distance of the new golf ball whilst refers to the mean driving distance of the current golf ball. When the difference between the mean distances is equal to 0‚ therefore‚ the null hypothesis rejected. This shows that
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15% and 20% hardwood concentration levels. These "levels" are also called "treatments." Since we are only evaluating a single factor (hardwood concentration) this is called one-way ANOVA. The null hypothesis is that the means are equal: H0: Mean1 = Mean2 = Mean3 = Mean4 The alternate hypothesis is that at least one of the means are different: Ha: At least one of the means is different To conduct the one-way ANOVA test‚ you need to randomize the trials (assumption #1). Imagine that we’ve conducted
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within the limits of the confidence interval. 3. 95 out of 100 population means will fall within the limits of the confidence interval. 3. What does a significant test statistic tell us? 1. 2. 3. 4. There is an important effect. The hull hypothesis is false. There is an effect in the population of sufficient magnitude to be scientifically interesting. All of the above. 4. A type I error is when: 1. 2. 3. 4. We conclude that there is a meaningful effect in the population when in
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the null hypothesis. This suggests that there is a difference in the control and treatment groups. 2. Since the p- value is less than 0.05 and therefor the null hypothesis can be rejected. This presents that the mean‚ difficulty and mobility scores‚ must be different 3. The result was statistically significant with a probability score of p < 0.001. 4. Yes‚ because 0.001 < 0.01 and would still be significant. 5. The 0.04 > 0.01 would indicate that there is no statistical significance
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Extra Exercise: Estimation and Hypothesis Testing 1. The length (in millimetres) of a batch of 9 screws was selected at random from a large consignment and found to have the following information. 8.02 8.00 8.01 8.01 7.99 8.00 7.99 8.03 8.01 Construct a 95% confidence interval to estimate the true average length of the screws for the whole consignment. From a second large consignment‚ another 16 screws are selected at random and their mean and standard deviation found to be
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1 2) ∝ = 0.05 6 3) ??2 = ∑ ?=1 (?? − ?? )2 = 29.5137 ?? 4) ?? = 5‚ ? − ????? = 1.8382 × 10−5 5) ??????? ? − ????? ???ℎ ∝ - ?? ? − ????? < ∝‚ ?????? ?0 - ??ℎ????‚ ?????? ?0 6) 1.8382 × 10−5 < 0.05‚ ?????? ?0 Therefore‚ we find sufficient statistical evidence to reject the null
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months that has positive investment returns on AT&T are equal to months of negative returns. Therefore he sets a hypothesis; the null hypothesis H0 :ppositive = pnegative = 0.5 versus the alternative hypothesis Ha: not H0. The number of months that has the positive returns on AT&T is 32‚ and the number of months that has the negative returns is 22. In order to test the hypothesis‚ he should do chi-square test. First of all he calculates the expected value that has the positive and negative returns
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upper bounds on the p-value for the test. 2. lower bound (if the lower bound is outside the values of the tables‚ type lt in the box) 3. upper bound (if the upper bound is outside the values of the tables‚ type gt in the box) 4. Is the null hypothesis rejected for this test? Type yes or no. 5. Hence‚ on the basis of this test‚ is there a relationship between movie success and whether or not the movie is in 2D‚ 3D or Black and White? Type yes or no. Ho: type of movie and its success are independent
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Abstract The idea of mental imagery has always been a controversial subject in the field of psychology. Many psychologists have argued that such a concept is impossible to measure because it can not be directly observed. Though they are right about this‚ it is not impossible to measure how quickly mental rotations of images are processed in our brains. Subjects in this experiment were presented two shapes simultaneously‚ via computer screen‚ and asked to make judgement‚ as quickly as possible
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