Which of the following expresses the probability that the observed result could have occurred by chance alone?
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p-value |
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Confidence interval |
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Power |
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False-positives |
p-value expresses the probability that the observed result could have occurred by chance alone.
P-value is also known as the probability value. P-value means obtaining the probability of a observe result of a test result assuming the null hypothesis is correct.
Which of the following expresses the probability that the observed result could have occurred by chance...
Which of the following statements is correct? a. a confidence level expresses the degree of certainty that an interval will include value of the population parameter. b. a confidence level expresses the degree of certainty that a point estimate will include the actual value of the population parameter. c. a confidence level expresses the degree of certainty that an interval will include the actual value of the sample statistic. d. a confidence level expresses the degree of certainty that a...
a) A result is statistically
significant if it is unlikely to occur by random chance
alone.
true or false
b) If a result is NOT statistically significant, that
means the chance model must be true.
true or false
c) there are always two possible explanations for the
statistics obtained from a sample. Select the two possible
explanations below.
Generalizability
Something is going on
Random chance
Sampling bias
d) what does the researcher's question, or what the
researcher thinks is true, determine?...
a p-value represents: a) none of the given answers are true b) the probability given the null hypothesis is true, that the results could have been obtained barring the involvement of chance c) the probability, given the null hypothesis is true, that the results could have been obtained purely on the basis of chance alone d) the probability, given the alternative hypothesis is true, the results could have been obtained purely on the basis of chance alone e) the probability,...
How might we determine whether an observed result is “extreme” enough to suggest someone might truly have ESP? Statisticians do this by employing a p-value. This is the probability of obtaining a sample statistic as extreme or more extreme than the observed sample statistic, if we assume to begin with that our null hypothesis is true. In this example, we start with a hypothesis that subjects are just guessing when presented with Zener cards and would do no better than...
Which of the following statements regarding p-value is FALSE? Group of answer choices A. It is the probability of the observed test statistic or one more extreme, assuming the null is true. B. The smaller the p-value, the less likely that the observed difference was due to random chance. C. p-values do not indicate the magnitude or importance of the observed difference. D. Big p-values provide strong evidence against the Null hypothesis.
5. (10 pts.) Suppose, for example, that an explosion at a chemical plant could have occurred as a result of any of three mutually exclusive causes: equipment malfunction carelessness, or sabotage. It is estimated that such an explosion could occur with a probability of 0.2 as a result of equipment malfunction, 0.4 as a result of carelessness, and 0.75 as a result of sabotage. It is also estimate that the prior probabilities of the three possible causes of the explosion...
Which of the following is the probability that an event will happen purely by chance assuming the null hypothesis is true. TOP-Value O Type 1 Error Level of significance Type II Error
1-which of the following in a statistical test represents the probability that the results were obtained by chance alone select one A- p-value B- u-value C-o-level D- &-level 2- which of the following would be better tested by the paired t test a- when meeting the assumptions is not a concern b- when the pretest and posttest data come from the same person c- when there is no concern for a normal distribution of variable d- when the pretest and...
For each problem, select the correct response. (a) What is the P-value of a test of the null hypothesis? A. The probability the null hypothesis is false B. The probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed C. The probability the null hypothesis is true D. The probability, assuming the null hypothesis is true, that the test statistic will take a value at least as...
Question 33 Which of the following statements best describes statistical inference? Drawing conclusions about a population based on a parameter Using descriptive statistics to draw conclusions about associations Deciding between two hypotheses based on sample data and probability Drawing conclusions about the presence of an outcome and the reasons for its existence None of the answers listed Question 34 When the results indicate a relative risk of 2.3 and we allow a 5% chance that the true value of the relative risk lies outside of the range 2,1...