Q23-Statistical power provides the same information as a p-value. True or False?
24. A statistically significant effect (i.e., p < .05) will always be practically meaningful. True or False ?
26. Rejecting the null hypothesis means that the sample outcome is very unlikely to have occurred if H0 is true. True or False ?
Q23-Statistical power provides the same information as a p-value. True or False? 24. A statistically significant...
Pls answer these questions 17 Causal research designs are experimental. TRUE FALSE 18 Pure research is also referred to as basic research. TRUE FALSE 19 Results from a qualitative research study can be generalized to a population. TRUE FALSE 20 Hypothesis tesing is used to prove facts. TRUE FALSE 21 An independent variable is also known as a predictor variable. TRUE FALSE 22 A dependent variable is also known as an outcome variable. TRUE FALSE An alternative hypothesis is 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?...
Which statement is equivalent to a statistically significant independent t-test? Select all that are true. Retain the null hypothesis. The p-value is less than .05. The 95% confidence interval for the difference of means does not contain 0. Alpha is greater than .05.
If a study is statistically significant with P value 0.05, all is True except for (in other words, select the "wrong* statement) The 95% confidence interval should not include the null value OB. Both P value and confidence interval should imply statistical significance OC. We reject the null in favor of the alternative O D. The study is also clinically significant
1. Which of the following will increase the value of the power in a statistical test of hypotheses? (a) Increase the Type II error probability. (b) Increase the sample size. (c) Reject the null hypothesis only if the P-value is smaller than the level of significance. (d) All of the above 2. A significance test gives a P-value of 0.023. This means that the result is statistically significant at (a) both the 0.01 and the 0.05 levels. (b) neither the...
On a certain portion of an experiment, a statistical test result yielded a p-value of 0.15. What can you conclude? If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 15% of the time, so the test is not statistically significant. 2(0.15) = 0.30 < 0.5; the test is not statistically significant. 0.15 > 0.05; the test is statistically significant. If the null hypothesis is true, one could expect...
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...
8. A random sample of 25 college males was obtained and each was
asked to report their actual height and what they wished as their
ideal height. A 95% confidence interval for μd= average difference
between their ideal and actual heights was 0.8" to 2.2". Based on
this interval, which one of the null hypotheses below (versus a
two-sided alternative)can be rejected?
A. H0: μd= 0.5
B. H0: μd= 1.0
C. H0: μd= 1.5
D. H0: μd= 2.0
9. The...
Question 1 For ANOVA: the null hypothesis is: Mu1 = Mu2 = Mu3......etc True False Question 2 For ANOVA: the alternative hypothesis is: Mu1 ≠Mu2 ≠Mu3......etc. True False Question 3 Both ANOVA and Chi square tests are always right tail tests True False Question 4 For ANOVA, you only complete a Tukey's means comparisons test if the overall F* value was significant (i.e., p<0.05) True False Question 5 Both F and Chi Square distributions vary with df True False Question...
The p-value helps a researcher determine: a. Whether or not the results are statistically significant. b. The size of an effect. c. The strength of the relationship between the variables. d. All of the above. Question 2 of 5 The makers of biodegradable straws have an automated machine that is set to fill each box with 100 straws. At various times in the packaging process, we select a random sample of 121 boxes to see whether or not the machine...