Question: Question 19 (1 point) In general, the larger the value of the sample variance, the greater the likelihood of rejecting the null hypothesis. Question 19
Question 19(1 point)
In general, the larger the value of the sample variance, the greater the likelihood of rejecting the null hypothesis.
Question 19 options:
| a) True | |
| b) False |
Question 20(1 point)
On average, a sample ofn = 16 scores from a population withs= 10 will provide a better estimate of the population mean than you would get with a sample ofn = 16 scores from a population withs = 5.
Question 20 options:
| a) True | |
| b) False |
Question 21(1 point)
One advantage of a repeated-measures design is that it typically requires fewer participants than an independent-measures design.
Question 21 options:
| a) True | |
| b) False |
Question 22(1 point)
For a one-tailed test witha = .05 and a sample ofn = 9, the critical value for the t statistic is t = 1.860.
Question 22 options:
| a) True | |
| b) False |
Question 23(1 point)
For a two-tailed test witha = .05 and a sample ofn = 16, the boundaries for the critical region are t = 2.120.
Question 23 options:
| a) True | |
| b) False |
Question 24(1 point)
If a hypothesis test rejects the null hypothesis using an alpha level ofa = .05, then the research report would include the statement "p > .05."
Question 24 options:
| a) True | |
| b) False |
Question 25(1 point)
If all other factors are held constant, increasing the sample size fromn = 25 ton = 100 will increase the power of a statistical test.
Question 25 options:
| a) True | |
| b) False |
Question 26(1 point)
For an independent-measures t statistic, you typically must compute the pooled variance before calculating the estimated standard error.
Question 26 options:
| a) True | |
| b) False |
Question 27(1 point)
A Type II error occurs when a researcher concludes that a treatment has an effect but, in fact, the treatment has no effect.
Question 27 options:
| a) True | |
| b) False |
Question 28(1 point)
It is possible for a very small treatment effect to be a statistically significant treatment effect.
Question 28 options:
| a) True | |
| b) False |
Question 29(1 point)
In most situations, researchers would like the hypothesis test to reject the null hypothesis.
Question 29 options:
| a) True | |
| b) False |
Question 30(1 point)
In a research report, the termsignificant result means that the null hypothesis was rejected.
Question 30 options:
| a) True | |
| b) False |
Question 31(1 point)
A sample ofn = 9 scores is selected from a population with = 50 ands = 12. The probability of obtaining a sample mean greater than 46 is p = 0.8413.
Question 31 options:
| a) True | |
| b) False |
Question 32(1 point)
If other factors are held constant, the larger the difference between the two sample means is, the greater the likelihood that the independent-measures t test will find a significant difference.
Question 32 options:
| a) True | |
| b) False |
Question 33(1 point)
In order for the distribution of sample means to be normal, it must be based on samples of at leastn = 30 scores.
Question 33 options:
| a) True | |
| b) False |
Question 34(1 point)
According to the central limit theorem, the standard error for a sample mean becomes smaller as the sample size increases.
Question 34 options:
| a) True | |
| b) False |
Question 35(1 point)
If other factors are held constant, as the sample size increases, the estimated standard error decreases.
Question 35 options:
| a) True | |
| b) False |
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