Statistics Final Exam Questions With Accurate Solutions.
A Type I error occurs when a treatment has no effect but the decision is to
reject the null hypothesis. - accurate answers-True
If other factors are held constant, then increasing the sample size will increase
the likelihood of rejecting the null hypothesis. - accurate answers-True
A two-factor study compares three different treatment conditions (factor 1)
for males and females (factor 2). In this study, the main effect for gender is
determined by the overall mean score for the males (averaged over the three
treatments) and the corresponding overall mean score for the females. -
accurate answers-True
The homogeneity of variance assumption states that the two population
variances are equal. - accurate answers-True
For any normal distribution, the proportion located between the mean and z =
1.40 is 0.9192. - accurate answers-False
There is always a possibility that the decision reached in a hypothesis test is
incorrect. - accurate answers-True
Because the repeated-measures ANOVA removes variance caused by
individual differences, it usually is more likely to detect a treatment effect
than the independent-measures ANOVA is. - accurate answers-True
The power of a hypothesis test is the probability that the sample mean will be
in the critical region if the treatment has an effect. - accurate answers-True
The value obtained for Cohen's d is independent of the sample size. - accurate
answers-True
A researcher would like to compare two treatment conditions with a set of 30
scores in each treatment. If a repeated-measures design is used, the study will
require n = 60 participants. - accurate answers-False
A sample has a mean of M = 40. If a new score of X = 55 is added to the sample,
then the sample mean would increase. - accurate answers-True
, The t distribution for df = 4 is flatter and more spread out than the t
distribution for df = 20 - accurate answers-True
A two-factor study compares 2 levels of factor A and 3 levels of factor B with a
sample of n = 5 participants in each treatment condition. This study will use a
total of 25 participants. - accurate answers-False
If a negatively skewed distribution has a mean of 50, then the median and the
mode are both probably greater than 50. - accurate answers-True
The sample mean will always be exactly in the center of a confidence interval
that is estimating the value of the population mean. - accurate answers-True
For a population with a standard deviation of = 12, a z-score of z = +0.50
corresponds to a score that is above the mean by 6 points. - accurate answers-
True
According to the central limit theorem, the standard error for a sample mean
becomes smaller as the sample size increases. - accurate answers-True
F-ratios are always greater than or equal to zero. - accurate answers-True
If you have a score of X = 66 on an exam with = 70 you should expect a better
grade if = 10 than if = 5 - accurate answers-True
A sample of n = 6 scores has X = 48. This sample has a mean of M = 8. -
accurate answers-True
The null hypothesis states that the sample mean (after treatment) is equal to
the original population mean (before treatment). - accurate answers-False
A score with a value less than or equal to the mean will have a z-score that is
less than or equal to zero. - accurate answers-True
In general, the larger the value of the sample variance, the greater the
likelihood of rejecting the null hypothesis - accurate answers-False
A Type I error occurs when a treatment has no effect but the decision is to
reject the null hypothesis. - accurate answers-True
If other factors are held constant, then increasing the sample size will increase
the likelihood of rejecting the null hypothesis. - accurate answers-True
A two-factor study compares three different treatment conditions (factor 1)
for males and females (factor 2). In this study, the main effect for gender is
determined by the overall mean score for the males (averaged over the three
treatments) and the corresponding overall mean score for the females. -
accurate answers-True
The homogeneity of variance assumption states that the two population
variances are equal. - accurate answers-True
For any normal distribution, the proportion located between the mean and z =
1.40 is 0.9192. - accurate answers-False
There is always a possibility that the decision reached in a hypothesis test is
incorrect. - accurate answers-True
Because the repeated-measures ANOVA removes variance caused by
individual differences, it usually is more likely to detect a treatment effect
than the independent-measures ANOVA is. - accurate answers-True
The power of a hypothesis test is the probability that the sample mean will be
in the critical region if the treatment has an effect. - accurate answers-True
The value obtained for Cohen's d is independent of the sample size. - accurate
answers-True
A researcher would like to compare two treatment conditions with a set of 30
scores in each treatment. If a repeated-measures design is used, the study will
require n = 60 participants. - accurate answers-False
A sample has a mean of M = 40. If a new score of X = 55 is added to the sample,
then the sample mean would increase. - accurate answers-True
, The t distribution for df = 4 is flatter and more spread out than the t
distribution for df = 20 - accurate answers-True
A two-factor study compares 2 levels of factor A and 3 levels of factor B with a
sample of n = 5 participants in each treatment condition. This study will use a
total of 25 participants. - accurate answers-False
If a negatively skewed distribution has a mean of 50, then the median and the
mode are both probably greater than 50. - accurate answers-True
The sample mean will always be exactly in the center of a confidence interval
that is estimating the value of the population mean. - accurate answers-True
For a population with a standard deviation of = 12, a z-score of z = +0.50
corresponds to a score that is above the mean by 6 points. - accurate answers-
True
According to the central limit theorem, the standard error for a sample mean
becomes smaller as the sample size increases. - accurate answers-True
F-ratios are always greater than or equal to zero. - accurate answers-True
If you have a score of X = 66 on an exam with = 70 you should expect a better
grade if = 10 than if = 5 - accurate answers-True
A sample of n = 6 scores has X = 48. This sample has a mean of M = 8. -
accurate answers-True
The null hypothesis states that the sample mean (after treatment) is equal to
the original population mean (before treatment). - accurate answers-False
A score with a value less than or equal to the mean will have a z-score that is
less than or equal to zero. - accurate answers-True
In general, the larger the value of the sample variance, the greater the
likelihood of rejecting the null hypothesis - accurate answers-False
