Challenge yourself with these true/false questions. Click on your choice to see if you are correct.
The purpose of inferential statistics is to simplify and organize the data from a study. (True/False)
Individual differences can be expected for psychological variables such as intelligence, anxiety, and athletic ability. (True/False)
Frequency distributions are a subset of inferential statistics. (True/False)
Summary statistics are a subset of descriptive statistics. (True/False)
Mean scores are helpful in the interpretation of nominal data. (True/False)
Cross-tabulation is a useful way to describe the relationship between two nominal variables. (True/False)
It is possible to convert a grouped frequency distribution to a frequency distribution without referring back to the original data. (True/False)
It is possible to convert a frequency distribution to a grouped frequency distribution without referring back to the original data. (True/False)
When you are using a continuous variable, it is best to use a frequency distribution instead of a grouped frequency distribution. (True/False)
A frequency polygon can be used to compare distributions of scores from more than one group. (True/False)
Traditionally, the frequency of each score (or interval) is shown on the Y axis or ordinate of a frequency polygon. (True/False)
Skewed distributions usually show the familiar bell shape. (True/False)
The normal distribution is actually defined by a mathematical equation. (True/False)
A classroom test that is too difficult will produce a distribution that is negatively skewed. (True/False)
The range is a frequently used measure of central tendency. (True/False)
Although it is possible to have more than one mode in a distribution, there will always be just one mean. (True/False)
The most frequently used measure of central tendency is the median, which is the arithmetic average of the scores. (True/False)
The variance, unlike the range, uses all the scores in its computation. (True/False)
If all of the scores in a distribution are increased by exactly five points, the range will increase by five points. (True/False)
A product-moment correlation of -1.00 means that there is no linear relationship between the variables. (True/False)
With ordinal data, the appropriate correlation to use is the Spearman rank-order correlation. (True/False)
Cross-tabulation for nominal data is the conceptual equivalent of scatter plots for score data. (True/False)
A nonlinear relationship is best indexed with a product-moment correlation. (True/False)
A circular scatter plot usually indicates a moderately strong positive relationship between the variables. (True/False)
A sample is a subset of the people or objects in a population. (True/False)
The null hypothesis states that there are no individual differences within the groups. (True/False)
If we are using a t-test and we reject the null hypothesis, we can be sure that the population means are different. (True/False)
Alpha is the level of Type II error that we can expect. (True/False)
If nothing else changes, decreasing alpha from .05 to .01 will increase the probability of a Type II error. (True/False)
If we have two groups and want to compare the means of the groups, we can use either a t-test or an analysis of variance. (True/False)
The sensitivity of a statistical procedure to the differences being sought is called the reliability of the procedure. (True/False)