Question 11
Approximately what percentage of scores falls between -1 and +1 standard deviations around the mean under the normal curve?
Flag question: Question 12
What percentage of all scores fall above a z score of +1?
Flag question: Question 13
In a distribution with a mean of 30 and a standard deviation of 5, how many standard deviations is 60 from the mean?
Flag question: Question 14
When you flip a coin 10 times, how many possible combinations or outcomes could you have?
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If you know the z score, standard deviation(s), and mean (M), what formula would you use to compute the raw score (X)?
Flag question: Question 16
What is the z score when you have a raw score of 85, a group mean of 75, and a standard deviation of 5?
Flag question: Question 17
Events that appear in the extremes of the normal curve have a very small probability of occurring.
Flag question: Question 18
About half of all scores fall between the mean and 1 standard deviation below the mean.
Flag question: Question 19
The term for error that cannot be controlled for is ______.
Flag question: Question 20
The first step in testing a hypothesis is to do which of the following?
Group of answer choices
Set the level of risk associated with the null hypothesis.
Select the appropriate test statistic.
Provide a statement of the null hypothesis
Compute the test statistic value.
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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