Crm stats chapter 4

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which of the following is a disadvantage of using the mean

sensitivity to extreme values makes measure unstable

which of the following is the strength of the mode

simplicity and interpretability

which of the following is NOT a measure of central tendency

standard deviation

deviation scores are comprised of which of the following

the absolute value of the score and whether the raw score is associated with the mean

mean

the arithmetic average of a set of data

deviation score

the distance between the mean of a data set and any given raw score in that set

mode

the most frequently occurring category or value in a set of scores

Midpoint of the magnitudes

the property of the mean that causes all deviation scores based on the mean to sum to zero

Median

the score that cuts a distribution exactly in half such that 50% of the scores are above that value and 50% are below it

The mode is a measure of central tendency

true

the median can be used with nominal and ordinal data

true

the normal distribution , positively skewed distribution and negatively skewed distribution are three main types of distribution

true

using the mean to examine data is advantageous because it uses the entire data set

true

A survey item asks respondents, "How many times have you shoplifted?" and allows them to fill in the appropriate number. What measure of central tendency can be computed on this variable

A mean

What is an extreme value

Extreme value is one that differs a lot. Small effect on the median the mean is effected considerably- erroneous picture of what the case looks like. Mean doesn't reflect other values b/c it becomes erroneous.

Which of the following statements describing a negatively skewed distribution are "True" and which are "False"? The mean and the median are approximately equal

False

Which of the following statements describing a negatively skewed distribution are "True" and which are "False"? The mean is greater than the median

False

Which of the following statements describing a normal distribution are "True" and which are "False"? The mean is greater than the median

False

Which of the following statements describing a normal distribution are "True" and which are "False"? The mean is less than the median False

False

Which of the following statements describing a positively skewed distribution are "True" and which are "False"? The mean is less than the median

False

Which of the following statements describing a positively skewed distribution are "True" and which are "False"? The mean and the median are approximately equal

False

Explain why the mean is the midpoint of the magnitudes. Include in your answer (1) what deviation scores are and how they are calculated and (2) what deviation scores always sum to.

It means how far from the mean the raw score is. Larger values are further from the mean and smaller values are closer Deviation scores- subtract mean from raw score Mean balances higher than average and lower than average scores Higher than average numbers have a positive value Lower than average numbers have a negative value

A survey item asks respondents, "How many times have you shoplifted?" and give them the answer options: 0, 1 - 3, 4 - 6, 7 or more? What measure or measures of central tendency can be computed on this variable?

Mode

A survey item asks respondents, "Have you ever shoplifted?" and tells them to circle "Yes" or "No" as their response. What measure or measures of central tendency can be computed on this variable?

Mode - report as percentage

A survey item asks respondents, "Have you ever shoplifted?" and tells them to circle "Yes" or "No" as their response. What level of measurement is the variable?

Nominal

A survey item asks respondents, "How many times have you shoplifted?" and give them the answer options: 0, 1 - 3, 4 - 6, 7 or more? What level of measurement is the variable?

Ordinal

A survey item asks respondents, "How many times have you shoplifted?" and allows them to fill in the appropriate number. What level of measurement is the variable?

Ratio

In a negatively skewed distribution, which direction along the number line would the tail extend towards?

To the left

In a positively skewed distribution, which direction along the number line would the tail extend towards?

To the right

Which of the following statements describing a negatively skewed distribution are "True" and which are "False"? The mean is less than the median

True

Which of the following statements describing a normal distribution are "True" and which are "False"? The mean and the median are approximately equal

True

Which of the following statements describing a positively skewed distribution are "True" and which are "False"? The mean is greater than the median

True

which of the following represents the mode of a categorical variable

a category/label name

positive skew

a clustering of scores in the left-hand side of a distribution with some relatively large scores that pull the tail toward the positive side of the number line

negative skew

a clustering of scores in the righthand side of a distribution with some relatively small scores that pull the tail toward the negative side of the number line

normal distribution

a set of scores that clusters in the center and tapers off to the left (negative) and right (positive) sides of the number line

which of the following statements describes a positively skewed distribution

clusters on the left side of the distribution

measures of central tendency

descriptive statistics that offer information about where the scores in particular data set tend to cluster. Examples include the mode, median and mean

the mean as the magnitude of the midpoint is defined as

deviation scores computed using the mean that always sum to zero

when N (sample size) is an even number the median will be a value in the data set

false

the mean can be calculated with which of the following levels of measurement

interval and ratio

the median cab be determined in which of the following levels of measurement

interval, ordinal, ratio

which of the following measures of central tendency is the analytical foundation of most hypothesis tests

mean


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