Varibility Probability Z Scores Hypothesis

Question 1

Fairly variable distribution.

Answer 1

Heterogenous scores.

Question 2

More similar distribution- specific range.

Answer 2

Homogeneous score

Question 3

How do you compute range?

Answer 3

URL highest- LRL lowest

Question 4

Determines the dispersion of data points.

Answer 4

Sum of squares

Question 5

Measure of total variability of a set of scores around a particular number, usually the mean of the set of scores.

Answer 5

squared deviation scores.

Question 6

What does variance measure?

Answer 6

The average squared deviation from the mean.

Measure of variability.

Question 7

How do you compute variance for a population?

Answer 7

SUM OF SQUARE/df

Question 8

How do you compute variance for a sample?

Answer 8

S^2= SS/ (N-1)

Question 9

Used in descriptive statistics (instead of variance)

“Typical distance of a set of scores from their mean”

Answer 9

Standard deviation

Question 10

Summarize the spread of scores in a population or a sample.

Measure degree to which scores differ from one another.

Answer 10

Measure the Variability

Question 11

obtain a measure of how spread out the scores are in a distribution.

Answer 11

Goal of variability

Question 12

Measuring Variability

Answer 12

• the range
• the interquartile range
• the standard deviation/variance.

Question 13

total distance covered by the distribution, from the highest score to the lowest score

Answer 13

Range

Question 14

distance covered by the middle 50% of the distribution (the difference between Q1 and Q3).

Answer 14

Interquartile range

Question 15

is a statistical measurement that looks at how far a group of numbers is from the mean. Put simply, standard deviation measures how far apart numbers are in a data set.

Answer 15

Standard deviation

Question 16

the average of the squared differences from the mean.

Answer 16

Variance

Question 17

usually sufficient to complete most z-score transformations

Answer 17

Z-score

Question 18

composed of scores that have been transformed ot create predetermined values for u and o. Also used ot make dissimilar distributions comparable.

Answer 18

standardized distribution

Question 19

a method for measuring and quantifying the likelihood of obtaining a specific sample from a specific population

Answer 19

Probability

Question 20

When a score is referred to by its rank, the score is called a

Answer 20

Percentile

Question 21

a. z<0.25
b. Z>0.80
c. Z<-1.50
d. D. z>-0.75

Answer 21

P= 0.5987
0.2119
0.0668
0.7734

Question 22

Separate the top 20% from the rest

Answer 22

Z= 0.84

Question 23

natural discrepancy, or the amount of error, between a sample statistic and its corresponding population
parameter

Answer 23

Sampling error

Question 24

standard deviation of the distribution of sample means

Answer 24

Standard error of M

Question 25

The deviation of a value (x) from the mean of the sample divided by the standard deviation (s)of the sample is known as the "z" value or z-score. True False

Answer 25

True

Question 26

A z-score of 1.0 corresponds to a value one standard deviation from the mean. True False

Answer 26

True

Question 27

Since the normal curve is not symmetrical the area corresponding to a z-score of +1.0 will be different from that corresponding to -1.0.

Answer 27

False

Question 28

A home business has an average income of $900.00 per month with a standard deviation of $15.00. If the income in a given month is $930.00, what -score corresponds to this value?

Answer 28

2.0

Question 29

Another home business has an average income of $1,200.00 per month with a standard deviation of $100.00. If the income in a given month is $1,030.00, what -score corresponds to this value?

Answer 29

-1.7

Question 30

Clyde Cement wants to analyze a shipment of bags of cement. He knows the weight of the bags is normally distributed so he can use the standard normal distribution. He measures the weight of 600 randomly selected bags in the shipment. Next, he calculates the mean and standard deviation of their weights. The mean is 50 lbs. and the standard deviation is 1.5 lbs. What percentage of the bags of cement will weigh less than 50 lbs.?

Answer 30

50

Question 31

Equation in z-score

Answer 31

z = (x-m)/s z = (deviation/standard deviation)

Question 32

What is the mean and SD of Standard Scores?

Answer 32

Mean 100 SD 15

Question 33

Scores deviate from the mean in a predictable way. Most scores occur around the mean, fewer scores occur far from the mean

Answer 33

Normal distribution

Question 34

For a sample with M = 60 and s = 8, what is the 7-score corresponding to X = 62?

Answer 34

0.25

Question 35

Using z-scores, a population with u = 3/ and o = 6 is standardized so that the new mean is u= 50 and o = 10. How does an individual's z-score in the new distribu[1]tion compare with his/her z-score in the original population?

Answer 35

New z = old z

Question 36

A distribution with u = 35 and o = 8 is being standardized so that the new mean and standard deviation will be u = 50 and o = 10. In the new, standardized distribution your score is X = 60. What was your score in the original distribution?

Answer 36

X= 45