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Stats Review Day 1
Stats Review Day 1
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1
Another name for z scores is
average scores
even scores
standardized scores
normal scores
2
Normal distribution curve is explained using:
Mean and standard deviation
Mean and median
Median and standard deviation
Mean and sample
3
Define variables (statistics)
characteristic of the population put to the test
characteristic of individuals in a population that take on different values
characteristic of the graph
characteristic of certain variables taken into account
4
What does a bimodal distribution have?
Two peaks
A normal distribution
One peak
A skewed distribution
5
frequency table
The table Ms. Bryant sits at most often.
A table used to show the number of times something occurs.
The table that asks the most questions.
A bar graph.
6
Which correlation coefficient suggests the strongest correlation?
.02
-.4
-.9
.6
7
examples of qualitative variables
gold, brown
distance, clearness
type, length
shape, color, gender
8
In a normal distribution, the mean and standard deviation are always
mean=1, STD=1
mean=1, STD=0
mean=0, STD=1
mean=0, STD=0
9
Are there any outliers?
Yes
No
10
Stem and Leaf Plots
41 and 80
14 and 59
41 and 95
52 and 95
11
Bar Charts
100
150
200
50
12
Examples of quantitative discrete variable EXCEPT:
Shoe size
Speed of vehicles on road
Number of books read
Number of movie tickets bought
13
When is your exam?
Tuesday May 6th at 8 am
Friday May 9th, at 8 am
Thursday May 8th, at 8 am
Wednesday May 7th, at 8 am
14
5 Number Summary
Don't help to create a boxplot
consists of the min. and max. , the Q1 and Q3 and the median
a graphical rep. showing the five-number summary of data
statement of what the researchers think will be the outcome
15
Continuous variables
are measured in categories (observation is either in a category or isn't)
have ordered set of values within a certain range (values btwn two points)
16
Dot Plots
D. 4 ft and 5-1/2 ft
C. 4 ft and 4-1/2 ft
A. 5ft and 5-1/2 ft
B. 4-1/2 ft and 5 ft
17
Which correlation coefficient suggests the weakest correlation?
.6
.02
-.4
-.9
18
Bar charts show:
Different drinks
The proportion of different categories of data.
Nothing useful.
The frequency for different categories of data
19
Which scatter plot has a negative correlation?
B
C
A
D
20
What is the big difference between the bar graph and histograms?
Bar graphs are bigger
The bars touch for a bar graph but don't for a histogram
The bars don't touch in the bar graph but do for a histogram
Histograms have more bars
21
Where are most data points located in a normal distribution?
Close to the mean
Two standard deviations from the mean
Three standard deviations from the mean
All data is close to the mean
22
Histograms differ from Bar Graphs because they
Are more Cluttered
Are used for longer time periods
Are more professional looking
Group numbers into ranges
23
What are examples of quantitative variables?
gender, religion, and political view
hair color, eye color, race
sight, smell, taste
paycheck amount, number of hours worked, vacation hours
24
The frequency table shows the colors that fifth graders preferred for their school shirts.
105
38
147
91
25
Is this graph skewed to the left or right?
Skewed to the left
Skewed to the right
26
In statistics, variables can be
Integers and Strings
Populations and Samples
Categorical and Quantitative
27
If the data distribution is skewed a researcher must utilize:
Mean
Median
28
What is the correlation of this scatter plot?
POSITIVE
NO
NEGATIVE
29
Bar charts must have...
an equal gap between each bar.
bars of equal eidth
a title.
all of the above.
30
Empirical Rule
No data falls within two standard deviations
The average must be the median
normal distribution, 68% of data falls within one standard deviation
All data points must be equal
31
A(n) ________ is the pattern of data described by shape, center, spread and outliers.
quantitative
outlier
distribution
categorical
32
Identify the outliers on the scatter plot
(4, 5)
(4, 1)
(1, 4)
(3, 1)
33
The interquartile range is distance between:
Q1 and Q3
the median and Q1
breakfast and lunch
the minimum and the maximum
34
The Empirical Rule
34%
68%
95%
99.7%
35
Correlation coefficient
sx
s
r2
r
