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Unit 9 - Statistics Vocab

Total questions: 88

Worksheet time: 48mins

Name
Class
Date
1.

Stand and Fight?

a)

:)

b)

:(

2.

What does Parameter of Interest mean?

a)
The mode of a dataset
b)
Specific population characteristic that the researcher is interested in studying or making inferences about
c)
The standard deviation of a population
d)
The average of a sample
3.

What is bi-model distribution?

a)
A distribution with three peaks
b)
A distribution with only one peak
c)
A distribution with no peaks
d)
A probability distribution with two distinct peaks or modes
4.

Distribution Curve?

a)
Frequency distribution
b)
Distribution network
c)
Distribution center
d)
Normal distribution
5.

What is a frequency distribution curve?

a)
A way to measure temperature
b)
A method for calculating standard deviation
c)
A graphical representation of the frequency of data values in a distribution
d)
A type of musical notation
6.

What is a Mode

a)
The smallest value in a data set
b)
The value that appears most frequently in a data set.
c)
The average of a data set
d)
The range of a data set
7.

Normal Distribution definition

a)
Irregular and spiky
b)
Asymmetric and U-shaped
c)
Symmetric and bell-shaped
d)
Skewed and flat
8.

What is a point of inflection?

a)
A point on a curve where the curvature changes direction
b)
A point where the curve intersects the x-axis
c)
A point where the curve is continuous
d)
A point where the curve is at its maximum height
9.

What is a skewed distribution?

a)
Uneven distribution of data around the mean
b)
Data distributed equally in all directions
c)
No distribution of data around the mean
d)
Perfectly balanced distribution around the mean
10.

What is standard deviation?

a)
A measure of the highest value in a set
b)
The average of a set of values
c)
A measure of the amount of variation or dispersion of a set of values.
d)
A type of mathematical equation
11.

What is unimodal?

a)
Referring to a type of music
b)
Having no mode in a distribution
c)
Having only one mode or peak in a distribution
d)
Having multiple modes in a distribution
12.

What is the Greek letter for mean AND standard deviation

a)
delta and gamma
b)
mu and sigma
c)
alpha and beta
d)
theta and omega
13.

data distributions can be represented in histograms and distribution curves.

a)
Histograms and distribution curves
b)
Box plots and line plots
c)
Line graphs and pie charts
d)
Bar charts and scatter plots
14.

Mean, Mode, and Median are in the center of a normal distribution

a)
True
b)
Depends on the data
c)
Sometimes true
d)
False
15.

What are the features of a normal distribution

a)
U-shaped curve, mean
b)
Straight line, mean=median=mode, 50-75-100 rule
c)
Skewed curve, mean>median>mode, 50-75-100 rule
d)
Bell-shaped curve, mean=median=mode, 68-95-99.7 rule
16.

Standard Deviation is sort of like a rate horizontally.

a)
False
b)
Not sure
c)
Partially true
d)
True
17.

The characteristics of normal distribution

a)

The mean/median/mode

b)

Less data as you go away from mean

c)

There is an outlier

d)

Nearly symmetrical on both sides

18.

What is an outlier in statistics

a)
A data point that differs significantly from other observations in a dataset
b)
A data point that is always included in the calculation of the mean
c)
A data point that has no impact on the overall analysis of the dataset
d)
A data point that is exactly in the middle of other observations in a dataset
19.

Sometimes people click the bigger answer and they usually are the right answer, make the true answer average size compared to the others.

a)
Gigantic
b)
Average size
c)
Extra large
d)
Tiny
20.

In a standard deviation, the graph goes concave up, and then concave down. What is this called?

a)
Slope point
b)
Turning point
c)
Inflection point
d)
Maximum point
21.

Why are inflections points important?

a)
They are used to identify prime numbers
b)
They indicate where a function changes concavity
c)
They have no significance in mathematics
d)
They are only relevant in art and literature
22.

When thinking about standard deviation, think of it as a horizontal stretch, and less of it being the rate of change. The horizontal stretch may change depending on the outlier!

a)
Diagonal expansion
b)
Curved contraction
c)
Vertical compression
d)
Horizontal stretch
23.

How do you find the standard deviation with mean?

a)
Calculate the difference between each data point and the mean, then square the differences, find the average of the squared differences, and finally take the square root of the average.
b)
Subtract the mean from each data point and take the average
c)
Multiply the mean by the standard deviation
d)
Add all the data points and divide by the mean
24.

According to the Empirical Rule of Normal Distribution, an entire curve is how much percent?

a)
100%
b)
25%
c)
75%
d)
50%
25.

1 to 1 in Empirical Rule is how much percent?

a)
50%
b)
25%
c)
90%
d)
68%
26.

-2 to 2 in Empirical Rule is?

a)
95%
b)
99.7%
c)
80%
d)
50%
27.

-3 to 3 in Empirical Rule

a)
50%
b)
80%
c)
95%
d)
99.7%
28.

Mean : 300 grams

S.D. : 23 grams

You can sell any boxes in the top or bottom .15%, how many grams can you sell inbetween

a)
Between 200 and 400 grams
b)
Between 250.5 and 349.5 grams
c)
Between 150 and 450 grams
d)
Between 100 and 500 grams
29.

How do you turn decimals into percent?

a)
Multiply by 100 and add the percent symbol (%)
b)
Multiply by 100 and subtract the percent symbol (%)
c)
Subtract 100 and add the percent symbol (%)
d)
Divide by 100 and add the percent symbol (%)
30.

Make a rhyme about Product, Quotient, Power rule!

a)
Product, quotient, power rule, all part of math's cool tool!
b)
Product, quotient, power rule, why do I need to learn this tool?
c)
Product, quotient, power rule, all part of math's boring school!
d)
Product, quotient, power rule, makes me feel like a fool!
31.

The power rule is a side rule that follows after the quotient and product.

a)
x*n
b)
x^n
c)
x^-n
d)
x^2
32.

When graphing standard deviation, write -3, -2, -1, 0, 1, 2, 3

a)
Mean values
b)
Mode values
c)
Standard deviation values
d)
Median values
33.

Bill said that a normal distributions has no bell shape figure, is this true?

a)
Yes
b)
True
c)
False
d)
Partially true
34.

Information must be clustered for a normal curve?

a)
Sometimes
b)
True
c)
Only on weekends
d)
False
35.
What does the law of large numbers mean?
a)
The more you try, the more likely you are to get what you want.
b)
No matter how many times you try, the probability remains the same.
c)
Trying harder is a good idea.
36.
The Law of Large Numbers deals with what?
a)
Running for a long time.
b)
Probability.
c)
Geometry shapes.
d)
Algebraic Equations.
37.

What is a z-score?

a)
A measure of how many standard deviations a data point is from the mean of a data set
b)
A type of musical score used in jazz music
c)
The score given to a student on a test
d)
The number of times a data point appears in a data set
38.

What is the z-score equation?

a)
(X - μ) / σ
b)
(X * μ) / σ
c)
(X - σ) / μ
d)
(X + μ) / σ
39.

To find percentage that is MORE than a value, you need to

a)
Calculate the percentage decrease
b)
Subtract the value from 100%
c)
Divide the value by 100
d)
Calculate the percentage increase
40.

To find a percentage between 2 values, subtract the big percent from the

a)
big value
b)
medium value
c)
average value
d)
small value
41.

What is a standard normal distribution

a)
A distribution with a mean of 0 and a standard deviation of 0
b)
A normal distribution with a mean of 1 and a standard deviation of 0
c)
A normal distribution with a mean of 0 and a standard deviation of 1
d)
A distribution with a mean of 1 and a standard deviation of 1
42.

Symbols for sample statistics and corresponding population parameters?

a)
Sample statistic: α (alpha), Population parameter: β (beta)
b)
Sample statistic: x (lowercase x), Population parameter: y (lowercase y)
c)
Sample statistic: a (lowercase a), Population parameter: b (lowercase b)
d)
Sample statistic: θ (theta), Population parameter: μ (mu) for mean; Sample statistic: s (lowercase s), Population parameter: σ (sigma) for standard deviation
43.

If you get a z score above 4, its basically near zero.

a)
Depends on the situation
b)
Not sure
c)
True
d)
False
44.

When looking at z scores, make sure to round your hundredths place

a)
Round to the hundredths place
b)
Round to the tenths place
c)
Round to the thousandths place
d)
Round to the ones place
45.

When trying to find the percent, if it says your better than below, than use that percent for the z - score, if you are in top whatever percent, subtract it from 100 % and than use that value for your z - score.

a)
Use the given percent for the z-score calculation
b)
Ignore the given percent and use 50% for the z-score calculation
c)
Use the given percent for the standard deviation calculation
d)
Use the given percent for the mean calculation
46.

When working backwards on the z-score, make sure you use the closest percent on the z-score, and use that.

a)
Use the farthest percent on the z-score
b)
Use the median percent on the z-score
c)
Use the average percent on the z-score
d)
Use the closest percent on the z-score
47.

The z-score is the distance from the mean

a)
the range of a data set
b)
a measure of how many standard deviations a data point is from the mean
c)
the median of a data set
d)
the number of data points in a set
48.

If its a negative z-score, apply it!

a)
Ignore the negative z-score
b)
Convert the negative z-score to a positive value
c)
Apply the negative z-score
d)
Use the absolute value of the negative z-score
49.

Sometimes a closest point to the point may not seem likely.

a)
False
b)
Maybe
c)
True
d)
Depends
50.

The grades on a mathematics midterm are normally distributed with �=71μ=71 and �=4.5σ=4.5. Rob scored 5959 on the exam. Find his zz-score and write your result in the empty box provided below round to two decimal places.

a)
0.50
b)
-2.67
c)
10.25
d)
3.14
51.

Roger Federer won the 2017 Wimbledon Championship – one of the most prestigious tournaments in all of tennis. This was a record-setting eighth Wimbledon victory and he also became the oldest man to win the Wimbledon Championship. During the course of the tournament, Federer’s first serve speeds averaged a mean of 116 mph. Assume that the distribution of first-serve speeds is approximately normal with a standard deviation of 4 mph.

Use Z-Table to find the correct percent, to the nearest tenth of a percent.  (You might want to sketch the normal distribution curve.)

 

Calculate the approximate percent of Federer’s first serves that were faster than 125 mph. 

a)
Approximately 8.7%
b)
Approximately 2.5%
c)
Approximately 12.3%
d)

1.22% of the serves were faster than 125 mph.

52.

What are the four random sampling methods?

a)

Simple Random

b)

Systematic

c)

Cluster

d)

Stratified

e)

Volunteer

53.

What are the two main non-random methods of surveying

a)
Purposive sampling and quota sampling
b)
Cluster sampling and convenience sampling
c)

Volunteer sampling and Convenience

d)
Systematic sampling and snowball sampling
54.

What is population statistics

a)
Analyzing the weather patterns in a specific region
b)
Studying the behavior of individual animals
c)
Collection, analysis, and interpretation of data about the characteristics of a population
d)
Counting the number of trees in a forest
55.

Small part of the population is actually participating in a survey in statistics

a)
Non-response bias
b)
Measurement error
c)
Response bias
d)

Sampling

56.

What does cluster sample mean?

a)
A sampling technique where the population is divided into individual units, and then a random sample of units is selected for analysis.
b)
A sampling technique where the population is divided into clusters, and then a random sample of clusters is selected for analysis.
c)
A sampling technique where the population is divided into categories, and then a random sample of categories is selected for analysis.
d)
A sampling technique where the population is divided into layers, and then a random sample of layers is selected for analysis.
57.

What does convenience sample mean?

a)
Subjects are randomly selected from a large population.
b)
Subjects are chosen based on their unique characteristics.
c)
Subjects are selected based on their convenient accessibility and proximity to the researcher.
d)
Subjects are selected based on their willingness to participate.
58.

Parameter definition

a)
A statement that defines a parameter
b)
A variable used in a loop
c)
A function that calculates a value
d)
A mathematical equation
59.

What does simple random sample mean?

a)
Every member of the population has an equal chance of being selected
b)
Choosing individuals based on their demographic characteristics
c)
Selecting only the most common members of the population
d)
Picking members of the population at random without any restrictions
60.

Stratified random sample definition.

a)
A sampling method in which the population is divided into random subgroups
b)
A sampling method in which the population is divided into strata based on alphabetical order
c)
A sampling method in which the population is divided into age groups
d)
A sampling method in which the population is divided into subgroups, or strata, and then a random sample is taken from each stratum.
61.

What does volunteer sample mean?

a)
A group of individuals who are forced to participate in a study or survey
b)
A group of individuals who are paid to participate in a study or survey
c)
A group of individuals who are selected randomly to participate in a study or survey
d)
A group of individuals who have chosen to participate in a study or survey on their own accord
62.

Causation vs Correlation? What do they both mean?

a)
Causation refers to a type of fruit, while correlation refers to a type of vegetable.
b)
Causation refers to a cause-and-effect relationship, while correlation refers to a mutual relationship or connection between two variables.
c)
Causation is a scientific term, while correlation is a literary term.
d)
Causation is a term used in psychology, while correlation is a term used in physics.
63.

Often a sample represents a population, but sometimes it doesn't

a)
True
b)
Maybe
c)
False
d)
Depends on the weather
64.

Researchers ask questions of participants usually about preferences/opinions.

a)

suvery

b)

observational study

c)

experiement

d)
facts/figures
65.

Observational Study vs Experiment definitions

a)
Experiment: Involves observing and analyzing subjects in their natural environment without any intervention or manipulation by the researcher.
b)
Observational Study: Involves manipulating variables and observing the effects in a controlled environment.
c)
Observational Study: Involves observing and analyzing subjects in their natural environment without any intervention or manipulation by the researcher. Experiment: Involves manipulating variables and observing the effects in a controlled environment.
d)
Observational Study: Involves conducting surveys and interviews to gather data.
66.

What are the advantages and disadvantages of a Survey

a)
Advantages include accurate data and high response rates
b)
Disadvantages include unbiased responses and diverse perspectives
c)
Advantages include easy data analysis and quick response rates
d)
Advantages include gathering diverse perspectives, while disadvantages may include response bias and low response rates.
67.

Observational Study advantages and disadvantages

a)
Advantages: Cannot study long-term effects
b)
Advantages: Can study common diseases
c)
Disadvantages: Can establish cause and effect
d)
Advantages: Can study rare diseases, Can study long-term effects, Can study natural behavior. Disadvantages: Cannot establish cause and effect, Susceptible to bias and confounding variables, Cannot control variables.
68.

Experiment advantages and disadvantages

a)
Advantages: Uncontrolled environment
b)
Disadvantages: No ethical concerns
c)
Advantages: Limited ability to establish cause and effect
d)
Advantages: Controlled environment, ability to establish cause and effect, can be replicated for validation. Disadvantages: Ethical concerns, limited generalizability, potential for bias.
69.

Control group definition

a)
A group that does not receive the treatment being tested
b)
A group that includes both the treatment being tested and a placebo
c)
A group that receives a different treatment than the one being tested
d)
A group that receives the treatment being tested
70.

What is a treatment group vs control group?

a)
A treatment group receives the control intervention, while the control group receives the treatment intervention.
b)
A treatment group receives the intervention being studied, while the control group does not receive the intervention and is used as a comparison.
c)
A treatment group is used as a comparison, while the control group receives the intervention being studied.
d)
A treatment group receives no intervention, while the control group receives the intervention being studied.
71.

What is the radical form equation

a)
An equation with no variables
b)
An equation with only whole numbers
c)
An equation that contains a radical (√) symbol
d)
An equation with no solution
72.

The subscribers to a magazine are numbered. Then a sample of these people is selected using random numbers.

a)
Sequential sampling
b)
Random sampling
c)
Stratified sampling
d)
Convenience sampling
73.

Every 10th bottle of Energized Soda is selected, and the amount of liquid in the bottle is measured.

a)
To count the number of bottles produced
b)
To check the expiration date of the soda
c)

Systematic

d)
To measure the amount of liquid in the bottle.
74.

A researcher divided a group of students according to gender, major field, and low, average, and high grade point average. Then she randomly selectes six students from each group to answer questions in a survey.

a)
To ensure a representative sample for the survey.
b)

Stratified

c)
To make the survey more biased
d)
To exclude certain groups from participating in the survey
75.

Out of 10 hospitals in a municipality, a researcher selects one and collects records for a 24-hour period on the types of emergencies that were treated there.

James says this is totally a Stratified way to collect data since you get one group and gather all the information? Is she right soldier!

a)
I don't know
b)

Yes! She is totally right!

c)
Maybe
d)

No! She did not fully understand that Stratified deals with picking a regular amount of a divide population into groups, which are than picked.The cluster is just one group all picked!

76.


Jeremy wants to perform an experiment to analyze the weights of players on his soccer team. He lists the weights of the players from largest to smallest and takes a sample of the first ten players on the list.

Leonel thinks this is unbiased because he has picked a certain amount of people. Why do you think he thought it was unbiased when it was biased! Write his name into your answer.

a)

Get a hold of this guy?

b)

Leonel, you are so wrong! Jeremy clearly stated that he chose them in an order that would only pick the largest! Its biased based on convince

c)

Leonel, you have mistaken something. It may have not been biased if you just selected a players weight as random, but he did not!

d)

Be respectful and learn

77.

A way to get information, Observations, has keywords such as observing not only people but data. Its similar to Experiment besides it having more control over other variables beside what you can see.

a)
Observations
b)
Conclusion
c)
Survey
d)
Hypothesis
78.

The specific question that you are trying to answer or the specific information you are trying to gather.

a)
The specific question or information you are trying to gather.
b)
The color of the sky
c)
The temperature of the sun
d)
The capital of France
79.

The specific group of people who are participating in the study.

a)
Participants
b)
Audience
c)
Spectators
d)
Observers
80.

When trying to solve for the standard deviation, what equation we use with the mean and the actual data points.

a)

(sqrt)( (actual data - mean)^2)/number of data points)

b)
Area of a circle
81.

If you have zero as one of your actual data, should they count to the number of numbers you divide to find the mean?

a)
Maybe
b)
Yes
c)
No
d)
Only if it's the only number
82.

What is the difference between volunteering and convenience? Can they be similar.

a)
They are different but can have similarities.
b)
There is no difference between the two
c)
Volunteering is more convenient than convenience
d)
They are the same thing
83.

Word questions required word

a)

Answer

b)

Word Answers

84.

Your data isn't skewed if you moved left or right, the problem occurs when the data isn't symmetrical from the mean/mode/median!

a)

Yes

b)

No

85.

Shifting a normal distribution graph left or right has no impact if its normal or not.

a)
Only true for skewed distributions
b)
Partially true
c)
False
d)
True
86.

What are the key differences between observational and survey?

a)
Observational studies involve manipulating the subjects, while surveys involve observing and recording data
b)
Observational studies involve collecting data through direct questioning or interviews, while surveys involve observing and recording data without interfering with the subjects
c)
Observational studies involve experimenting on the subjects, while surveys involve collecting data through direct questioning or interviews
d)
Observational studies involve observing and recording data without interfering with the subjects, while surveys involve collecting data through direct questioning or interviews.
87.

If I were to give someone milk and than I tell them if they liked that milk, is that a survey or observational?

a)
survey
b)
interview
c)
experiment
d)
observational
88.

If I were to want to know if people liked more pizza or not, would observational of the data be more reliable than a survey?

a)
Observational data
b)
Survey data
c)
Interview data
d)
Experimental data