WGU C207 Data Driven Decision Making
1. Measuring the housing market in North Carolina when making an inferenceabout the entire
East coast is an example of : Non-
representative Sample
2. Lemonade sales increase when it is warmer than 75 degrees. Weather andlemonade are
: Correlated. "NOT CAUSE"
3. Pulling names from a hat is a tool to create a sample: Random
4. Asking participants to taste test a yellow candy and a blue candy and selectone can create
bias. How can we prevent bias?: Blinding
5. You are taking a survey and the question is leading. It seams advantageousto answer a
specific way. What type of bias is this?: Conscious KEYWORD: Benefit
6. A question is not leading, but you feel your boss might want you to answera specific way:
Response You feel there is an "expected" response and may not answer honestly (no leading )
7. pread of the data: Standard Deviation A normally distributed sample spreadsfrom -3 to +3
standard deviations from the mean
8. We should not use this measure of central tendency alone for decisionsbecause it includes
outliers: Mean
9. The best measure of central tendency when making decisions: Median
10. We use this measure of central tendency if we want to know what happens the most: Mode
(most can also be defined as typical or common)
11. If the mean is 50 and the standard deviation is 5, what is the probability of being between
45 and 55?: 68.2% (of the sample will be within 1 standard deviation of the mean) 50 - 5 = 45 and
50 + 5 + =55
12. What are the three probabilities of the bell curve?: 68.2% 95.4% 99.7%
13. 68.2% of a sample will be within standard deviation of the mean.: 1
14. 95.4% of a sample will be within standard deviations of the mean.: 2
15. 99.7% of a sample will be within standard deviations of the mean.: 3
16. The mean is 20 and the standard deviation is 2, what is the probability of being between
14 and 26: 99.7% (of the sample will be within 3 standard deviationsof the mean) 20 + 2 + 2 + 2
= 26 and 20 - 2 - 2 - 2 = 14
17. can be used to differentiate between two samples with the samemean.:
Variation
18. Which measurement can tell us where a single data point is on the bell curve?: z-score.
(Tip: Remember z for me. Where are you in the curve of your peers)
, 19. You want to know how your height compares to all of your family tree. Howdo you
calculate a z score?: (Your height - the mean of the family tree height) divided by the standard
deviation of the family tree height (me-mean)/standard deviaiton
20. You are 63" tall and the family tree averages 67" with a standard deviation of 2". What is
your z-score?: (63-67)/2 = -2 You are 2 standard deviations shorterthan the family tree.
21. Which measure lets you measure your height compared to your maternalfamily tree and
your height compared to your paternal family tree?: z-scores let us measure two samples by
putting them to the same scale.
22. There are four shopping carts available and one has a broken wheel. Whatis your
probability of selecting the cart with the broken wheel?: 25% (1/4 = 0.25)
23. There is a 20% of parking close to the door and a 30% chance of getting the shopping cart
with a squeaky wheel. How do we calculated the probabilityof both events occurring?:
Multiply Key Words: AND, ALL, BOTH
24. There is a 20% of parking close to the door and a 30% chance of getting the shopping cart
with a squeaky wheel. How do we calculated the probabilityof either event occurring?:
Addition Key Words: OR, EITHER
25. Multiplying two events calculates an : Intersection
26. Adding two events calculates a : Union
27. The grocer is running a 10 for $10 special on cans of soup.You can mix andmatch the 5
different flavors of soup. You decide to purchase 10 cans. What can we use to count all the
possible outcomes of flavors picked?: Combination
28. There is a 90% chance you will have to wait in line for more than 6 minutesto check out at
the grocer. What is the complement?: 10%. If there is a 90% chance of yes, then there is a
10% chance of no. 90% + 10% = 100%
29. 50% chance it will rain. There is a 20% chance you park in the garage in the rain and a 60%
chance you park there if it is not raining. Given you are parked in the garage, what is the
probability it is raining? Which probability techniqueapplies?: Bayes
30. You conduct a quick survey asking friends to rate your new website on ascale of 1 - 10.
Which graph will show how the responses are distributed?: His-togram. Keyword: Distribution
(How many people answered 1, 2, 3.
NOTE: The
histogram is a bar chart
31. You have the number of customers that visit your website by clickingon a promotion
email. Which graph can show you if sales are correlated
to the number of promotional emails each week?: Scatter Diagram Keyword:Correlation or
Relationship
1. Measuring the housing market in North Carolina when making an inferenceabout the entire
East coast is an example of : Non-
representative Sample
2. Lemonade sales increase when it is warmer than 75 degrees. Weather andlemonade are
: Correlated. "NOT CAUSE"
3. Pulling names from a hat is a tool to create a sample: Random
4. Asking participants to taste test a yellow candy and a blue candy and selectone can create
bias. How can we prevent bias?: Blinding
5. You are taking a survey and the question is leading. It seams advantageousto answer a
specific way. What type of bias is this?: Conscious KEYWORD: Benefit
6. A question is not leading, but you feel your boss might want you to answera specific way:
Response You feel there is an "expected" response and may not answer honestly (no leading )
7. pread of the data: Standard Deviation A normally distributed sample spreadsfrom -3 to +3
standard deviations from the mean
8. We should not use this measure of central tendency alone for decisionsbecause it includes
outliers: Mean
9. The best measure of central tendency when making decisions: Median
10. We use this measure of central tendency if we want to know what happens the most: Mode
(most can also be defined as typical or common)
11. If the mean is 50 and the standard deviation is 5, what is the probability of being between
45 and 55?: 68.2% (of the sample will be within 1 standard deviation of the mean) 50 - 5 = 45 and
50 + 5 + =55
12. What are the three probabilities of the bell curve?: 68.2% 95.4% 99.7%
13. 68.2% of a sample will be within standard deviation of the mean.: 1
14. 95.4% of a sample will be within standard deviations of the mean.: 2
15. 99.7% of a sample will be within standard deviations of the mean.: 3
16. The mean is 20 and the standard deviation is 2, what is the probability of being between
14 and 26: 99.7% (of the sample will be within 3 standard deviationsof the mean) 20 + 2 + 2 + 2
= 26 and 20 - 2 - 2 - 2 = 14
17. can be used to differentiate between two samples with the samemean.:
Variation
18. Which measurement can tell us where a single data point is on the bell curve?: z-score.
(Tip: Remember z for me. Where are you in the curve of your peers)
, 19. You want to know how your height compares to all of your family tree. Howdo you
calculate a z score?: (Your height - the mean of the family tree height) divided by the standard
deviation of the family tree height (me-mean)/standard deviaiton
20. You are 63" tall and the family tree averages 67" with a standard deviation of 2". What is
your z-score?: (63-67)/2 = -2 You are 2 standard deviations shorterthan the family tree.
21. Which measure lets you measure your height compared to your maternalfamily tree and
your height compared to your paternal family tree?: z-scores let us measure two samples by
putting them to the same scale.
22. There are four shopping carts available and one has a broken wheel. Whatis your
probability of selecting the cart with the broken wheel?: 25% (1/4 = 0.25)
23. There is a 20% of parking close to the door and a 30% chance of getting the shopping cart
with a squeaky wheel. How do we calculated the probabilityof both events occurring?:
Multiply Key Words: AND, ALL, BOTH
24. There is a 20% of parking close to the door and a 30% chance of getting the shopping cart
with a squeaky wheel. How do we calculated the probabilityof either event occurring?:
Addition Key Words: OR, EITHER
25. Multiplying two events calculates an : Intersection
26. Adding two events calculates a : Union
27. The grocer is running a 10 for $10 special on cans of soup.You can mix andmatch the 5
different flavors of soup. You decide to purchase 10 cans. What can we use to count all the
possible outcomes of flavors picked?: Combination
28. There is a 90% chance you will have to wait in line for more than 6 minutesto check out at
the grocer. What is the complement?: 10%. If there is a 90% chance of yes, then there is a
10% chance of no. 90% + 10% = 100%
29. 50% chance it will rain. There is a 20% chance you park in the garage in the rain and a 60%
chance you park there if it is not raining. Given you are parked in the garage, what is the
probability it is raining? Which probability techniqueapplies?: Bayes
30. You conduct a quick survey asking friends to rate your new website on ascale of 1 - 10.
Which graph will show how the responses are distributed?: His-togram. Keyword: Distribution
(How many people answered 1, 2, 3.
NOTE: The
histogram is a bar chart
31. You have the number of customers that visit your website by clickingon a promotion
email. Which graph can show you if sales are correlated
to the number of promotional emails each week?: Scatter Diagram Keyword:Correlation or
Relationship
