{"id":120998,"date":"2023-10-04T22:01:55","date_gmt":"2023-10-04T22:01:55","guid":{"rendered":"https:\/\/learnexams.com\/blog\/?p=120998"},"modified":"2023-10-04T22:01:57","modified_gmt":"2023-10-04T22:01:57","slug":"wgu-c207-data-driven-decision-making-exams-wgu-c207-pre-assessment-wgu-c207-final-latest-2023-2024-updates-study-pack-with-complete-solutions-questions-with-verified-answers-100-correct","status":"publish","type":"post","link":"https:\/\/www.learnexams.com\/blog\/2023\/10\/04\/wgu-c207-data-driven-decision-making-exams-wgu-c207-pre-assessment-wgu-c207-final-latest-2023-2024-updates-study-pack-with-complete-solutions-questions-with-verified-answers-100-correct\/","title":{"rendered":"WGU C207 Data-Driven Decision Making Exams\/WGU C207 Pre- Assessment\/WGU C207 Final (Latest 2023\/ 2024 Updates STUDY PACK WITH COMPLETE SOLUTIONS) Questions with Verified Answers- 100% Correct"},"content":{"rendered":"\n<p>WGU C207 Data-Driven Decision Making<br>(Latest 2023\/ 2024 Update) Vocabularies with<br>Verified Definitions- 100% Correct<br>V: Independent Events<br>Answer:<br>Events that are not effected by other trials or events,<br>V: Complimentary events<br>Answer:<br>Events with two outcomes that are the only possible outcome. Like flipping a coin.<br>V: Conditional Probability<br>Answer:<br>The probability of an event occurring, given that another event has already occurred.<br>P(B|A) = P(A and B)\/P(A)<br>V: Dependent Events<br>Answer:<br>An event that is affected by the previous events.<br>V: Probability of an Intersection<br>Answer:<\/p>\n\n\n\n<p>The probability of two independent events happening.<br>P(A\u2229B) = P(A) x P(B)<br>V: Probability of a Union<br>Answer:<br>The collection of elements that are both A, B or both A and B.<br>P (AUB) = P (A) + P (B) &#8211; P (A\u2229B)<br>V: Mutually Exclusive Events<br>Answer:<br>When two or more events are not able to occur at the same time<br>V: Multiplication Principle<br>Answer:<br>When the probabilities of multiple events are multiplied together to determine the likelihood of<br>all the event occurring.<br>V: Inferential Statistics<br>Answer:<br>Statistics that are used to make predictions about a population from observations of a sample<br>V: Descriptive Statistics<br>Answer:<br>Used to describe a population from observations of that whole population<\/p>\n\n\n\n<p>V: Sampling with Replacement<br>Answer:<br>A technique used when each piece of the population can be selected more than once.<br>If sampling with replacement and taking a sample of size n from a population of z, there are z^n<br>possible outcomes.<br>V: Sampling without Replacement<br>Answer:<br>A technique used when each piece of the population can only be selected once.<br>If you take a sample size of n without replacement, there are usually n! (n factorial) possible<br>outcomes. i.e. n! = 6! = 6 x 5 x 4 x 3 x 2 x 1 = 720<br>V: Permutations<br>Answer:<br>The number of unique ordered possibilities for a certain situation. nPk=n!\/(n-k)!<br>i.e. n= Number of people P= permutations k= number of available seats<br>V: Factorial Operation<br>Answer:<br>n! or i.e. 5!=5<em>4<\/em>3<em>2<\/em>1=120<br>or<br>3!=3<em>2<\/em>1=6<br>V: Combination<br>Answer:<\/p>\n\n\n\n<p>The number of unique possibilities for a certain situation. nCk aka the binomial coefficient<br>n!\/k!(n-k)!<br>V: Baye&#8217;s Theorem<br>Answer:<br>If you know the probability of event A, the probability of event B, and the conditional<br>probability of event A given event B, we can determine the probability of event B given event A.<br>P(A|B) = P(B|A)*P(A) \/ P(B)<br>V: Conditional Probability<br>Answer:<br>The probability of an event occurring given that another event has occurred.<br>V: Population variance<br>Answer:<br>where:<br>\u03c32 = the population variance<br>\u03bc = the population mean<br>\u2211(x &#8211; \u03bc)2 = the sum of the squared differences between each data point and the mean. That is,<br>you square each data point&#8217;s difference from the mean, then add these squared numbers together<br>N= the size of the population<br>V: Population Standard Deviation<br>Answer:<br>where:<br>\u03c32 = the population variance<br>\u03bc = the population mean<br>\u2211(x &#8211; \u03bc)2 = the sum of the squared differences between each data point and the mean. That is,<br>you square each data point&#8217;s difference from the mean, then add these squared numbers together<\/p>\n\n\n\n<p>WGU C207 Pre- Assessment Data-Driven<br>Decision-Making Exam (Latest 2023\/ 2024<br>Update) Questions and Verified Answers100% Correct<br>Q: A hardware store has found that there is a 0.25 probability that a customer buys an electrical<br>product, a 0.45 probability that a customer buys a plumbing product, and a 0.10 probability that a<br>customer buys an electrical product if they purchase a plumbing product Which statistical rule<br>can be used to determine the probability that a customer buys a plumbing product given that this<br>customer has purchased an electrical product?<br>Combination<br>Multiplication<br>Conditional probability<br>Bayes&#8217; theorem<br>Answer:<br>Bayes&#8217; theorem<br>Q: Given the following data set<br>9, 12, 14, 10, 8, 11, 12<br>What is the mode? 8<br>9<br>11<br>12<br>Answer:<br>12<br>Q: Which graphical tool is used to illustrate a possible relationship or correlation between two<br>variables?<br>Run chart Scatterplot Box plot<br>Histogram<\/p>\n\n\n\n<p>Answer:<br>Scatterplot<br>Q: What does it mean when an individual data point has a z-score of -2? The data point is two<br>standard deviations less than the mean of the data set. The sample standard deviation of the data<br>set is negative.<br>The data point is equal to the mean of the data set<br>The data point is greater than the mean of the data set.<br>Answer:<br>The data point is two standard deviations less than the mean of the data set<br>Q: A research study examined the impact of product advertisement ex- posure on that product&#8217;s<br>brand awareness. The appropriate statistical test indicates that the null hypothesis should be<br>rejected at the 5% significance level.<br>What can be concluded from this study?<br>Five percent of the subjects did not like the advertisement<br>The advertisement was effective in building brand awareness. The advertisement was effective in<br>increasing sales.<br>Ninety-five percent of the subjects liked the brand.<br>Answer:<br>The advertisement was effective in building brand awareness.<br>Q: A manager analyzes a data set that includes information on individual incomes. The<br>manager knows that the data set is fairly representative of the general population and includes<br>several millionaires.<br>Based on this data set, which measure of central tendency best represents the middle of the<br>distribution?<br>Median<br>Mean<br>Frequency<br>Mode<br>Answer:<br>Median<\/p>\n\n\n\n<p>Q: After evaluating manufacturing times for a particular product, a man- ager determines that<br>the times are spread out across the distribution. The manager has been asked to determine how<br>far, on average, the time is from the mean.<br>Which statistic roughly measures the average distance of a data point from the mean of the<br>distribution?<br>Mode<br>Standard deviation<br>Median<br>Arithmetic mean<br>Answer:<br>Standard deviation<br>Q: The number of customers that an automobile service shop receives on any given day is<br>normally distributed with a mean of 75 and a standard deviation of 25 On a given day, 125 oil<br>changes are performed. probability on a given day of 125 or fewer oil changes performe<br>97.7% 67%<br>68.5%<br>99%<br>Answer:<br>97.7%<br>Q: A nonprofit organization ran an e-mail campaign with three different messages to solicit<br>additional donations. What should the nonprofit organization use to determine if the average<br>donation differs for the different messages?<br>Median ANOVA Mean<br>T-test<br>Answer:<br>ANOVA<br>Q: A manager of a call center is in charge of creating a staffing plan. The number of calls<br>received per day is normally distributed.<\/p>\n\n\n\n<p>WGU C207 Data-Driven Decision-Making<br>Exam (Latest 2023\/ 2024 Update) Questions<br>and Verified Answers- 100% Correct| Grade<br>A<br>Q: What is the process of quality control?<br>Answer:<br>Reduce\/ minimize errors<br>Q: All variable measurements and manipulations are under the researcher&#8217;s control<br>Answer:<br>Experimental study<br>Q: Used when impractical or impossible to control the conditions of the study<br>Answer:<br>Observational study<br>Q: Participants are not told if they are in the treatment group or control group<br>Answer:<br>Blind Study<br>Q: The procedure the researcher applies to each subject<\/p>\n\n\n\n<p>Answer:<br>Treatments<br>Q: Neither the treatment allocator nor the participants know who is in the treatment group or<br>control group<br>Answer:<br>Double blind study<br>Q: Questions favor and outcome or the interviewer ask questions that favor an outcome.<br>Answer:<br>Information Bias<br>Q: The average outcome (payoff) when the future includes scenarios that may or may not<br>happen<br>Answer:<br>Expected Monetary Value (EMV) Analysis<br>Q: Observation points that are distant from other observations.<br>Answer:<br>Outliers<br>Note: Can be included or excluded in analysis (causes skewness)<br>Q: Bias that occurs from not selecting a random sample<br>Answer:<\/p>\n\n\n\n<p>Measurement bias<br>Q: Bias introduced because respondents believe it will be beneficial if selected.<br>Answer:<br>Conscious bias<br>Q: Middle score for a set of data<br>Answer:<br>Median<br>Note: Skewness does not affect the median<br>Q: Tells us the number of standard deviations a data point is from the mean.<br>Answer:<br>Z-score = (Value &#8211; Mean) \/ Std Deviation<br>Q: If the average is the same for two groups, what will determine their difference?<br>Answer:<br>Variance (Standard Deviation)<br>Q: The spread of data in a sample. How far the data points are from the mean.<br>Answer:<br>Standard deviation<\/p>\n\n\n\n<p>Q: Measure of central tendency that is influenced by the size of the values in a dataset<br>Answer:<br>Mean<br>Note: Skewness does affect the mean<br>Q: Each of the four quartile groups a population can be divided<br>Answer:<br>Quartiles<br>Q: Measures the difference between the third and first quartile<br>Answer:<br>IQR: Inter-quartile range<br>Note: Must be ordered in lowest to highest value<br>Q: Used to study the composition of a data set and examine the distribution<br>Answer:<br>Box Plot<br>Q: There are six toll booths to enter the highway. What probability does each toll booth worker<br>have of getting the next customer?<br>Answer:<br>1 customer and 6 booths = 1\/6 or 16.7%<br>Q: The order you pick you sample in does not matter<\/p>\n\n\n\n<p>WGU C207 Data-Driven Decision-Making<br>Final Exam (Latest 2023\/ 2024 Update)<br>Questions and Verified Answers- 100%<br>Correct| Already Grade A<br>Q: You survey 100 New Yorkers about their preference for New York-style or Chicago-style<br>pizza. What would be wrong with this?<br>Answer:<br>You would encounter measurement bias<br>Q: Cleaning and organizing collected raw data refers to?<br>Answer:<br>data management<br>Q: The science of using mathematical procedures to describe data is <strong><em>__<\/em><\/strong>.<br>Answer:<br>statistics<br>Q: Suppose you wanted to measure the air quality in cities with a higher proportion of bicycle<br>riders to drivers. What kind of study might you use?<br>Answer:<br>observational study<\/p>\n\n\n\n<p>Q: Suppose you were to use analytics in an experiment to determine how many salespeople to<br>assign to particular sales territories based on the makeup and performance of the territories in the<br>results of the experiment. You would be using which kind of analytics?<br>Answer:<br>Prescriptive<br>Q: Suppose you employed analytics to determine which sales territories had shown the most<br>profitable growth in the last four quarters and would most likely do so again in the future. You<br>would be using which kind of analytics?<br>Answer:<br>Predictive<br>Q: Suppose you were making a simplified representation of a complex problem in order to<br>solve it, which stage of the Three Stage Model would you be in?<br>Answer:<br>Solving the problem<br>Q: Assume you are measuring the various returns on investment, over the past year, for four<br>different stocks in your portfolio. You find the following values (each as a percent of your<br>investment): 4.68, 5.65, 3.78, -0.46, 6.91. What kind of data are these data points?<br>Answer:<br>continous data<br>Q: Bethany notices that her husband is wearing a blue sweater on Tuesday. She cannot<br>remember what he has worn previous Tuesdays. The next Tuesday she notices he is wearing<br>another blue sweater. She concludes that if it is Tuesday he will wear a blue sweater having data<br>from her experiment to support this. What is the flaw with this experiment?<\/p>\n\n\n\n<p>Answer:<br>Small sample size<br>Q: Doctor Andrews has been trying to measure likelihood of heart attack risk. Doctor Andrews<br>decides to monitor hair length in people to determine those at high risk of heart attack. What is<br>the flaw with this experiment?<br>Answer:<br>Operationalization<br>Q: Mr. Wonka notices that the last twenty times he invented a new chocolate candy, his major<br>competitors, Count Chocula and the Easter Bunny, have big sales in late October. Mr. Wonka<br>feels directly responsible for the profit of his competitors. What is the flaw with this experiment?<br>Answer:<br>Association vs. causation<br>Q: Standard deviation measures<br>Answer:<br>the dispersion from the average for the data set.<br>Q: Jane works for a public health company. She is working on an anti-tobacco campaign and is<br>interested in how smoking cigarettes affects a smoker&#8217;s cholesterol. She could use the number of<br>cigarettes smoked per day as her <em>variable and place it on the _<\/em>-axis.<br>Answer:<br>Independent and x<br>Q: What is not a technique a manager uses when forecasting?<\/p>\n\n\n\n<p>Answer:<br>Transitive<br>Q: A trend is a\u2026<br>Answer:<br>a general slope upward or downward over a long period of time.<br>Q: If there is a relationship between variables, but the relationship is not linear, what possible<br>challenge with regression could it be?<br>Answer:<br>Polynominal regression<br>Q: A Monte Carlo simulation runs many <strong><em><strong><em>_<\/em><\/strong> after<\/em><\/strong> have been made about<br>the probability of different outcomes.<br>Answer:<br>iterations, assumptions<br>Q: How do you determine the early finish date for an activity in a network diagram?<br>Answer:<br>Add the duration of the activity to the early start date<br>Q: A team has just completed its cause-and-effect diagram and now wants to decide which of<br>the root causes that they uncovered is the key driver to focus on, as they develop a solution to<br>their problem. What tool should they use?<\/p>\n\n\n\n<p>WGU C207 Data-Driven Decision Making<br>Exam (Latest 2023\/ 2024 Update) Guide with<br>Verified Answers- 100% Correct<br>Q: The probability that a random variable will be found at a value less than or equal to a given<br>number<br>Answer:<br>Cumulative distributions<br>Q: A measure of the extent to which customers are satisfied with the products and related<br>services they received from a supplier.<br>Answer:<br>Customer satisfaction<br>Q: The total elapsed time to move a unit of work from the beginning to the end of a physical<br>process, as defined by the producer and the customer.<br>Answer:<br>Cycle time<br>Q: Repetition of up (peaks) or down movements (troughs) that follow or counteract a business<br>cycle that can last several years<br>Answer:<br>Cyclicality<br>Q: The management, including cleaning and storage, of collected data.<\/p>\n\n\n\n<p>Answer:<br>Data Management<br>Q: the process of discovering patterns in large data sets; performed on big data to decipher<br>patterns from these large databases<br>Answer:<br>Data Mining<br>Q: A collection of related data records on a storage device.<br>Answer:<br>Data Set<br>Q: A decision making model developed by Thomas Davenport and Jinho Kim that consists of<br>three stages: framing the problem, solving the problem, and communicating results<br>Answer:<br>Davenport Kim Three Stage Model<br>Q: The variable whose value depends on one or more variables in the equation; typically the<br>cost or activity to be predicted<br>Answer:<br>Dependent Variable<br>Q: A category of customer used in the calculation of the Net Promoter Score that indicates an<br>unhappy customer.<\/p>\n\n\n\n<p>Answer:<br>Detractor<br>Q: Data that can only take on whole values and has clear boundaries<br>Answer:<br>Discrete Data<br>Q: A study performed where neither the treatment allocator nor the participant knows which<br>group the participant is in<br>Answer:<br>Double Blind Study<br>Q: Net income (after taxes) earned in excess of the amount of net income required to earn the<br>company&#8217;s cost of capital.<br>Answer:<br>Economic Value Added (EVA)<br>Q: study of the incidence, distribution and possible control of diseases and other factors relating<br>to health<br>Answer:<br>Epidemiology<br>Q: An outcome that occurs<br>Answer:<\/p>\n","protected":false},"excerpt":{"rendered":"<p>WGU C207 Data-Driven Decision Making(Latest 2023\/ 2024 Update) Vocabularies withVerified Definitions- 100% CorrectV: Independent EventsAnswer:Events that are not effected by other trials or events,V: Complimentary eventsAnswer:Events with two outcomes that are the only possible outcome. Like flipping a coin.V: Conditional ProbabilityAnswer:The probability of an event occurring, given that another event has already occurred.P(B|A) = P(A [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[25],"tags":[],"class_list":["post-120998","post","type-post","status-publish","format-standard","hentry","category-exams-certification"],"_links":{"self":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/posts\/120998","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/comments?post=120998"}],"version-history":[{"count":0,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/posts\/120998\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/media?parent=120998"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/categories?post=120998"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.learnexams.com\/blog\/wp-json\/wp\/v2\/tags?post=120998"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}