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| Question | Answer |
|---|---|
| Identify the type of data that would be used to describe a response. A Person's Ethnicity | Qualitative (Categorical) |
| Determine if the following is an example of descriptive or inferential statistics. A survey was done asking 300 students how old they are. A histogram was produced to display the results of the survey. | Descriptive Statistics |
| A marketing company is interested in the proportion of people that will buy a particular product. Match the vocabulary word with its corresponding example. | Variable: The answer Yes or No to whether a person bought the product Population: All people in the marketing company's region Data: The list of the 380 Yes or No answers to whether the person bought the product |
| Sample: The 380 randomly selected people who are observed to see if they will buy the product Parameter: The proportion of all people in the company's region who buy the product Statistics: The proportion of the 380 observed people who buy the product | |
| Insurance companies are interested in the average health costs each year for their clients, so that they can determine the costs of health insurance. Match the vocabulary word with its corresponding example. | Statistic: The average health care cost each year for the 400 clients that the insurance company included in this study Variable: The cost each year for health care Sample: The 400 clients that the insurance company included in this study |
| Population: All of the insurance company's clients Parameter: The average health care cost each year for all of the insurance company's clients | |
| Data: The list of the 400 annual health care costs for the clients that the insurance company include in the study | |
| A bank manager is interested in the average length of time that customers are willing to wait in line before they give up and leave the bank. Match the vocabulary word with its corresponding example. | Sample: The 25 customers that the manager observed leave Population: All of the bank's customers Variable: The length of time a customer waits before leaving the bank |
| Data: The list of times for the 25 customers who left the bank Statistic: The average length of time that the 25 customers waited before leaving the bank Parameteer: The average length of time that all customers will wait before leaving the bank | |
| Suppose you want to estimate the percentage of videos on YouTube that are cat videos. It is impossible for you to watch all videos on YouTube so you use a random video picker to select 1000 videos for you. You find that 2% of these videos are cat videos. | a) The percentage of all videos on YouTube that are cat videos is a/an: population parameter b) 2% is a/an sample statistic c) A video in your sample is a/an: observation d) Whether or not a video is a cat video a/an: variable |
| In a study, the sample is chosen by randomly selecting five classes, and surveying all students in each of these five classes What is the sampling method? | cluster |
| In a study, the sample is chosen by surveying every 3rd driver coming through a tollbooth What is the sampling method? | systemic |
| In a study, the data you collect is Habits on a Always/Sometimes/Never scale. What is the level of measurement? | ordinal |
| Does this describe an observational study or an experiment? The temperature on randomly selected days throughout the year were measured | observational study |
| Which of the following are reasons that a sampling technique may not be scientific. Choose all that apply. | People who were asked refused to answer Trying to conclude that there is a cause-and-effect relationship when something else causes both |
| see above question | Two factors cannot be separated to determine which is the one that is responsible for the outcome The graphs are drawn in a way to mislead the reader |
| Would the following method produce a random sample? Selecting a room of the house, and appraising all items in that room | NO |
| If the sample size is much smaller than the population size, say 20 times smaller, then random sampling with replacement and random sampling without replacement are nearly equivalent. | TRUE |
| In a study, the data you collect is car size: compact, midsize, full size, hummer size. What type of data is this? | Qualitative (Categorical) |
| In a study, the data you collect is student id #? What type of data is this? | Qualitative (Categorical) |
| In a study, the data you collect is letter grade (A, B, C, D, F)? | ordinal |
| Data was collected for 300 fish from the North Atlantic. The length of the fish (in mm) Lengths (mm) Frequency 180 - 189 1 190 - 199 16 200 - 209 71 210 - 219 108 220 - 229 83 230 - 239 18 240 - 249 3 What is the lower class boundary | class boundary = 179.5 You would take the smallest number and cut it in half |
| 240 people are asked how many siblings they have? # of Siblings Frequency Relative Frequency Cumulative 0 51 ? ? 1 49 | 0.2125 relative frequency 51 cumulative frequency 53 frequency |
| 110 adults with gum disease were asked the number of times per week they used to floss before th # of times floss Freq Rel Freq Cum Freq 0 ? 0.1273 14 1 | a. Complete the table (Use 4 decimal places when applicable) b. What is the cumulative relative frequency for flossing 3 times per week? 50 |
| Ages Number of students 15-18 2 19-22 9 23-26 8 27-30 2 31-34 8 35-38 8 | Find the relative frequency for the class with lower class limit 23 Relative Frequency = 21.62 Give your answer as a percent, rounded to two decimal places |
| The following data represents the age of 30 lottery winners. 20 34 35 39 39 45 49 49 49 50 51 51 52 52 53 53 54 56 62 65 65 65 66 69 70 72 76 76 77 88 Complete the frequency distribution for the data. | Age Frequency 20-29 1 30-39 4 40-49 4 50-59 9 60-69 6 70-79 5 80-89 1 |
| In a student survey, fifty-two part-time students were asked how many courses they were taking this term. The (incomplete) results are shown below: What percent of students take one courses? 36.54 | # of Cour Freq Relative Freq Cumulative F 1 19 ? 0.3654 ? 19 2 16 0.3077 35 3 |
| In a study, the data you collect is wage per hour. What type of data is this? | Quantitative - Discrete |
| Determine if the following is an example of descriptive or inferential statistics. 300 female Osprey hatch-lings were tracked until they died or succeeded in laying their own eggs. Based on the data, the researchers concluded that somewhere between 12% | Inferential Statistics |
| Identify the type of data that would be used to describe a response. Amount of Body Fat | Quantitative - Continuous |
| A restaurant owner is interested in the proportion of his customers who order dessert. He looks at 65 randomly selected receipts. Match the vocabulary word with its corresponding example. | Variable:Yes or No to whether a customer ordered dessert Statistic: The proportion of the 65 randomly selected customers who ordered dessert Parameter: The proportion of all customers who order dessert |
| Data: The list of the 65 Yes or No answers for whether each customer ordered dessert. Sample: The 65 restaurant patrons whose receipts were observed by the owner Population: All customers who come to the restauran | |
| A marriage counselor is interested in the proportion the clients she counsels that stay married. Match the vocabulary word with its corresponding example. | Sample: The 55 randomly selected clients that were chosen for this study Statistic: The proportion of the 55 randomly selected clients who stayed married Variable:The answer Yes or No to the question on whether a client stayed married |
| Population: All of the counselor's clients Parameter: The proportion of all of the counselor's clients who stayed married Data: The list of Yes or No answers to the question on whether the clients stayed married | |
| In a study, the sample is chosen by choosing every 5th person on a list What is the sampling method? | Systematic |
| Determine whether the following is an example of a sampling error or a non sampling error. 12% of all people are left handed. A researcher randomly selected 200 people and found that 16% of them were left handed. No mistakes were made in the data colle | Sampling error |
| Randomly selecting 20 cards out of a 52 card deck, the probability of each outcome will be basically the same whether it is done with or without replacement. | False |