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- 10) An airline recorded the number of on-time arrivals for a sample of 100 flights each day. The boxplot below summarizes the records data for one year. 70 80 90 100 Number of On-Time Arrivals Based on the boxplot, which of the following statements must be true? (A) The range of the number of on-time arrivals is greater than 90. (B) The interquartile range of the number of on-time arrivals is 22. (C) The number of days that had at least 80 on-time arrivals is greater than the number of days that had at most 76 on-time arrivals. (D) The number of days that had from 76 to 80 on-time arrivals is equal arrivals. (E) The difference between the median and the lower quartile for the number of on-time arrivals is less than 2. the number of days that had at 76 on-time 11) Which of the following can outliers affect significantly? I. Mean II. Median III. Standard deviation IV. Range V. Interquartile range (A) I, III, and V (B) II and IV (C) I and V (D) I, III, and IV (E) None of these choices…You may need to use the appropriate appendix table or technology to answer this question The mean number of sick days an employee takes per year is believed to be about 10. Members of a personnel department do not believe this figure. They randomly survey & employees. The number of sick days they took for the past year are as fo 11:5, 14, 4; 10 215 5. Let x the number of sick days they took for the past year. Should the personnel team believe that the mean number is about 107 Conduct a hypothesis est at the 3% State the nul and alterative hypotheses (n days) (Enter for as needed) M₂ MA What is the best statatic) (Round your answer to two decimal places) What are the critical values)? ( using the detribution round your answers) to two decimal places, et distration round your answers) to three decinal places. Enter NONE for any unused answer bank) uppertal What is the decision of the test and what conclusions can be down At the At the level of significance we would fail to reject H, and…O O O Less than 8 8. A sample of 400 Goshen households is selected and several variables are recorded. Which of the following statements is correct? * O Total household Income is a ratio level data. Socioeconomic status (recorded as "low income", "middle income", or "high income" is nominal level data. O The number of people living in a household is a continuous variable. O The primary language spoke in the household is ordinal level data.
- Paul wants to estimate the mean number of siblings for each student in his school. He records the number of siblings for each of 100 randomly selected students in the school. What is the parameter?Set 3 0 2 0 1 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 2 0 1 0 0 0 4 1 0 0 1 0 0 0 1 0 Assume that the third set below are data from a survey of riders of a city bus system. Each rider was asked to indicate the number of times he or she had taken a bus on a Sunday during the previous month. Prepare a graphical representation of the relative frequency data.The numbers of students in the 10 schools in a district are given below. (Note that these are already ordered from least to greatest.) 204, 250, 255, 262, 274, 311, 369, 381, 389, 415 Send data to calculator Suppose that the number 204 from this list changes to 304. Answer the following. (a) What happens to the mean? It decreases by U O It increases by O It stays the same. (b) What happens to the median? O It decreases by O It increases by O It stays the same.
- Assume we have data on all of the the students in our class. There are 25 students in the class. There are 4 seniors in the class and there are 6 juniors. What is the cumulative relative frequency of juniors and seniors?Which of the following is not equivalent to the other three? Choose the correct answer below. O Dependent variable Independent variable 000 O Predictor variable O Explanatory variableThere are five numbers in a data set. They are 3, 1, 16, 20 and x, where x is one of the largest two number of the five. What value does x need to be so that the median of the five numbers equals the mean of the five numbers?
- 1:15 (a) Which variable is the explanatory variable? OA. One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. Ay 4500- 000 1000 mylab.pearson.com/ + ® : 3 4500 Data Table Q Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Print ||| OB. r= 0.899 (Round to three decimal places as needed.) = AX 4500- 1000+++ 150 750 Q (c) Determine the linear correlation coefficient between square footage and asking price. Done Ay 750- Vo) 1 LTE2 150- O 1000 Selling Price ($000s), y D 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4 4500 .... .... Q X D. Ay 750- 41% 150+ 1000 4500If the following seven scores are ranked from smallest to largest, then what rank should be assigned to a score of X = 1? Scores: 1, 1, 1, 1, 3, 6, 6, 6, 9