A. Complete the following statements by writing the correct word.1. A variable whose value is obtained by counting data is called2. A variable whose value is obtained by measuring is called3. A variable that can be discrete or continuous is4. Time it takes to get to school is an example of5. Number of heads in flipping coins is an example ofB. Complete the table below.ExperimentNumber X or theTypes of RandomRandom Variable XVariable1. Number of rings before the phone isanswered2. Teacher ask the students to finish thetest after an hour3. Number of complaints per day4. Height of the tallest building in LucenaCity5. NumberofMobilephonesinahousehold

A. 1. Discrete variable 2. Continuous Variable 3. Random variable 4.Continuous Variable…

A. Complete the following statements by writing the correct word. 1. A variable whose value is obtained by counting data is called 2. A variable whose value is obtained by measuring is called 3. A variable that can be discrete or continuous is 4. Time it takes to get to school is an example of, 5. Number of heads in flipping coins is an example of

A. Complete the following statements by writing the correct word. 1. A variable whose value is obtained by counting data is called 2. A variable whose value is obtained by measuring is called 3. A variable that can be discrete or continuous is 4. Time it takes to get to school is an example of, 5. Number of heads in flipping coins is an example of

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3. The number of goals scored by Wayne Gretzky was recorded for seasons 1978 – 1999. (Please note the data set has been ordered from smallest to the largest for your convenience). 5, 9, 11, 16, 23, 23, 31, 38, 40, 40, 41, 46, 51, 52, 54, 55, 62, 71, 73, 87, 92 A. Construct a stem-and-leaf display for the data and describe the shape of the distribution (symmetric, skewed left, skewed right, bell-shaped, etc., any obvious outliers). B. What is the fraction of the data that is less than or equal to 31? C. Given that Ex, = 920 and Ex = 52 436 find the mean and standard deviation. D. Find the (i) median, (ii) Q1, (iii)Q:, (iv) the interquartile range (IQR), (v) the lower and upper fences. E. Construct a Box-plot for the data. What are your conclusions about the shape of the distribution? Compare with the results in Part A. F. Would the mean or the median be the most suitable measure to use to represent the central location of this distribution? Give reasons for your answer.
State, whether the quantity described, is a parameter or a statistic and give the correct notation. The proportion of all college students in the US, using data from the US Census. A. It is neither a parameter nor a statistic. The notation is alfa. B. It is a sample statistic. The notation is x-bar. C. It is a population parameter. The notation is p.
a. Which measure of association would be most appropriate for these variables? b. What is the value of the measure of association? c. What is the strength of the association? d. Would be appropriate to interpret a direction for the association? If so, which direction is the association between the two variables?
Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate for the data below. Types of restaurants (fast food, organic food, sea food, etc.) Choose the correct answer below. A. The interval level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is no natural starting point. O B. The nominal level of measurement is most appropriate because the data cannot be ordered. OC. The ordinal level of measurement is most appropriate because the data can be ordered, but differences (obtained by subtraction) cannot be found or are meaningless. O D. The ratio level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is a natural starting point.
2. The boxplot below represents data collected on some variable of interest. The mean of this data set is 51. The vertical line represents some value which we will call "X". In the table below there are ten numbers, ordered from smallest to largest. For parts a. through f., write down the number that matches the appropriate value from the table. No number will be used more than once, and four numbers will not be used at all. X : 40 45 50 55 60 - 5.9 - 0.63 0.69 5.1 17.8 20.5 48.5 51.9 53.6 56.3 a. Q1 (25th percentile) = b. Median = c. Range = d. Q3 (75th percentile) = e. IQR = f. Proportion of data larger than X= 1
D. Give your own examples: 24.Dependent Variable: Independent Variable: 25. Dependent Variable: Independent Variable:
INSTRUCTION: Based on the given set of data, answer the following questions:
1. Describe in detail what the H0 and H1 are. 2. If this data were to be on a scatterplot, which variable would be x and which would be y? explain why.
Determine the level of measurement of the variable. a. an officer's rank in the military. (Captain, Major, Lieutenant Colonel, ...) a. weight of rice bought by a customer. b. a student's favorite sport. c. Number on the football player jersey. d. Temperature
kindly answer the following questions and explain it in detailed how you come up with that answer.
a.Consider the two variables, High School GPA and Average Annual Earnings in Adulthood. Which isdependent?b. Describe the relationship between High School GPA and Average Annual Earnings in Adulthood. Is thecorrelation positive or negative? (Write at least two sentences.)c. Does a person’s High School GPA cause them to earn a certain salary in adulthood? Explain.
Also construct a Pareto chart