68, 63, 66, 63, 61, 44, 60, 62, 71, 62, 62, 55, 62, 67, 73, 72, 55, 67, 68, 65,
60, 61, 71, 60, 68, 67, 72, 69, 65, 66
A researcher wants to use these data for inference purposes, but is concerned about whether it is reasonable to treat such data as a random sample. What do you think? Justify your answer.
The eruption times of a geyser are determined by a largely unknown distribution. The eruption times in fact depend upon the accumulation of water and steam bubbles in a side reservoir prior to the eruption. Hence, this is something which depends upon a lot of climatic and surrounding conditions.
Given the eruption times doesn't follow a well-defined distribution, we can't model and predict the eruption times with any reasonable level of accuracy. We simply cannot, with a high and consistent accuracy, predict the parameters of the underlying population (the set of all eruption times). Hence, it is very reasonable to think the sample is a random sample.
The following are 30 time lapses in minutes between eruptions of Old Faithful geyser in Yellowstone National Park, recorded between the hours of 8 a.m. and 10 p.m. on a certain day, and measured from...
8. You and several friends visit the Old Faithful geyser in Yellowstone National Park. You record the interval times between eruptions in minutes. You get the following data. 81 81 86 87 89 92 93 94 95 96 97 98 98 10 10 106 a. How many interval times were recorded? b. What is the mean interval time? Round your answer to two decimal places. c. What is the median interval time? d. Identify the 5-number summary for this data....
3. The U.S. Geological Survey compiled historical data about Old Faithful Geyser (Yellowstone National Park) from 1870 to 1987. Let x1 be a random variable that represents the time interval (in minutes) between Old Faithful eruptions for the years 1948 to 1952. Based on 9,800 observations, the sample mean interval was 62.6 minutes. Let x2 be a random variable that represents the time interval in minutes between Old Faithful eruptions for the years 1983 to 1987. Based on 24,404 observations,...
The U.S. Geological Survey compiled historical data about Old Faithful Geyser (Yellowstone National Park) from 1870 to 1987. Let x1 be a random variable that represents the time interval (in minutes) between Old Faithful eruptions for the years 1948 to 1952. Based on 9160 observations, the sample mean interval was x1 = 62.8 minutes. Let x2 be a random variable that represents the time interval in minutes between Old Faithful eruptions for the years 1983 to 1987. Based on 25,457...
The U.S. Geological Survey compiled historical data about Old Faithful Geyser (Yellowstone National Park) from 1870 to 1987. Let x1 be a random variable that represents the time interval (in minutes) between Old Faithful eruptions for the years 1948 to 1952. Based on 9780 observations, the sample mean interval was x1 = 63.4 minutes. Let x2 be a random variable that represents the time interval in minutes between Old Faithful eruptions for the years 1983 to 1987. Based on 23,585...
Problem 4: Variables that may affect Grades The data set contains a random sample of STAT 250 Final Exam Scores out of 80 points. For each individual sampled, the time (in hours per week) that the student spent participating in a GMU club or sport and working for pay outside of GMU was recorded. Values of 0 indicate the students either does not participate in a club or sport or does not work a job for pay. The goal of...
Student stress at final exam time comes partly from the uncertainty of grades and the consequences of those grades. Can knowledge of a midterm grade be used to predict a final exam grade? A random sample of 200 BCOM students from recent years was taken and their percentage grades on assignments, midterm exam, and final exam were recorded. Let’s examine the ability of midterm and assignment grades to predict final exam grades. The data are shown here: Assignment Midterm FinalExam...
A study investigated the relationship between audit delay (Delay), the length of time from a company's fiscal year-end to the date of the auditor's report, and variables that describe the client and the auditor. The independent variables are as follows. Industry- A dummy variable coded 1 if the firm was an industrial company or 0 if the firm was a bank, savings and loan, or insurance company. Public-A dummy variable coded 1 if the company was traded on an organized...
DATA: ( You will have to paste it to a text editor and format it to be entered into statcrunch - sorry for inconvenience but I could not find another way to post the data) Strategy Code Score C 1 45 C 1 53 C 1 72 C 1 55 C 1 67 C 1 53 C 1 66 C 1 54 C 1 53 C 1 67 C 1 60 C 1 64 C 1 69 C 1 52...
2. Using the data set of the Health Exam Results, conduct the following analysis between the variables of weight (WT) and Body Mass Index (BMI). Number the data set from 1 to 40, and select the following individuals: . Set 1 (Malo): 1, 5, 10, 13, 15, 18, 19, 24, 29, 31, 32, 33 .Set 2 (Fomalo): 4, 9, 15, 16, 17, 22, 23, 29, 33, 37, 38, 40 Draw a scatter diagram of the sample of 12 data set...
You may import the following library functions in your module: from fractions import gcd from math import log from math import floor You may also use: • the .bit_length() method to efficiently obtain the bit length of an integer, • the abs() function for computing the absolute value of an integer, • and the // operator for integer division (you should avoid using / because it does not work for very large integers). Implement the following Python functions. These functions...