Choose the best description for the given variable:a. country of birthO qualitative-nominalO quantitative-ordinalO qualitative-continuousO quantitative-continuousO quantitative-nominalO quantitative-discreteO qualitative-ordinalb. period of birth (before 1991/ between 1991 and 2001/after 200i)O quantitative-discreteO qualitative-ordinalO quantitative-nominalO qualitative-continuousO quantitative-ordinalO qualitative-nominalO quantitative-continuousSubmit QuestionMacBook Prc000esc000F1F2F3F4F5F6() R 回风

Given, country of birth Period of birth

Answered: Choose the best description for the…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The Crude Mortality Rate in Community A was higher than the Crude Mortality Rate in Community B, but the Age-Adjusted Mortality Rate was higher in Community B than in Community A. What does this information indicate? * O The investigators made a calculation error. No inferences can be made about the comparative age of the populations from these data. O The population of Community B is, on the average, older than that of Community A. O The population of Community A is, on the average, older than that of Community B.
write your answers clearly in 12-pt blue font on the line underneath the problem like this. The following table includes two variables: sleep duration in hours and number of driving errors for 10 different truck drivers. Use the data set to answer the following questions. Sleep Duration (Hours) Driving Errors 0 21 1 19 2 15 3 15 4 14 5 12 6 9 7 7 8 4 9 10 11 5 2 1. Create a scatterplot of sleep duration (x) versus errors (y). Copy and paste the scatterplot as your answer. 2. Fit a linear regression model to sleep duration and driving errors. Copy and paste the Model Summary, ANOVA, and Coefficients table as your answer. 3. What is the value of the correlation coefficient between sleep duration and driving errors? 4. Is the regression analysis statistically significant? What is the test statistic, degrees of freedom, and p-value that supports your answer? 5. State the regression equation. 6. We are 95% confident that the true population slope parameter will fall between which two…
Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…
The data show the test results from students in two classrooms, one integrated and one not. There are two sets of test scores, a pre-test and a post-test for both groups. First, calculate a measure of change in the test scores for students in both groups. Then, use the resulting measure of change to compare both groups on the measure of change from the pre-test to the post-test. When finished, write a short summary of what you found, including: Group 1 mean Group 2 mean Ho and H1 t-observed t-critical
The independent variable in either a before/after t or a within subjects F is always of what data scale
The average income in the state of California is a population parameter. True or False?
Ocean currents are important in studies of climate change, as well as ecology studies of dispersal of plankton. Drift bottles are used to study ocean currents in the Pacific near Hawaii, the Solomon Islands, New Guinea, and other islands. Let x represent the number of days to recovery of a drift bottle after release and y represent the distance from point of release to point of recovery in km/100. The following data are representative of one study using drift bottles to study ocean currents. x days 75 79 35 91 203 y km/100 14.2 19.1 5.8 11.2 35.4 (a) Verify that Σx = 483, Σy = 85.7, Σx2 = 62,581, Σy2 = 1978.69, Σxy = 10982.3, and r ≈ 0.94895. Σx Σy Σx2 Σy2 Σxy r (b) Use a 1% level of significance to test the claim ρ > 0. (Use 2 decimal places.) t critical t (c) Verify that Se ≈ 4.1118, a ≈ 0.7378, and b ≈ 0.1698. Se a b
Refer to the table to the right summarizing measured amounts of serum cotinine (ng/mL) from a sample of smokers. When nicotine is absorbed by the body, cotinine is produced. How many subjects are included in the summary? Is it possible to identify the exact values of all of the original cotinine measurements? Cotinine (ng/mL) 0-99 100-199 200-299 300-399 400-499 How many subjects are included in the summary? (Type a whole number.) Is it possible to identify the exact values of all of the original cotinine measurements? Frequency 10 14 15 3 2 OA. Yes. The exact data values are equally spaced numbers between the limits of each class. The number of equally spaced numbers is determined by the frequency in each class. OB. No. A frequency table only shows percentages of the sample in each category. OC. No. A frequency table only shows frequencies of data values in each category. OD. Yes. The data values are the frequencies shown in the table.

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