1. Identify whether the variable in the information below is qualitative or quantitative. A nursecollects blood from kids and measure their blood-sugar content. This measure of blood-sugarconcentration is avariable.a. quantitativeb. qualitativec. qualitative as well as quantitatived. neither qualitative nor quantitative2. Identify the technique for gathering data in the study below.A pharmaceutical firm wantstest the effectiveness of a new drug. It wants to know if the newdrug is significantly stronger than the conventional drug. This is a/anstudy.a. observationalb. experimentalc. censusd. sampling3. You want to plot a frequency graph of daily rainfall, with rainfalls (inches) on the horizontalaxis. You will use aa. bar chartb. histogramc. cumulative frequencyd. best fit line4. Frequency of categorical data are displayed using aa. bar chartb. histogramc. time series graphd. best fit line

We have to choose the correct option1. Identify whether the variable in the information below is…

Answered: 1. Identify whether the variable in the…

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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A study was done to assess the ash content in peat moss used for textile fiber. High ash content affects the quality of the textile. The following data are measurements of the percentage of ash by weight. 0.5 1.8 4.0 1.0 2.0 1.1 1.6 2.3 3.5 2.2 2.0 3.8 3.0 2.3 1.8 3.6 2.4 0.8 3.4 1.4 1.9 2.3 1.2 1.9 2.3 2.6 3.1 2.5 1.7 5.0 1.3 3.0 2.7 1.2 1.5 3.2 2.4 2.5 1.9 3.1 2.4 2.8 2.7 4.5 2.1 1.5 0.7 3.7 1.8 1.7 We know that the data are somewhat skewed. Does this affect the accuracy of the conclusions in 99% confidence interval and hypothesis that the mean is less than 2.70(α = 0.01)? Hint: think about the sample size.
What is the coefficient of determination for two variables that have perfect positive linear correlation or perfect negative linear correlation? Interpret your answer. Choose the correct answer below. O A. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or 0, respectively. This means 100% of the variation in the response variable is explained by the variation in the explanatory variable. O B. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respectively. In either case the coefficient of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the explanatory variable. O C. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respectively. In either case the coefficient of determination is 1, which means 0% of the…
1. Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below 12 10 2. 140 150 160 170 180 190 200 210 amount of sugar (mg) How many individuals are represented in the histogram? Frequency
Mr. Friend noticed that meetings tended to start late when there were a lot of people in attendance and decided to study that relationship. He collecting data on the number of people who were attending each meeting and the number of minutes late that the meeting started. He noticed there was one point that seemed unusual, so he removed it from the data set. What is true about the point that was removed? a. the point is not unusualb. It is an influential observationc. It has the largest residuald. The slope changes little when the point is removedSelected:e. The correlation is lower with the removal of the point
8.6 Cherry Trees: Timber yield is approximately equal to the volume of a tree, however, this value is dilfficult to measure without fiOrst cutting the tree down. Instead, other variables, such as height and diameter, may be used to predict a tree's volume and yield. Researchers wanting to understand the relationship between these variables for black cherry trees collected data from 31 such trees in the Allegheny National Forest, Pennsylvania. Height is measured in feet, diameter in inches (at 54 inches above ground), and volume in cubic feet. (Hand, 1994) Estimate Std. Error t value P(>|t|) (Intercept) -57.99 8.64 -6.71 0.00 height 0.34 0.13 2.61 0.01 diameter 4.71 0.26 17.82 0.00 (a) Write the regression model (please do not round coefficients): Ey = + 7. height + diameter (b) Keeping diameter constant, how much additional volume should we expect from an average tree if height is increased by 1 foot? cubic feet (c) Are each of the predictors, "height" and "diameter" significant…
The key measure of disease occurrence for assessing risk of a disease: Question 13 options: is primarily incidence data. is primarily prevalence data. could equally be both incidence and prevalence data. is neither incidence data nor prevalence data.
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3. Which of the following is a quantitative variable? a. The brand of a cell phone b. The major of a college graduate c. A person's favorite hobby d. The blood pressure of a patient 4. In experimental and observational studies, data is collected: a. From public or private sources b. By ourselves for a specific purpose c. Out of the internet d. From the library
The table below shows the number of state-registered automatic weapons and the murder rate for several states in the U.S. 11.6 8.4 6.7 3.5 2.7 2.7 2.2 0.9 14.1 11.3 9.9 6.8 6.2 6.3 5.8 I = thousands of automatic weapons y = murders per 100,000 residents Keep in mind, the data in the table do not necessarily imply a direct causal link between the two variables. (In fact, can you think of any reasons why these variables may not be directly related to each other?) Also, the purpose of this question is not to make a political statement about guns or gun control. It's only to illustrate that data such as these sometimes have mathematical relationships that can be modeled with linear equations. Those relationships should always be questioned and examined carefully. With that said, these data can be modeled by the equation y = 0.87z + 3.95. Use this equation to answer the following; A) If this model is oconsistent, how many murders per 100,000 residents can be expected in a state with 8.7…
A colleague of yours is faced with testing a relationship at the .05 level or significance or the .01 level of significance. What is your advice to your colleague? Why?
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3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Caffeine Cups Sold Measurement Amount of caffeine in one cup Number of cups of the coffee Units Milligrams Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your…

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