# Data Modeling Examples and Frequently Asked Questions

Recent questions in Modeling data distributions
Lacey Cordova 2023-03-25

## Is every straight line the graph of a function?

Presley Washburn2022-07-19

## the manager of an electrical supply store measured th diameters of the rolls of wire in the inventory. The diameter of the rolls are listed below 0.56,  0.622, 0.154, 0.412, 0.287, 0.118

jbaynosa838 2022-03-02

## Under the normal curve, the probability of a score occurring below the mean is 0 68% 2 to 1 .50

Abbie Mcgrath 2022-01-23

## Data Mining Which of the following steps are done before data modeling? SELECT ONE Data cleaning Data reduction Data transformation All of the above

veudeje 2021-11-19

## The table below contains the information for the joint probability mass function of X and Y (two different measurement systems).a) Plot and calculate the marginal distributions of X and Yb) Select one of the Y values from the table and find the conditional probability mass function of X for that Y value you have selected and plot it. c) Show whether X and Y are independent or not. d) Calculate the covariance of (X,Y) i.e. Cov(X,Y). $\begin{array}{|ccccc|}\hline f\left(x,y\right)& 1& 2& 3& 4\\ 10& 0.05& 0& 0.1& 0\\ 20& 0.1& 0.1& 0.05& 0.05\\ 30& 0.05& 0& 0.15& 0\\ 40& 0.1& 0.15& 0.05& 0.05\\ \hline\end{array}$

wurmiana6d 2021-11-19

## Ron Larson - Calculus 11th Edition Chp 3.3 Increasing and decreasing functions and the first derivative test. Please show work and explain steps, thank you. Modeling Data. The end-of-year assets of the Medicare Hospital Insurance Trust Fund (in billions of dollars) for the years 2006 through 2014 are shown. 2006: 305.4 2007: 326.0 2008: 321.3 2009: 304.2 2010: 271.9 2011: 244.2 2012: 220.4 2013: 205.4 2014: 197.3 (Source: U.S. Centers for Medicare and Medicaid Services) (b) Use a graphing utility to plot the data and graph the model.

lilyta79jd 2021-11-18

## Look at the normal curve below, and find , and $\sigma$ $\begin{array}{|ccc|}\hline \mu & =& \\ \mu +\sigma & =& \\ \sigma & =& \\ \hline\end{array}$

puntgewelb5 2021-11-18

## The Great White Shark. In an article titled “Great White, Deep Trouble” (National Geographic, Vol. 197(4), pp. 2–29), Peter Benchley—the author of JAWS—discussed various aspects of the Great White Shark (Carcharodon carcharias). Data on the number of pups borne in a lifetime by each of 80 Great White Shark females are provided on the WeissStats site. Use the technology of your choice to a. obtain frequency and relative-frequency distributions, using single-value grouping. b. construct and interpret either a frequency histogram or a relativefrequency histogram.

pavitorj6 2021-11-18

## The data for the joint probability mass function of X and Y (two different measurement systems) are given in the table below. a) Calculate the marginal distributions of X and Y and plot them. b) Select one of the Y values from the table and find the conditional probability mass function of X for that Y value you have selected and plot it. c) Show whether X and Y are independent or not. $\begin{array}{|ccccc|}\hline f\left(x,y\right)& 1& 2& 3& 4\\ 15& 0.1& 0& 0.1& 0.05\\ 20& 0.05& 0.05& 0& 0.1\\ 25& 0& 0.05& 0.05& 0.1\\ 30& 0.1& 0.05& 0.15& 0.05\\ \hline\end{array}$ d) Calculate the covariance of (X,Y) i.e. Cov(X,Y).

generals336 2021-10-27

## Which of the following is nota condition for constructing a confidence interval to estimate the difference between two population proportions? A. The samples must be selected randomly. B. The data must come from populations with approximately normal distributions. C. When samples are taken without replacement, each population must be at least 10 times as large as its corresponding sample. D. The samples must be independent of each other. E. The observed number of successes and failures for both samples must be at least 10.

Chesley 2021-10-26

## A random sample of ${n}_{1}=14$ winter days in Denver gave a sample mean pollution index ${x}_{1}=43$. Previous studies show that ${\sigma }_{1}=19$. For Englewood (a suburb of Denver), a random sample of ${n}_{2}=12$ winter days gave a sample mean pollution index of ${x}_{2}=37$. Previous studies show that ${\sigma }_{2}=13$. Assume the pollution index is normally distributed in both Englewood and Denver. (a) State the null and alternate hypotheses. ${H}_{0}:{\mu }_{1}={\mu }_{2};{\mu }_{1}>{\mu }_{2}$ ${H}_{0}:{\mu }_{1}<{\mu }_{2};{\mu }_{1}={\mu }_{2}$ ${H}_{0}:{\mu }_{1}={\mu }_{2};{\mu }_{1}<{\mu }_{2}$ ${H}_{0}:{\mu }_{1}={\mu }_{2};{\mu }_{1}\ne {\mu }_{2}$ (b) What sampling distribution will you use? What assumptions are you making? The Students

DofotheroU 2021-10-26

## A standard 3 sigma x-bar chart has been enhanced with early warning limits at plus-minus one sigma from the centerline . Three sample means in a row have plotted above the +1 sigma line . what is the probability of this happening if the process is still in control.

beljuA 2021-10-20

## The population mean may be reliably estimated using a statistic calculated from data recorded from randomly selected individuals.’ Explain this statement with reference to sampling distributions and the central limit theorem.

Alyce Wilkinson 2021-10-20

## Range=max value- min value h=r/m m=no of classes The weights shown in data given to the nearest tenth of a pound, were obtained from a sample of 18- to 24-year-old males. Organize these data into frequency and relative-frequency distributions. Use a class width of 20 and a ﬁrst cutpoint of 120. 129.2 185.3 218.1 182.5 142.8 155.2 170.0 151.3 187.5 145.6 167.3 161.0 178.7 165.0 172.5 191.1 150.7 187.0 173.7 178.2 161.7 170.1 165.8 214.6 136.7 278.8 175.6 188.7 132.1 158.5 146.4 209.1 175.4 182.0 173.6 149.9 158.6 Also calculate cumulative frequency and midpoint.

Zoe Oneal 2021-10-20