Descriptive StatisticsNeighborhood'of HouseStdMeanStd ErrorDeviationStatenIslandDunganSelling Price of HouseLiving Space of House inSquare FeetLot Size of Land around48 S468,082.77 S19,665.822 $136,248 811195 292481961 811353.022Hills483785.67242. 8331682.394House in Square FeetPrice per Square Foot of48$483.04$202.362$1.402.007HouseSelling Price of HouseLiving Space of House in30 S522 433 33 S29 744.861 S162,919.312142 659StatenIslandSunnise301907 33781.376Square FeetLot Size of Land around304549 00391.3382143 447House in Square FeetPrice per Square Foot of30$290 30$12.604 S69 0335:55 PMAA 4 sa/2022O 62F Partly sunnyO Type here to search 1. Specifically, you should use the results in the table below for the two neighborhoods to compare the two neighborhoods by testingthe hypothesis that there is no significant difference between the neighborhoods:a. Test the hypothesis at .01 Level of Significance that there is no significant difference in the Average Price of Houses betweenthe neighborhoodsb. Test the hypothesis at .01 Level of Significance that there is no significant difference in the Average Price per Square Foot ofHouses between the neighborhoodsc. Test the hypothesis at .01 Level of Significance that there is no significant difference in the Average Age of Houses between theneighborhoodsd. Test the hypothesis at .01 Level of Significance that there is no significant difference in the Average Lot Size of Houses betweenthe neighborhoodse. Write a report on your results.

Answered: Image /qna-images/answer/3ce7f58e-0ddf-4295-ac6b-b07f2337f5d2.jpg

Answered: 1. Specifically, you should use 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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Thomas wants to compare the mean concentration of carbon monoxide (CO) on residential versus commercial streets, since these differ in terms of car traffic. In each of three neighborhoods of Montréal (named A, B, and C below), he randomly chooses four locations for each type of street, for a total of 24 observations (2 street types x 3 neighborhoods x 4 locations). At each location, he measures CO concentration in the air over a period of 10 hours (8:00 AM-6:00 PM), and obtains the following data (in ppm/h). Question: Test whether or not the difference between residential and commercial streets in mean atmospheric CO concentration is the same among the three neighborhoods, and whether or not CO concentration in the air is the same, on average, for the two types of streets. Note that Neighborhood is considered a random block factor in the ANOVA. Use significant level= 0.05.
A social worker notes that in a population of psychiatric inpatients the ethnic mix seems out of balance with what she has understood to be the ratios in the general population. Respond to the prompts below to show how she might determine whether the inpatient ethnic mix varies from the mix in the general population. What statistical test would be appropriate to use here? Explain the rationale for your answer. What assumptions would need to be met in order to use the test? Describe the data that the test would be based on as either quantitative or qualitative. Explain the rationale for your answer. Write an example of how the null and alternative hypotheses for this test could be stated. What would the researcher need to know in order to calculate the appropriate test statistic? I.e., what values need to be known or calculated in order to complete the calculation of the test statistic?
. A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…
Consider the following table where the production quantity of a welding process is presented for different pressure levels (low, medium, and high). By using 5% significance level, test whether the pressure level has an impact on the average production amount. Explicitly show all of your computations and clearly demonstrate how you reach your conclusion. Low Medium High 32 34 22 26 31 30 35 36 24 40 27 28 32 27 31
Answer the following: 2. Describe the form, direction, and strength of the relationship between these variables. Does there appear to be any outliers? 3. The equation of least-squares regression line is y = 6.871 + 0.061x. This line goes through the points (0, 6.9) and (700, 49.5). Use these points to add the regression line to your scatterplot above. 4. One animal is farthest from the regression line and is an outlier for these two variables. Find the name of this animal and write a sentence describing how its position differs from the overall relationship among the other animals. 5. The elephant has the longest gestation period of these animals. a. Considering only the gestation variable, would you say that the elephant is an outlier? Write a sentence or two explaining why or why not? b. Considering both variables and the relationship between average life span and average gestation period, would you say the elephant is an outlier now? Write a sentence or two explaining why or why…
B. What is the equation of the regression line for the set of 9 points? y=___ C. Choose the correct description of the results below. The removal of the point has a significant impact on the regression line. There is no regression line for the second case because the data are in a pattern. The regression line is very similar in both cases. The regression line changes, but the change is small.
Below is the fat content of some of our favorite meals. Compute the mean, median, and mode. Sandwich Grams of fat Whopper and King size fries 70 Wendy’s Big Bacon Classic with Biggie Fries 53 Quarter Pounder with Cheese and large fries 56 Big Mac with large fries 58 Arby’s Regular Roast Beef and large curly fries 50 Arby’s Big Montana and large curly fries 70 Angus Big Bacon & Cheese Steak and King size fries 63 Solve for the following with solutions Mean: ______ Median:______ Mode: ______
An article discussed the opening of a Market. The following data compared the prices of some kitchen staples at the new Market (group 1) and at the old Market (group 2) located 15 blocks away. ITEM GROUP 1 GROUP 2 HALF GALLON MILK 16.8 22.0 DOZEN EGGS 11.7 15.2 ORANGE JUICE (64OZ) 15.6 18.7 HEAD OF LETTUCE 16.7 15.6 1LB GROUND BEEF 17.5 20.8 6OZ TUNA 18.1 19.5 1LB APPLES 14.1 17.0 LINGUINI 21.8 19.5 SALMON STEAK 1LB 13.9 16.5 WHOLE CHICKEN PER LB 20.8 24.0 A. Use math symbol to formulate null hypothesis and alternative hypothesis to test whether there is evidence that the mean price is lower at Group 1 or Group 2. (use without calculator functions)
QQQ3. Diamond PricesWeight 0.3 0.4 0.5 0.5 1.0 0.7Price 510 1151 1343 1410 5669 2277Find the best predicted price for this diamond with a weight of 1.50 carats. Is the result close tothe actual price of $16,097? What is wrong with predicting the price of a 1.50-carat diamond? Between the two variables.d) Find the regression equation,e) Letting the first variable be the predictor (x) variable, find the indicated predicted value.
C. If you have only the marginal totals, how can you determine frequencies for each cell that make the variables independent?
Part #2
In a cohort study of pesticide exposure and cancer, a group of employees who were exposed to the pesticide and a comparative group who were not exposed were followed up for 30 years at a chemical company. Researchers found that the incidence of cancer among the exposed workers was 55.3 per 1,000. In the comparative group, the incidence of cancer was 15.7 per 1,000. Calculate the: 1. relative risk and the 2. attributable risks of exposure of exposure to pesticides and the development of cancer. Please show you calculations. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). B I U S Paragraph Arial ≡≡ EE X² X₂ CH H+ {} Ⓒ K + V 10pt >¶¶< +₁ ABC ✔ ✓ E A 11 "" Ω V Tx XQ 田く 52 A&A EXE

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