11The following table givcs the number of days in a 100 day period,during which automobile accidents occurred in a cityNo. of accidents134No. of Days4035156.4.Fit a Poisson distribution to the data

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Answered: The following table gives the number of…

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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A national newspaper reported that the state with the longest mean life span is Hawaii, where the population mean life span is 76 years. A random sample of 20 obituary notices in the Honolulu Advertizer gave the following information about life span (in years) of Honolulu residents. 72 68 81 93 56 19 78 94 83 84 77 69 85 97 75 71 86 47 66 27 Assuming that life span in Honolulu is approximately normally distributed, does this information indicate that the population mean life span for Honolulu residents is less than 76 years? Use a 10% level of significance. What is the level of significance? What is the value of the sample test statistic? (Round your answer to three decimal places.) Find the P-value. (Round your answer to four decimal places.)
2. It is known that the student score data in a class is as follows: 9, 8, 6, 7, 7, 8, 5, 3, 6, 7 Describe the data in terms of central tendency!
A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table. Temperature (degrees Fahrenheit) 57 75 43 68 67 Number sold 17 12 20 8 13 The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold? A -0.85 B -0.68 0.68 D 0.73 E 0.85
An article included the accompanying data on 17 fish caught in 2 consecutive years. Year FishNumber Weight(g) Length(mm) Age(years) Year 1 1 777 410 9 2 581 368 11 3 540 357 15 4 647 373 12 5 537 361 9 6 892 385 9 7 674 380 10 8 782 400 12 Year 2 9 570 407 12 10 628 410 13 11 728 421 12 12 866 446 19 13 1,043 478 19 14 803 441 18 15 833 454 12 16 765 440 12 17 728 427 12 (a) Fit a multiple regression model to describe the relationship between weight and the predictors length and age. (Use x1 for length and x2 for age. Round your numerical values to two decimal places.) = (b) Carry out the model utility test to determine whether at least one of the predictors length and age are useful for predicting weight. Use a significance level of 0.05. Calculate the test statistic and find the P- value. (Round your answer to two decimal places.) F = P-value =
The data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. Complete parts (a) to (c) below. Full data set D Name Brand Store Brand 20 23 26 24 28 19 21 27 33 28 33 15 29 22 25 17 22 21 22 30 20 26 23 24 25 27 ... (a) Draw side-by-side boxplots for each brand of cookie. Label the boxplots "N" for the name brand and "S" for the store brand. Choose the correct answer below. OA. OB. OC. N- N- N- 10 20 30 40 10 20 30 40 10 20 30 40 (b) Does there appear to be a difference in the number of chips per cookie? O A. Yes. The store brand appears to have more chips per cookie. O B. No. There appears to be no difference in the number of chips per cookie. O C. Yes. The name brand appears to have more chips per cookie. O D. There is insufficient information to draw a conclusion. (c) Does one brand have a more consistent number of chips per cookie? O A. No. Both brands have roughly the same number of chips per cookie. O B. Yes. The…
can anyone explain how the graph is correlated to the p-value and if there is a difference between reflex times between each group member?
The table (on the right) shows the daily COVID-19 confirmed cases in Toronto region from March 8, 2020 to May 16, 2020. (Source: Ontario Public Health ) Year Dally cases (# people) March 8- March 14 50 March 15-March 21 202 a) Use DESMOS graphing technology to create a scatter plot of the data on the next page. Choose March 8- March 14 as week March 22-March 28 357 March 20-April 459 b) On the DESMOS graphing calculator, Determine a linear, a quadratic, and an exponential model using regression. April 5-April 11 085 April 12-April 18 1506 April 19-April 25 1532 April 26-May 2 1201 May 3- May 0 1126 May 10- May 16 071 c) Write the equation of the three models in the table below. Do not write the general regression equations Models Equation R SQUARE VALUE linear model 1 1 Quadratic model 2 Exponential model 3 3 d) Which model fits the data best? Justify using the value of the coefficient of determination
1) make a scatter plot with the line best of best fit 2) calculate the correlation (r) 3) describe the scatter plot (DUFS) 4) Calculate and write the LSRL
13.

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The following table gives the number of days in a 100 day period, during which automobile accidents occurred in a city No. of accidents 1 3 4 No. of Days 40 Fit a Poisson distribution to the data 35 15 4