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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 32PPS

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Let X denote the number of paint defects found in a square yard section of a car body painted
by a robot. These data are obtained:
8.
5
10
3
1
12
2
7
9
Assume that X has a Poisson distribution with parameter As.
а.
Find an unbiased estimate for As.
b. Find an unbiased estimate for the average number of flaws per square yard.
C.
Find an unbiased estimate for the average number of flaws per square foot.

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5. Let X denote the number of paint defects found in a square yard section of a car body painted by a robot. These data are obtained: 8. 5 10 3 1 12 2 7 9. Assume that X has a Poisson distribution with parameter As. a. Find an unbiased estimate for As. b. Find an unbiased estimate for the average number of flaws per square yard. С. Find an unbiased estimate for the average number of flaws per square foot.
The following scatterplot shows the mean annual carbon dioxide (CO,) in parts (CO2) per million (ppm) measured at the top of a mountain and the mean annual air temperature over both land and sea across the globe, in degrees Celsius (C). Complete parts a through h on the right. f) View the accompanying scatterplot of the residuals vs. CO2. Does the scatterplot of the residuals vs. CO, show evidence of the violation of any assumptions behind the regression? 16.800 A. Yes, the outlier condition is violated. 16.725 O B. Yes, the linearity and equal variance assumptions are violated. 16.650 C. Yes, the equal variance assumption is violated. 16.575 O D. No, all assumptioris are okay. 16.500 O E. Yes, all the assumptions are violated. 325.0 337.5 350.0 362.5 CO2 (ppm) OF Yes, the linearity assumption is violated. his vear, What mean temperature does
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Approximately 60% of students in our class take their video quiz after Friday's lecture and before it's due. Assume each student takes video quiz independently. Let X denote the number of math students who take their video quiz in this manner (after Friday's lecture and before it's due) in a class of 100 students. What type of distribution does X follow? Note that to earn full credit for this part, you need to specify the parameter values. Describe in words what a "success" is and what a "failure" is.
Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution. Then sketch a graph of the sampling distribution. The per capita consumption of red meat by people in a country in a recent year was normally distributed, with a mean of 114 pounds and a standard deviation of 38.8 pounds. Random samples of size 15 are drawn from this population and the mean of each sample is determined. mu Subscript x overbar=
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2.2, Once an individual has been infected with a certain disease, let X represent the time (days) that elapses before the individual becomes infectious. An article proposes a Weibull distribution with a = B = 1.3, and y = 0.5. [Hint: The two-parameter Weibull distribution can be generalized by introducing a third parameter y, called a threshold or location parameter: replace x in the equation below, %3D -xª – le-(x/B)ª Ba f(x; а, В) x 0 by x > y.] (a) Calculate P(1 1.5). (Round your answer to four decimal places.) (c) What is the 90th percentile of the distribution? (Round your answer to three decimal places.) days (d) What are the mean and standard deviation of X? (Round your answers to three decimal places.) mean days standard deviation days
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10. a.) Find the z-value such that 80 percent of the area under the standard normal curve lies between -z and z. b). Find the z value if the normal curve area to the right of z is 0.6449. is from N(0,1) de in a cmall town at California is 0.2 everyday, what is the
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Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution. Then sketch a graph of the sampling distribution. The per capita consumption of red meat by people in a country in a recent year was normally distributed, with a mean of 111 pounds and a standard deviation of 37.8 pounds. Random samples of size 19 are drawn from this population and the mean of each sample is determined. 1₂ = 0 ...
la). The null hypothesis is that the difference in the grams of sugar between ultra-processed and processed food μ = 0 (Ho: μ = 0). Write an example alternative hypothesis for the mean (µ) difference between ultra-processed foods (up) and processed foods (μ). 1b). Next, generate 1,000 samples. Let's say that you asked students in our class to calculate the difference in the amount of sugar between their ultra-processed food and processed food at home, which had a mean (u) sugar difference of 14.75 grams of sugar. Do you have evidence to reject the null hypothesis? 1c). Let's say that your sample difference in the amount of sugar between ultra-processed food and processed food at home was 4.75 grams of sugar. Do you have evidence to reject the null hypothesis? 1d). What is a 92% confidence interval for the data? Please write it using the full confidence interval interpretation language (e.g., I am 92% confident that...). le). What percent of the data lie to the left of -14.25 grams of…

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