Mathematics Homework Help
Work Performance Statistics Questions
This assignment must be done using SPSS
This is a simple one if you know how to do it.
The attached file contains everything you need.
Due date is in 8 hours
Work Performance Statistics Questions
This assignment must be done using SPSS
This is a simple one if you know how to do it.
The attached file contains everything you need.
Due date is in 8 hours
Middle Tennessee State University Calculus Vector Field Question
I need help with a Calculus question. All explanations and answers will be used to help me learn.
There will be 7 questions multiple choice and numerical answer. I only need final answers.
Dataset Songs Statistics Question
kindly check the pdf file for the requirement and excel sheet for the data
i need it R notebook format , word document
please it is urgent if you don’t know don’t accept
MAT 1222 RC Cost of Adult Ticket and & Cost of Childs Ticket Exercise
Review the slideshow assignment . After reviewing the slideshow, answer the two questions about ticket prices. Remember to type and save your assignment as a Microsoft Word document and show all your work.
MTSU Sphere Origins Unit Vectors Equation Planes & Parametric Equations Exercises
There will be 10 questions and it’s multiple choices and numerical numbers. Please as soon as you finish the question send it to me.Also, you will have 1 hour 10 minutes to finish it.
UCLA Probability & Statistical Inference & Random Sample of Size Exercise Examples
10th edition of Probability and Statistical Inference do Exercises
8.6-1, 8.6-2, 8.6-10, 8.7-1, 8.7-4, 8.7-5.
8.6-1. A certain size of bag is designed to hold 25 pounds of potatoes. A farmer fills such bags in the field. Assume that the weight X of potatoes in a bag is N(μ, 9). We shall test the null hypothesis H0: μ = 25 against the alternative hypothesis H1: μ< 25. Let X1,X2,X3,X4 be a random sample of size 4 from this distribution, and let the critical region C for this test be defined by x ≤ 22.5, where x is the observed value of X.
(a) What is the power functionK(μ) of this test? In partic-ular, what is the significance level α = K(25) for your test?
(b) If the random sample of four bags of potatoes yielded the values x1 = 21.24, x2 = 24.81, x3 = 23.62, and
x4 = 26.82, would your test lead you to accept or reject H0?
(c) What is the p-value associated with x in part (b)?
8.6-2. Let X equal the number of milliliters of a liquid in a bottle that has a label volume of 350 ml. Assume that the distribution ofX is N(μ, 4). To test the null hypothesisH0: μ = 355 against the alternative hypothesis H1: μ< 355, let the critical region be defined by C ={x : x ≤ 354.05}, where x is the sample mean of the contents of a random sample of n = 12 bottles. (a) Find the power function K(μ) for this test. (b) What is the (approximate) significance level of the test?
(c) Find the values of K(354.05) and K(353.1), and sketch the graph of the power function.
(d) Use the following 12 observations to state your con-clusion from this test:
350 353 354 356 353 352 354 355 357 353 354 355
(e) What is the approximate p-value of the test?
8.6-10. Let X have a Bernoulli distribution with pmf f(x; p) = px(1 − p)1−x,
x = 0, 1, n 0 ≤ p ≤ 1.
We would like to test the null hypothesis H0: p ≤ 0.4 against the alternative hypothesis H1: p > 0.4. For the test statistic, use Y =
i=1 Xi,where X1,X2,…,Xn is a ran-dom sample of size n from this Bernoulli distribution. Let the critical region be of the form C ={y: y ≥ c}.
(a) Let n = 100. Onthe same set of axes, sketch the graphs of the power functions corresponding to the three crit-ical regions, C1 ={y : y ≥ 40}, C2 ={y : y ≥ 50},and C3 ={y : y ≥ 60}. Use the normal approximation to compute the probabilities.
(b) LetC ={y: y ≥ 0.45n}.On the same set of axes, sketch the graphs of the power functions corresponding to the three samples of sizes 10, 100, and 1000.
8.7-1. Let X1,X2,…,Xn be a random sample from a normal distribution N(μ, 64).
(a) Show that C ={(x1, x2,…, xn): x ≤ c} is a best critical region for testing H0: μ = 80 against H1: μ = 76.
(b) Find n and c so that α ≈ 0.05 and β ≈ 0.05.
8.7-4. Let X1,X2,…,Xn be a random sample of Bernoulli trials b(1, p).
(a) Show that a best critical region for testing H0: p = 0.9 against H1: p = 0.8 can be based on the statistic Y =
n Y = i=1 Xi,which is b(n, p).
(b) If C ={(x1, x2,…, xn): n
n i=1 xi ≤ n(0.85)} and i=1 Xi, find the value of n such that α = P[Y ≤
n(0.85); p = 0.9] ≈ 0.10. HINT: Use the normal approximation for the binomial distribution.
(c) What is the approximate value of β = P[Y > n(0.85); p = 0.8 ] for the test given in part (b)?
(d) Is the test of part (b) a uniformly most powerful test when the alternative hypothesis is H1: p < 0.9?
8.7-5. Let X1,X2,…,Xn be a random sample from the normal distribution N(μ, 36).
(a) Show that a uniformly most powerful critical region for testing H0: μ = 50 against H1: μ< 50 is given by C2 ={x: x ≤ c}.
(b) With this result and that of Example 8.7-4, argue that a uniformly most powerful test for testing H0: μ = 50 against H1: μ = 50 does not exist.
UCLA Darboux Theorem Intermediate Value Property & Derivatives Exercise Examples
5. Suppose f and g are dierentiable on (a; b) and f0(x) = g0(x) for all x 2 (a; b). Show
that f(x) = g(x) + c for some c 2 R.
6. Let f : [a; b] ! R and suppose there exist > 0 and M > 0 such that
jf(x) f(y)j Mjx yj;
for all x; y 2 [a; b].
(a) Show that f is uniformly continuous on [a; b].
(b) Suppose that > 1. Show that f must be constant.
9. (a) Let f : [a; b] ! R be bounded. Prove that f is Riemann integrable on [a; b] if and
only if there is a sequence of partitions fPng1 n=1 such that
lim
n!1
U(f;Pn) L(f;Pn)
= 0:
(b) For each n, let Pn be the partition of [0; 1] into n equal sub-intervals. Find formulas
for U(f;Pn) and L(f;Pn) if f(x) = x.
(c) Use part (a) to show that f(x) = x is Riemann integrable on [0; 1]. What is
1
0 xdx?
Rowan University How Long Is the Shorter Piece of String Mathematics Questions
a : Assignment 12a: Missing Value Problems
Submission Instructions: Write your answers to the problems on paper and then scan or take photos of those pages. If there are multiple pages to your completed assignment, you must submit them as one multi-page document (pdf, docx, jpg, or png).
Directions: Complete each of the following. On each double number line, you may make as many extra pairs of quantities as you would like in order to find the quantities you are being asked to find. Partial credit will be given if enough work is shown to indicate some understanding of the solutions.
A building casts a 103-foot shadow at the same time that a 32-foot flagpole casts a 34.5-foot shadow. How tall is the building? (Round your answer to the nearest tenth of a foot.)Assignment 12b: Using Strip Diagrams to Solve Ratio Problems
Submission Instructions: Write your answers to the problems on paper and then scan or take photos of those pages. If there are multiple pages to your completed assignment, you must submit them as one multi-page document (pdf, docx, jpg, or png).
Directions: Complete each of the following. Partial credit will be given if enough work is shown to indicate some understanding of the solutions.
STAT 211 ERAU Low Negligible Negative Correlation Between the Variables Analysis
Now that you have compared the altimeters on 20 flights, you are concerned about the amount of error. This question popped into your head, “Is there a correlation between altitude and altimeter error?”
The goal of the assignment is to effectively use the formulas and functions to determine if there is a relationship between altimeter error and measurement error. Complete the following steps:
To run the regression and calculate r, open the STAT 211 Does Higher Lead to Error (XLSX) spreadsheet. Download STAT 211 Does Higher Lead to Error (XLSX) spreadsheet.Column A will contain altitude for 20 randomly selected customers. Column B will include altimeter error.
To populate column A, copy one of the Altitude in Feet columns (D-H in yellow) (cells 3-22) and paste it into cell A3. To populate column B, copy one of the Altimeter Error in Feet columns (J-O in blue) (cells 3-22) and paste it in cell B3.
Once you have the two columns with 20 values each, use these resources to run the regression and include the Pearson’s r correlation coefficient.
When you are finished, your spreadsheet should look similar to the following example. Remember, your numbers will be different, so your regression line will also be different (either positivity or negatively skewed). We are not looking for the “right number” to an assignment question. The goal of the assignment is to effectively use the formulas and functions of excel to evaluate your data, then interpret the results.
Now evaluate your data and interpret the results. Answer the following questions in a document.
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