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The formula to use to use to find aos for an equation

 
 

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1.3) Suppose that a piece of equipment produces steel pipes and malfunctions 5% of the time, if the next 4 ...

xt 4 tests are performed, find P(x=0), P(x=1), P(x=2),P(x=3) and P(x=4). SHOW ALL WORK TO GET CREDIT) 4) Use the confidence interval (99%) to solve the following question. A company is trying to establish the number of average amount of funds that are owed by its employees. They collect 1,000 accounts and found the sample average owed is $250 with a standard deviation of 10. Calculate the confidence interval (MUST SHOW ALL WORK TO GET CREDIT) 5) Use the t distribution formula and table to solve the following question. A random sample of 91 with a sample average of 90 and a standard deviation of 4.2 hours, calculate the confidence interval at 98% (MUST SHOW ALL WORK TO GET CREDIT) 6) A poll of 3,000 adults out of 5,500 was collected to found that they did not get a master’s degree. Calculate the confidence interval at 95%. (MUST SHOW ALL WORK TO GET CREDIT)
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2.Use the formula for finding a z-score to determine the missing value in the following table. Round your answer to ...

our answer to two decimal places, if necessary. z x μ σ −0.67 26.40 30.3 ?
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3.Let X_1, X_2, ... , X_n be i.i.d. with probability density function f(x | theta) = theta*x^(-theta - 1); I{x>1}, theta ...

- 1); I{x>1}, theta > 1. (a) Show that log Xi has an exponential distribution with a mean of 1/theta. (b) Find the form for a UMP test of H_0: theta <= theta_0 vs. H_a : theta > theta_0. (c) Give formula for nding the rejection region for a given value of alpha. Hint: use the result from (a) to fi nd the distribution of the test statistic. (d) Conduct the test in (b) with alpha = 0.05 and theta_0 = 1:5 using the dataset: {1.2, 2.4, 1.3, 1.7, 1.9}. (e) Find the form of a UMPU test for testing H_0 : theta = theta_0 vs. H_a : theta_0 != theta_0. (f) Use the data in (d) to conduct the test in (e) with alpha = 0.05 and theta_0 = 1.5.
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4.Let X_1, X_2, ... , X_n be i.i.d. with probability density function f(x | theta) = theta*x^(-theta - 1); I{x>1}, theta ...

- 1); I{x>1}, theta > 1. (a) Show that log Xi has an exponential distribution with a mean of 1/theta. (b) Find the form for a UMP test of H_0: theta <= theta_0 vs. H_a : theta > theta_0. (c) Give formula for nding the rejection region for a given value of alpha. Hint: use the result from (a) to fi nd the distribution of the test statistic. (d) Conduct the test in (b) with alpha = 0.05 and theta_0 = 1:5 using the dataset: {1.2, 2.4, 1.3, 1.7, 1.9}. (e) Find the form of a UMPU test for testing H_0 : theta = theta_0 vs. H_a : theta_0 != theta_0. (f) Use the data in (d) to conduct the test in (e) with alpha = 0.05 and theta_0 = 1.5.
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5.Let X_1, X_2, ... , X_n be i.i.d. with probability density function f(x | theta) = theta*x^(-theta - 1); I{x>1}, theta ...

- 1); I{x>1}, theta > 1. (a) Show that log Xi has an exponential distribution with a mean of 1/theta. (b) Find the form for a UMP test of H_0: theta <= theta_0 vs. H_a : theta > theta_0. (c) Give formula for nding the rejection region for a given value of alpha. Hint: use the result from (a) to fi nd the distribution of the test statistic. (d) Conduct the test in (b) with alpha = 0.05 and theta_0 = 1:5 using the dataset: {1.2, 2.4, 1.3, 1.7, 1.9}. (e) Find the form of a UMPU test for testing H_0 : theta = theta_0 vs. H_a : theta_0 != theta_0. (f) Use the data in (d) to conduct the test in (e) with alpha = 0.05 and theta_0 = 1.5.
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6.Use the formula 1 + 3 + 5 + ... + (2n - 1) = n2 to find the result ...

ould I go about using the above formula to find the end result?
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7.I have an exam in an hour and I want someone to solve it for me. Statistics including normal distribution, ...

ution, regression, decision trees Past paper has 5 questions (attached), we will have 4. Complexity of questions will be reduced slightly for decision trees and regression. Visualisation question – written in word file or hand-written and scanned or photographed. Normal distribution: Sketch using online normal distribution visualisation applet (add notes around this to discuss if necessary) or sketch by hand and scan or photograph. For mathematical workings, use formulae sheet, copy, paste and adapt, or scan / photograph your workings and upload. Decision tree – use Office smart shapes, or sketch by hand and scan or photograph. If formulae are required, then use formula sheet, copy, paste and adapt. Regression – written in word file or hand-written and scanned or photographed. MCDA – written in word file or hand-written and scanned or photographed. Remember if they appear, decision trees and regression will be a little less technical than they have been in the past. (To allow more of a buffer with regards to time available to complete and upload). Visualisation and MCDA questions will be more general (strengths and weaknesses, key messages, make some recommendations). Exam questions will be set so as to minimise practical and logistical difficulties in uploading answers.
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1.AU MAT 120 Systems of Linear Equations and Inequalities Discussion

mathematicsalgebra Physics