Consider the following statements I through V.
I.        The possible values of outside temperature in Texas
II.      The sum of numbers on a pair of two dice
III.    The possible times that a person arrives at a restaurant
IV.    The possible sets of outcomes from flipping ten coins
V.      The possible sets of outcomes from flipping (countably) infinite coins        

Which of the following “a through e” answer choices is incorrect?

The table below shows data collected on the vessel calls for a port in Ghana, from 2007-2016 to study the relationship between the number of Commercial Vessels (C.V.) and Offshore Vessels (O. V.). Year 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 C. V. (X) 527 486 481 558 623 611 606 543 615 673 O. V. (Y ) 67 129 475 719 1175 1053 758 844 910 928 Assuming a linear regression model E(Y |X = x) = α + β(x − x¯): a. Fit a regression model of the number of offshore vessels on commercial vessels, and give practical interpretation of the regression parameter estimates. [10 Marks] b. Construct a 95% confidence and prediction intervals for the number of offshore vessels corresponding to 742 commercial vessels.

A parallel plate capacitor with plate separation d is connected to a battery. The capacitor is fully charged to Q Coulombs and a voltage of V. (C is the capacitance and U is the stored energy.) Answer the following questions regarding the capacitor charged by a battery.

For each statement below, select True or False. and please explain answers Thanks!

1) With the capacitor connected to the battery, decreasing d increases U

2) After being disconnected from the battery, inserting a dielectric with ? will decrease V

3) After being disconnected from the battery, decreasing d increases C

4) With the capacitor connected to the battery, inserting a dielectric with a dielectric constant "k" will decrease C

5) After being disconnected from the battery, increasing d decreases V

6) With the capacitor connected to the battery, inserting a dielectric with a dielectric constant "k" will decrease U

This is a three-part question. If you want it piecemeal, then let me know.

Assume that R31, R30, ... , R0 are the 32 ALU result bits output by our MIPS ALU.

a) Write down a logic expression for the Z (zero) flag that indicates when the result is zero as a function of these 32 result bits.

b) Write down a logic expression for an N (negative) flag that indicates whether the result is negative.

c) Suppose that there were four flags Z, N, V, and C (for zero, negative, overflow and carry). After the instruction sub  $t0,$t1,$t2 which subtracts $t2 from $t1 and places the result into $t0, what combination of the flags (Z, N, V, C) indicates that $t1 contains a value less than that in $t2? Write down the logic expression for LESS as a function of Z, N, V and C.  LESS = __________________

I am stuck on the following problem please and it has to be in python!

1) Initially, create a list of the following elements and assign the list to a variable "thing".

"Mercy", "NYU", "SUNY", "CUNY"

2) print the list above

3) add your last name to the list

4) print the list

5) add the following elements as a nested list to the list:

"iPhone", "Android"

6) print the list

7) add the following list to the end of the list as elements:

["MIT", "CMU"]

8) print the list

9) add the following nested list to the third position of the list thing:

[30, 40+1]

10) print the list

11) delete "SUNY" from the list. # revised this question on 9/24 8:41pm!

12) print the list

13) add "Mercy" to the second last in the list (so "Mercy" should be in between "MIT" and "CMU"):

14) print the list

15) count "Mercy" in the list and print.

16) print the number of the top-level elements in the list.

17) In Step 10 above, explain why 40+1 is entered 41 to the list.

Challenge) Can we remove an element from a nested list? If yes, explain how in plain text. If not, explain why not

Challenge) Can we count each every element in a list, which may contain nested lists? If yes, explain how in plain text. If not, explain why not

4. The highway department is testing two types of reflecting paint for concrete bridge end pillars. The two kinds of paint are alike in every respect except that one is orange and the other is yellow. The orange paint is applied to 12 bridges, and the yellow paint is applied to 12 bridges. After a period of 1 year, reflectometer readings were made on all these bridge end pillars. (A higher reading means better visibility.) For the orange paint, the mean reflectometer reading was x₁ = 9.4, with standard deviation s₁ = 2.1. For the yellow paint the mean was x₂ = 6.9, with standard deviation s₂ = 2.5. Based on the data, can we conclude that the yellow paint has less visibility after 1 year? Use a 1% level of significance.

a. What are we testing in this problem?

1. difference of proportions

2. difference of means

3. single mean

4. paired difference

5. single proportion

b. What is the level of significance?

c. State the null and alternate hypotheses.

H₀: μ₁ ≥ μ₂; H₁: μ₁ < μ₂

H₀: μ₁ ≤ μ₂; H₁: μ₁ > μ₂     

H₀: μ₁ = μ₂; H₁: μ₁ ≠ μ₂

H₀: μ₁ ≠ μ₂; H₁: μ₁ = μ₂

d. What sampling distribution will you use? What assumptions are you making?

The Student's t. We assume that both population distributions are approximately normal with known population standard deviations.

The Student's t. We assume that both population distributions are approximately normal with unknown population standard deviations.     

The standard normal. We assume that both population distributions are approximately normal with unknown population standard deviations.

The standard normal. We assume that both population distributions are approximately normal with known population standard deviations.

e. What is the value of the sample test statistic? (Test the difference μ₁ − μ₂. Round your answer to three decimal places.)

f. Estimate the P-value.

P-value > 0.250

0.125 < P-value < 0.250    

0.050 < P-value < 0.1250.025 < P-value < 0.050

0.005 < P-value < 0.025

P-value < 0.005

g. Sketch the sampling distribution and show the area corresponding to the P-value.

h. Will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.

At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.     

At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.

At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

i. Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.01 level that the yellow paint has less visibility after 1 year.

There is insufficient evidence at the 0.01 level that the yellow paint has less visibility after 1 year.    

The highway department is testing two types of reflecting paint for concrete bridge end pillars. The two kinds of paint are alike in every respect except that one is orange and the other is yellow. The orange paint is applied to 11 bridges, and the yellow paint is applied to 11 bridges. After a period of 1 year, reflectometer readings were made on all these bridge end pillars. (A higher reading means better visibility.) For the orange paint, the mean reflectometer reading was x1 = 9.4, with standard deviation s1 = 2.1. For the yellow paint the mean was x2 = 6.4, with standard deviation s2 = 1.7. Based on these data, can we conclude that the yellow paint has less visibility after 1 year? Use a 1% level of significance.

What are we testing in this problem? single mean single proportion paired difference difference of means difference of proportions (a) What is the level of significance? State the null and alternate hypotheses. H0: μ1 = μ2; H1: μ1 < μ2 H0: μ1 = μ2; H1: μ1 > μ2 H0: μ1 > μ2; H1: μ1 = μ2 H0: μ1 = μ2; H1: μ1 ≠ μ2 (b) What sampling distribution will you use? What assumptions are you making? The standard normal. We assume that both population distributions are approximately normal with unknown standard deviations. The Student's t. We assume that both population distributions are approximately normal with unknown standard deviations. The standard normal. We assume that both population distributions are approximately normal with known standard deviations. The Student's t. We assume that both population distributions are approximately normal with known standard deviations. What is the value of the sample test statistic? (Test the difference μ1 − μ2. Round your answer to three decimal places.) (d) Find (or estimate) the P-value. (Round your answer to four decimal places.) Sketch the sampling distribution and show the area corresponding to the P-value. Maple Generated Plot Maple Generated Plot Maple Generated Plot Maple Generated Plot (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α? At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. (e) Interpret your conclusion in the context of the application. There is sufficient evidence at the 0.01 level that the yellow paint has less visibility after 1 year. There is insufficient evidence at the 0.01 level that the yellow paint has less visibility after 1 year.

The highway department is testing two types of reflecting paint for concrete bridge end pillars. The two kinds of paint are alike in every respect except that one is orange and the other is yellow. The orange paint is applied to 12 bridges, and the yellow paint is applied to 12 bridges. After a period of 1 year, reflectometer readings were made on all these bridge end pillars. (A higher reading means better visibility.) For the orange paint, the mean reflectometer reading was x1 = 9.4, with standard deviation s1 = 2.1. For the yellow paint the mean was x2 = 7.1, with standard deviation s2 = 2.3. Based on the data, can we conclude that the yellow paint has less visibility after 1 year? Use a 1% level of significance

a.) What are we testing in this problem?

-difference of means

-single proportion

-single mean

-difference of proportions

-paired difference

b.) What is the level of significance? ______

c.) State the null and alternate hypotheses.

-H0: μ1 ≥ μ2; H1: μ1 < μ2

-H0: μ1 = μ2; H1: μ1 ≠ μ2

-H0: μ1 ≠ μ2; H1: μ1 = μ2

-H0: μ1 ≤ μ2; H1: μ1 > μ2

d.) What sampling distribution will you use? What assumptions are you making?

-The Student's t. We assume that both population distributions are approximately normal with known population standard deviations.

-The standard normal. We assume that both population distributions are approximately normal with known population standard deviations.

-The Student's t. We assume that both population distributions are approximately normal with unknown population standard deviations.

-The standard normal. We assume that both population distributions are approximately normal with unknown population standard deviations.

e.) What is the value of the sample test statistic? (Test the difference μ1 − μ2. Round your answer to three decimal places.) _____________

f.) Estimate the P-value.

-P-value > 0.250

-0.125 < P-value < 0.250

-0.050 < P-value < 0.125

-0.025 < P-value < 0.050

-0.005 < P-value < 0.025

-P-value < 0.005

f.) Sketch the sampling distribution and show the area corresponding to the P-value.

g.) Will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

-At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.

-At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

-At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.

-At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

h.) Interpret your conclusion in the context of the application.

-There is sufficient evidence at the 0.01 level that the yellow paint has less visibility after 1 year.

-There is insufficient evidence at the 0.01 level that the yellow paint has less visibility after 1 year.