1. Obtain a linear regression equation for the data to predict the mean temperature values for any given CO2 level. How good is the linear fit for this data? Explain using residual plot and R-square value. To draw residual plot, compute the estimated temperatures for every value of the CO2 level using the regression equation. Then compute the difference between observed (y) and estimated temperature values (called residual; ). Plot the residuals versus CO2 level (called a residual plot).

​a) If the confidence interval for the difference in population proportions p1​ - p2 includes​ 0, what does this​ imply? ​

b) If all the values of a confidence interval for two population proportions​ are​ positive, then what does​ this​ imply? ​

c) If all the values of a confidence interval for two population proportions​ are​ negative, then what does​ this​ imply?

d) Explain the difference between sampling with replacement and sampling without replacement. Suppose you had the names of 10​ students, each written on a 3 by 5​ notecard, and want to select two names. Describe both procedures.

Problem 12-09

The Iowa Energy are scheduled to play against the Maine Red Claws in an upcoming game in the National Basketball Association Developmental League (NBA-DL). Because a player in the NBA-DL is still developing his skills, the number of points he scores in a game can vary dramatically. Assume that each player's point production can be represented as an integer uniform variable with the ranges provided in the table below.

1. Develop a spreadsheet model that simulates the points scored by each team. What is the average and standard deviation of points scored by the Iowa Energy? If required, round your answer to one decimal place.
   
   Average =
   
   Standard Deviation =
   
   What is the shape of the distribution of points scored by the Iowa Energy?
   
   Bell Shaped
   
2. What is the average and standard deviation of points scored by the Maine Red Claws? If required, round your answer to one decimal place.
   
   Average =
   
   Standard Deviation =
   
   What is the shape of the distribution of points scored by the Maine Red Claws?
   
   Bell Shaped
   
3. Let Point Differential = Iowa Energy points - Maine Red Claw points. What is the average point differential between the Iowa Energy and Maine Red Claws? If required, round your answer to one decimal place. Enter minus sign for negative values.
   
   
   
   What is the standard deviation in the point differential? Round your answer to one decimal place.
   
   
   
   What is the shape of the point differential distribution?
   
   Bell Shaped
   
4. What is the probability of that the Iowa Energy scores more points than the Maine Red Claws? If required, round your answer to three decimal places.
   
   
   
5. The coach of the Iowa Energy feels that they are the underdog and is considering a "riskier" game strategy. The effect of the riskier game strategy is that the range of each Energy player's point production increases symmetrically so that the new range is [0, original upper bound + original lower bound]. For example, Energy player 1's range with the risky strategy is [0, 25]. How does the new strategy affect the average and standard deviation of the Energy point total? Round your answer to one decimal place.
   
   Average =
   
   Standard Deviation =
   
   Explain.
   
   The input in the box below will not be graded, but may be reviewed and considered by your instructor.
   
   
   
   How is the probability of the Iowa Energy scoring more points that the Maine Red Claws affected? If required, round your answer to three decimal places.
   
   Probability =

. The learning styles of students in a university biology course were measured and the students were divided into two groups depending on their propensity towards visual learning (style 1) versustext-based learning (style 2). Severalteaching interventions aimed at visual learners were introduced into the course and the instructors scored the students as to whether or not they showed learning gains compared to the usual text-based materials. The results are given in the table below. Conduct a Chi-square analysis to determine if learning gains were contingent of learning style. Discuss the results and state your conclusions. LS1/Yes:28, LS1/No:10, LS2/Yes:48, LS2/No:114

According to the Kentucky Transportation Cabinet, an average of 167,000 vehicles per day crossed the Brent Spence Bridge into Ohio in 2009. Give the state of disrepair the bridge is currently under, a journalist would like to know if the mean traffic count has increased over the past five years. Assume the population of all traffic counts is bimodal with a standard deviation of 15,691 vehicles per day.
a. What conjecture would the journalist like to find support for in this sample of vehicles?
b. A sample of 75 days is taken and the traffic counts are recorded, completely describe the sampling distribution of the sample mean number of vehicles crossing the Brent Spence Bridge. Type out all supporting work.
c. The sample of 75 days had an average of 172,095.937 vehicles crossing the bridge. What is the probability of observing a sample mean of 172,095.937 vehicles or larger? Type out all supporting work.
d. Based on the probability computed in part c, what can be conclusion can be made about the conjecture? Explain.
e. If the number of sampled days was changed to 25, how would the shape, mean, and standard deviation of the sampling distribution of the sample mean traffic counts be affected?

We have five groups and three observations per group. The group means are 6.5, 4.5, 5.7, 5.7, and 5.1, and the mean square for error is .75. Compute an ANOVA table for these data.

The method of tree ring dating gave the following years A.D. for an archaeological excavation site. Assume that the population of x values has an approximately normal distribution.

(a) Use a calculator with mean and standard deviation keys to find the sample mean year x and sample standard deviation s. (Round your answers to the nearest whole number.)

(b) Find a 90% confidence interval for the mean of all tree ring dates from this archaeological site. (Round your answers to the nearest whole number.)

(a) Write an R function rnormmax that has three arguments, n, mu, and sigm,
# and returns the maximum of a vector of n random numbers from the normal distribution
# with mean mu and standard deviation sigm. Make the arguments mu and sigm optional
# with default values of 0 and 1, respectively.

# (b) Write an R code that replicates rnormmax(n=1000) hundred thousand times and creates
# a histogram of the resulting vector via standard hist function.

The Downtown Parking Authority of Tampa, Florida, reported the following information for a sample of 229 customers on the number of hours cars are parked and the amount they are charged.

a-1. Convert the information on the number of hours parked to a probability distribution. (Round your answers to 3 decimal places.)

a-2. Is this a discrete or a continuous probability distribution? Discrete Continuous

b-1. Find the mean and the standard deviation of the number of hours parked. (Do not round the intermediate calculations. Round your final answers to 3 decimal places.)

b-2. How long is a typical customer parked? (Do not round the intermediate calculations. Round your final answer to 3 decimal places.)

Find the mean and the standard deviation of the amount charged. (Do not round the intermediate calculations. Round your final answers to 3 decimal places.)

Conditions for instruments to be valid include all of the following except: (A) each one of the instrumental variables must be normally distributed. (B) at least one of the instruments must enter the population regression of ?? on the ??s and the ??s. (C) perfect multicollinearity between the predicted endogenous variables and the exogenous variables must be ruled out. (D) each instrument must be uncorrelated with the error term

1. Materials and Introduction:
   1. Each person should have 10 KISSES^® chocolates of the same variety and a 16-ounce plastic cup
   2. Examine one of the KISSES^® chocolates. There are two possible outcomes when a KISSES^® chocolate is tossed - landing completely on the base or not landing completely on the base.
   3. Estimate p, the proportion of the time that a KISSES^® chocolate will land completely on its base when tossed.
   4. We will assume that p is approximately 50% and test the claim that the population proportion of Kisses® chocolates that land completely on the base is less than 50%.
   5. We will assume that p is approximately 35% and test the claim that the population proportion of Kisses® chocolates that land completely on the base is different than 35%.

2. Experiment: The investigation is as follows:

6. Put 10 KISSES^® chocolates into the cup
7. Gently shake the cup twice to help mix up the candies.
8. Tip the cup so the bottom of the rim is approximately 1 – 2 inches from the table and spill the candies.
9. Count the number of candies that land completely on their base.
10. Return the candies to the cup and repeat until you have spilled the candies 5 times.
11. Record your results on the Data Table.

Data Table:

3. Questions

We treat the 50 results for each student as 50 independent trials. Actually, each student has ten independent trials of 5 tosses each. We make the assumption that the 10 tosses within a trial are roughly independent to expedite data collection.

1. We will assume that p is approximately 50% for the following two tests.
   1. Test the claim that the population proportion of Kisses® chocolates that land completely on the base is different than 50% at α = 10% level of significance.

State hypotheses and α:

Calculate the evidence – State test used. Clearly state the p-value.

State the complete decision rule then state clearly your decision.

State your conclusion in context to the problem.

2. Test the claim that the population proportion of Kisses® chocolates that land completely on the base is less than 50% at α = 10% level of significance.

State hypotheses and α:

Calculate the evidence – State test used. Clearly state the p-value.

State the complete decision rule then state clearly your decision.

State your conclusion in context to the problem.

2. We will assume that p is approximately 35% for the following two tests.

1. Test the claim that the population proportion of Kisses® chocolates that land completely on the base is different than 35% at α = 5% level of significance.

State hypotheses and α:

Calculate the evidence – State test used. Clearly state the p-value.

State the complete decision rule then state clearly your decision.

State your conclusion in context to the problem.

(I need your Reference URL LINK, please)

( i need Unique answer, don't copy and paste, please) (dont' use handwriting, please).

I need the answer quickly, please :((((((.. pleaaasssee heeelp mmmeeee// i need all answers, UNIQUE ANSWER please

Q1: Define the following terms:(dont' use handwriting, please)

a. correlation coefficient(dont' use handwriting, please)

b. scatter plot(dont' use handwriting, please)

c. bivariate relationship(dont' use handwriting, please)

Q2: Provide an example where the outlier is more important to the research than the other observations?(dont' use handwriting, please)

Q3: Identify when to use Spearman’s rho (dont' use handwriting, please)

( i need Unique answer, don't copy and paste, please) (dont' use handwriting, please)

Find the​ P-value for the indicated hypothesis test with the given standardized test​ statistic, z. Decide whether to reject

Upper H 0H0

for the given level of significance

alphaα.

​Two-tailed test with test statistic

z=- −2.15 0.08

test statistic

z= -2.15 and α=0.08

​P-value=_____

​(Round to four decimal places as​ needed.)

2)Find the critical​ value(s) and rejection​ region(s) for the indicated​ t-test, level of significance

α​,and sample size n. Left​-tailed ​test,

α=0.10​,

n=13

The critical​ value(s) is/are

I have done some of this on my own but just cant seem to be able to finish this correctly.

Dual-energy X-ray absorptiometry (DXA) is a technique for measuring bone health. One of the most common measures is total body bone mineral content (TBBMC). A highly skilled operator is required to take the measurements. Recently, a new DXA machine was purchased by a research lab, and two operators were trained to take the measurements. TBBMC for eight subjects was measured by both operators. The units are grams (g). A comparison of the means for the two operators provides a check on the training they received and allows us to determine if one of the operators is producing measurements that are consistently higher than the other. Here are the data.

(a)

Take the difference between the TBBMC recorded for Operator 1 and the TBBMC for Operator 2. (Use Operator 1 minus Operator 2. Round your answers to four decimal places.)

x= -0.0022 (this is correct!)

s= 0.0100 (this is correct!)

Use a significance test to examine the null hypothesis that the two operators have the same mean. Give the test statistic. (Round your answer to three decimal places.)

t = ??? (cant get right answer)

Give the degrees of freedom.

7 (this is correct!)

Give the P-value. (Round your answer to four decimal places.)

??? (cant get right answer)

Give your conclusion. (Use the significance level of 5%.)

a) We can reject H₀ based on this sample

or

b) We cannot reject H₀ based on this sample.     

The sample here is rather small, so we may not have much power to detect differences of interest. Use a 95% confidence interval to provide a range of differences that are compatible with these data. (Round your answers to four decimal places.)

( , ) ??? (cant get right answer)

The eight subjects used for this comparison were not a random sample. In fact, they were friends of the researchers whose ages and weights were similar to the types of people who would be measured with this DXA machine. Comment on the appropriateness of this procedure for selecting a sample, and discuss any consequences regarding the interpretation of the significance-testing and confidence interval results.

a) The subjects from this sample may be representative of future subjects, but the test results and confidence interval are suspect because this is not a random sample.

or

b) The subjects from this sample, test results, and confidence interval are representative of future subjects.   

Part IV: Finding exact probabilities. FOR EACH, DRAW A PICTURE AND USE THE Z-TABLE ON CARMEN.

20. The Z-table always gives you the probability of being between ________ and  the number you are looking up.

21. The number you are looking up should have ______digit(s) before the decimal point and _____ digit(s) after the decimal point.

22. Suppose the Z value is 2.00. Which row and column do you look in to find P(0< Z < 2.00)?

23. How do you find P(Z < 2.00)? (Note you have to do this in 2 parts. Hint: What is the probability that Z is less than 0? Use that as one of the parts)

24. How do you find P(Z > 2.00)? (Note the table does not have “>” probabilities. If half of the probability is greater than 0, how much of it must be greater than 2? Draw a picture. )

25. a. What is P(-1.26  < Z < 0)?  (Note the Z table has no negative values. Use SYMMETRY to do this.)

25.  b.  Find P(Z > -1.26)

25.  c. Find P(Z < -1.26)

26.a   Now find P(-1 < Z < 2). Do this in two parts and sum them together. Use symmetry to get the left part.

26b. Find P(1<Z<2)