What are​ companies' biggest obstacles to attracting the best​ talent? Of 1,000 surveyed U.S. and Canadian talent acquisition​ professionals, 510 reported that competition for talent is the biggest obstacle at their company. At the 0.01 level of​ significance, is there evidence that the proportion of all talent acquisition professionals who report competition is the biggest obstacle to attracting the best talent at their company is different from 47​%?

1. Calculate the test statistic ZSTAT.
2. Identify the​ p-value from your technology​ output, rounding to three decimal places.
3. Conclusion: Is there significant evidence to conclude that there is strong evidence in support of the claim that the proportion of all talent acquisition professionals who report competition is the biggest obstacle to attracting the best talent at their company is different from 61​%. ​

As part of a study of wheat maturation, an agronomist selected a sample of wheat plants at random from a field plot. For each plant, the agronomist measured the moisture content from two locations: one from the central portion and one from the top portion of the wheat head. The agronomist hypothesizes that the central portion of the wheat head has more moisture than the top portion. What can the agronomist conclude with α = 0.01? The moisture content data are below.

a) What is the appropriate test statistic?
---Select--- na z-test One-Sample t-test Independent-Samples t-test Related-Samples t-test

b)
Condition 1:
---Select--- wheat maturation top portion moisture content wheat head central portion
Condition 2:
---Select--- wheat maturation top portion moisture content wheat head central portion

c) Compute the appropriate test statistic(s) to make a decision about H₀.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
critical value =  ; test statistic =
Decision:  ---Select--- Reject H0 Fail to reject H0

d) If appropriate, compute the CI. If not appropriate, input "na" for both spaces below.
[  ,  ]

e) Compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
d =  ;   ---Select--- na trivial effect small effect medium effect large effect
r² =  ;   ---Select--- na trivial effect small effect medium effect large effect

f) Make an interpretation based on the results.

The central portion of the wheat head had significantly more moisture than the top portion.The central portion of the wheat head had significantly less moisture than the top portion.    There was no significant moisture difference between the central and top portion of the wheat head.

A manager of a large office responsible for sustainability conducted a survey amongst her staff to find out how they travelled to work, and how punctual they were. The survey results were, for those surveyed: 25% of the staff took a bus to work, 40% took a car to work and the remainder cycled or walked (the sustainable option). If a staff member took a bus they were late 20% of the time, if a staff member took a car they were late 15% of the time and the remainder (those who cycled or walked) were never late.

(a) Complete the tree diagram below by writing the relevant probabilities on each branch and at the ends of the branches.

(b) Use the tree diagram to answer the following. Write down the calculations needed to find the answers:

(i) What is the probability that a randomly chosen staff member was late to work?

(ii) Given that a staff member was late, what is the probability they came to work by bus?

Estimating Mean SAT Math Score

The SAT is the most widely used college admission exam. (Most community colleges do not require students to take this exam.) The mean SAT math score varies by state and by year, so the value of µ depends on the state and the year. But let’s assume that the shape and spread of the distribution of individual SAT math scores in each state is the same each year. More specifically, assume that individual SAT math scores consistently have a normal distribution with a standard deviation of 100. An educational researcher wants to estimate the mean SAT math score (μ) for his state this year. The researcher chooses a random sample of 616 exams in his state. The sample mean for the test is 481.

Find the 99% confidence interval to estimate the mean SAT math score in this state for this year.

(Note: The critical z-value to use, zc, is: 2.576.)

( , )

Your answer should be rounded to 3 decimal places.

1.A researcher is investigating the effect of a new drug to lower anxiety. The drug was shown to be safe in humans, and the researcher wants to test what dosage of the drug is needed. He assigned twenty participants with clinical anxiety disorder to four treatment groups, then gave each the treatment regimen for four weeks. At the end of the trial, the participants took an anxiety test. The scores, corrected for initial anxiety score, are reported in the table below. Lower scores indicate lower anxiety levels. Analyze the data to determine if there is any difference in anxiety scores between the groups, and if there is a difference, determine and explain which treatment is most effective

1. What kind of statistical test will you be performing?
2. Will you need to test for equal variance? If so, what are your results and how does that influence the next steps in your analysis?
3. What are your null and alternative hypotheses?
4. Discuss the results of your analysis. Will you accept or reject your null hypothesis? Why? What can you specifically say about the data?

Alcohol withdrawal occurs when a person who uses alcohol excessively suddenly stops the alcohol use. Studies have shown that the onset of withdrawal is experienced a mean of 40.5 hours after the last drink, with a standard deviation of 19 hours. A sample of 38 people who use alcohol excessively is to be taken. What is the probability that the sample mean time between the last drink and the onset of withdrawal will be 39 hours or more?

Carry your intermediate computations to at least four decimal places. Round your answer to at least three decimal places.

the amount of things that are done to understand a physical educational study was based on the data below. Homework number #1

1. The claimed height (which is in inches) and weights (which is in pounds) of animals is significantly correlated, mean row(p) 0. Data has been collected which is below. Test this claim with statkey at a 5% significance level (alpha) and find the 98% confidence interval (using percentiles) for the true correlation between height and weight. Explain the test results consistent with the confidence interval and why? Note there are two statkey involved.

2. What is the Ho and Ha?

3. What is your alpha?

4. What is your p-value?

5. Conclusion?

6. 98% confidence interval?

7. Is it consistent?

8. Can you conclude multiple testing to be a good or bad idea in general and why?

A medical researcher wants to begin a clinical trial that involves systolic blood pressure (SBP) and cadmium (Cd) levels. However, before starting the study, the researcher wants to confirm that higher SBP is associated with higher Cd levels. Below are the SBP and Cd measurements for a sample a participants. What can the researcher conclude with an α of 0.01?

a) What is the appropriate statistic?
---Select--- na Correlation Slope Chi-Square
Compute the statistic selected above:

b) Compute the appropriate test statistic(s) to make a decision about H₀.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
critical value =  ; test statistic =
Decision:  ---Select--- Reject H0 Fail to reject H0

c) Compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
effect size =  ;   ---Select--- na trivial effect small effect medium effect large effect

d) Make an interpretation based on the results.

There was a significant positive relationship between systolic blood pressure and cadmium levels.There was a significant negative relationship between systolic blood pressure and cadmium levels.    There was no significant relationship between systolic blood pressure and cadmium levels.

Two groups of students are selected to test different learning techniques. The test scores of group 1 were: 95, 73, 68, 95, 98, 79, 98, 86, 76, 89, 89, 94. The test scores of group 2 were: 100, 80, 95, 90, 95, 98, 100, 100. Can it be said with 95% confidence that one group outperformed the other?

Q.1: The iris dataset (included with R) contains four measurements for 150 flowers representing three species of iris (Iris setosa, versicolor and virginica). 1. Inspect the Iris data in R. 2. Use the summary code in R to perform descriptive analysis. Paste Summary statistics in your report. 3. Draw a scatter plot, for petal length vs petal width. 4. Find all possible correlation between quantitative variables. 5. Use Function lm for developing a regression model and paste the summary of the regression model in your report----Petal.Width ~ Petal.Lengt and for Sepal.Length ~ Sepal.Width

Suppose µX and µY are the true mean stopping distances when starting at 50 mph for cars of a
certain type equipped with two different braking systems (System X vs. System Y). The
following data was obtained for each braking system:

System X    System Y
nx = 8           ny = 8
x = 85.7 ft    y = 96.3 ft
sx = 4.36 ft sy = 5.18 ft
Consider the following hypotheses:
Ho: µX - µY = -5
Ha: µX - µY < -5
As indicated by the alternative hypothesis, it is believed that cars equipped with System X
are able to stop over a shorter distance than cars equipped with System Y. Does the data
support this hypothesis at the 1% level?

Identify the advantages and disadvantages of monetary-unit sampling.

The advantages include that monetary-unit-sampling will result in a smaller sample size than classical variable sampling. It also results in a stratified sample item when samples are selected using MUS. The results of the calculation of sample size and the evaluation of the sample aren't based on the standard deviation. The disadvantages include the overstatement of the allowance of sampling risk if MUS is used to detect misstatements. Special design consideration is required using a selection of zero or negative balances. The sample error is assumed to be no more than 100%.

Can you expound further on this? Thanks!

Construct the confidence interval for the population mean

muμ.

cequals=0.980.98 ,

x overbar equals 9.1x=9.1 ,

sigmaσequals=0.40.4 ,

and

nequals=4141

A 9898 % confidence interval for muμ is (___,___) (Round to two decimal places as needed.)

Kaneko has two groups. She randomly assigns subjects to her two groups. She has one group read a news article about the importance of a public speaking classes to one’s ability to get a job, while the other group reads a news article about a recent college football game that took place at her university. Then she asks both groups to rate how important they believe a public speaking class is to one’s ability to get a job(0-50). She thinks the groups will be different but does not make a specific prediction about the direction of the difference. She wants to use α = .01. Public SpeakingGroupFootball GroupMean4530s64n4035a.What test should Kaneko use?b.Write out Kaneko’s null and alternative hypotheses in formula form.c.What is the calculated value?d.What is the critical value using α = .01?e.Make a statistical and substantive conclusion for the above problem.f. Calculate eta-square and omega-square for this problem. Interpret what these numbers mean.