A psychologist interested in examining workplace stress recruits 30 adults and administered a stress questionnaire to them. The questionnaire’s scores ranged from 0-20 with lower scores indicating lower amounts of stress and higher scores indicating significant amounts of stress. On average, workers tend to score a 10. Results from this questionnaire showed workers at this company on average scored 15 with a standard deviation estimate of 3.96. Test the viability that µ = 10 using a one-sample t-test

Please use minitab, and show the steps to get to the solution. Meaning: Go to Stat, basic statistics, etc, etc.

Forty sewage samples a waste water treatment plant were collected from a recent EPA report. The ppm of suspended solids in each specimen is presented in the following table. (a) Examine descriptive statistics of the mean, median, standard deviation, first quartile, third quartile, minimum value, and maximum value. What do these statistics indicate about the shape of the population distribution? (b) Create a histogram with binning center points at 30, 40, 50, 60, 70, 80, 90, and 100. What does the shape of the histogram tell of about the shape of the population distribution? (c) Construct a normal probability plot, a lognormal probability plot, and a Weibull probability plot of these data. Allow Minitab to estimate the best fit parameters for each distribution. Based on the plots and associated Anderson-Darling (AD) fit statistics, identify which distribution seems to be the best fit model at α = 0.05 for suspended solid material (ppm) in water. 59.4 44.3 55.4 39.9 50.8 45.9 53.4 80.7 68.8 40.3 49.5 64.5 48.4 82.4 33.6 75.3 37.4 50.6 62.7 56.2 86.8 42.7 44.2 30.7 43.4 50.9 44.8 69.1 102.2 53.1 68.9 43.6 59.1 79.6 90.7 51.6 71.2 55.3 59.6 50.8

People were polled on how many books they read the previous year. Initial survey results indicate that s equals 17.4 books. Complete parts ​(a) through ​(d) below.

a. How many subjects are needed to estimate the mean number of books read the previous year with 90​% ​confidence?

this 90% confidence requires ___ subjects?

b. How many subjects are needed to estimate the mean number of books read the previous year within three books with 90% confidence?

this 90% confidence requires ___ subjects?

c. How many subjects are needed to estimate the mean number of books read the previous year within six books with 99% confidence?

this 99% confidence requires ___ subjects?

8.

A sample of 400 observations will be taken from an infinite population. The population proportion equals 0.8. The probability that the sample proportion will be greater than 0.83 is

Select one:

a. 0.4332

b. 0.0668

c. 0.9332

d. 0.5668

9.

Four hundred people were asked whether gun laws should be more stringent. Three hundred said "yes," and 100 said "no". The point estimate of the proportion in the population who will respond "yes" is

Select one:

a. 300

b. approximately 300

c. 0.75

d. 0.25

Directions: Use SPSS to compute the Regression Line.

Problem: Using the following set of data and Excel, compute the regression line. The data set represents the number of hours of training to predict how severe injuries will be if someone is injured playing football. Briefly summarize your findings.

1. IDENTIFY THE INDEPENDENT AND DEPENDENT VARIABLES
2. IDENTIFY THE REGRESSION LINE Y’
3. WHAT IS THE P-VALUE?
4. IF THE P-VALUE SIGNIFICANT?
5. DO YOU ACCEPT OR REJECT THE NULL?
6. WHAT DOES YOUR DECISION MEAN?

A hospital conducted a study of the waiting time in its emergency room. The hospital has a main campus and three satellite locations. Management has a business objective of reducing waiting time for emergency room cases that do not require immediate attention. To study this, a random sample of 15 emergency room cases that did not require immediate attention at each location were selected on a particular day, and the waiting time (measured from check-in to when the patient was called into the clinic area) were collected and stored in ER.

a. At the 0.05 level of significance, is there evidence of a difference in the mean waiting times in the four locations?

b. Does the result in (a) give you statistical permission to probe for individual differences between hospital locations?

I WANT THE ANSWER IN EXCEL USING THE DATA ANALYSIS....DO NOT PROVIDE A HAND WRITTEN ANSWER...I'm trying to understand the functions in excel

For this problem, carry at least four digits after the decimal in your calculations. Answers may vary slightly due to rounding. In a combined study of northern pike, cutthroat trout, rainbow trout, and lake trout, it was found that 24 out of 851 fish died when caught and released using barbless hooks on flies or lures. All hooks were removed from the fish.

(a) Let p represent the proportion of all pike and trout that die (i.e., p is the mortality rate) when caught and released using barbless hooks. Find a point estimate for p. (Round your answer to four decimal places.)

(b) Find a 99% confidence interval for p. (Round your answers to three decimal places.)

lower limit

upper limit

Give a brief explanation of the meaning of the interval.

1% of the confidence intervals created using this method would include the true catch-and-release mortality rate.

1% of all confidence intervals would include the true catch-and-release mortality rate.

99% of the confidence intervals created using this method would include the true catch-and-release mortality rate.

99% of all confidence intervals would include the true catch-and-release mortality rate.

(c) Is the normal approximation to the binomial justified in this problem? Explain.

Yes; np > 5 and nq > 5.

No; np > 5 and nq < 5.

No; np < 5 and nq > 5.

Yes; np < 5 and nq < 5.

Suppose that you belong to a panel with representatives from the Ministry of the Environment and the Accreditation Services Branch of the Standards Council of Canada. You are responsible for testing scrubbers, i.e. devices to capture carbon dioxide from smokestacks. You do so by measuring how much carbon dioxide they capture in a standard lab setting.

A manufacturer has stated, "When our Scrubber 2 is installed in the standard lab setting, the amount of carbon dioxide captured follows a normal distribution with a mean of more than 800 tons." You are responsible for verifying this. For five different Scrubber 2's, you record the following noisy data indicating the number of tons of carbon dioxide captured:

• 503, 854, 647, 701, 620

Question: Suppose that you're curious as to whether there's a difference between the Scrubber 2 and its predecessor, the Scrubber 1, in terms of the average amount of carbon dioxide captured. For four different Scrubber 1's, you take additional measurements in the standard lab setting:

• 683, 305, 377, 539

Consider the data set of now nine points. You do not wish to assume that either group follows a normal distribution. Would a randomization test be appropriate to assess the difference in means? If yes, run it and report your results. If no, suggest and perform an alternative.

State any assumptions you make.

#3

Sand and clay studies were conducted at a site in California. Twelve consecutive depths, each about 15 cm deep, were studied and the following percentages of sand in the soil were recorded.

​

​

Convert this sequence of numbers to a sequence of symbols A and B, where A indicates a value above the median and B denotes a value below the median.  Test the sequence for randomness about the median with a 5% level of significance. What is the value of the sample test statistic R, the number of runs?

​

R = 8

R = 9

R = 7

R = 4

R = 6

Cholesterol levels were collected from patients two days after they had a heart attack (Ryan, Joiner & Ryan, Jr, 1985) and are in table #3.3.10.

Find the five-number summary and interquartile range (IQR) (3points), and draw a box-and-whiskers plot with all the components labeled (3 points). Extra Credit (2points): State the shape of the distribution (1 point), upper and lower fence (2 points), and if there are any outliers (1 point).

16.An experiment is rolling a fair dieand then flipping a fair coin.

a.)State and write out all the points in the sample space.

b.)Find the probability of getting a head.  Make sure you state the event space.

c.)Find the probability of getting a 6 or a head.

d.)Find the probability of getting a 3 and a tail.

1) If you were designing a study that would benefit from a narrow range of data points, you would want the input variable to have: a large standard deviation a small mean a small margin of error a small sample size

If) a computer manufacturer needed a supplier that could produce parts that were very precise, what characteristics would be better? narrow confidence interval at low confidence level wide confidence interval with high confidence level narrow confidence interval at high confidence level wide confidence interval with low confidence level

The file P08_06.xlsx contains data on repetitive task times for each of two workers. John has been doing this task for months, whereas Fred has just started. Each time listed is the time (in seconds) to perform a routine task on an assembly line. The times shown are in chronological order. a. Calculate a 95% confidence interval for the standard deviation of times for John. Do the same for Fred. What do these indicate? b. Given that these times are listed chronologically, how useful are the confidence intervals in part a? Specifically, is there any evidence that the variation in times is changing over time for either of the two workers? Please provide it as per the Excel.

Values of modulus of elasticity (MOE, the ratio of stress, i.e., force per unit area, to strain, i.e., deformation per unit length, in GPa) and flexural strength (a measure of the ability to resist failure in bending, in MPa) were determined for a sample of concrete beams of a certain type, resulting in the following data: MOE 29.9 33.4 33.6 35.3 35.4 36.2 36.3 36.5 37.7 37.9 38.6 38.8 39.7 41.2 Strength 6.0 7.1 7.3 6.1 8.0 6.6 6.8 7.7 6.7 6.7 7.0 6.5 8.1 8.8 MOE 42.8 42.8 43.4 45.8 45.8 47.0 48.1 49.2 51.8 62.6 69.9 79.6 80.2 Strength 8.3 8.8 8.0 9.6 7.6 7.5 9.7 7.7 7.5 11.6 11.5 11.8 10.9 Fitting the simple linear regression model to the n = 27 observations on x = modulus of elasticity and y = flexural strength given in the data above resulted in ŷ = 7.576, sy hat = 0.178 when x = 40 and ŷ = 9.777, sy hat = 0.251 for x = 60. (a) Explain why sy hat is larger when x = 60 than when x = 40. The closer x is to x, the smaller the value of sy hat. The farther x is from y, the smaller the value of sy hat. The farther x is from x, the smaller the value of sy hat. The closer x is to y, the smaller the value of sy hat. (b) Calculate a confidence interval with a confidence level of 95% for the true average strength of all beams whose modulus of elasticity is 40. (Round your answers to three decimal places.) , MPa (c) Calculate a prediction interval with a prediction level of 95% for the strength of a single beam whose modulus of elasticity is 40. (Round your answers to three decimal places.) , MPa (d) If a 95% CI is calculated for true average strength when modulus of elasticity is 60, what will be the simultaneous confidence level for both this interval and the interval calculated in part (b)? The simultaneous confidence level for these intervals is at least

Does the research problem derive from theory, prior research, or methodological considerations? Explain the rationale for your response and what part of the narrative you used to arrive at the answer.

The relationship between government agencies and nonprofit organizations is the focus of
increasing attention within the public administration community. Practitioners recognize that the
organization of public services relies to a substantial degree upon what we have come to call

third-party government (Salamon, 1981). Nongovernmental actors not only deliver govern-
ment-funded services but also actively participate throughout the policy process. Often the

third-party is a nonprofit organization. In the last decade or so, researchers from a variety of
disciplines have examined this evolutionary development more closely (Kramer, 1981; Salamon
and Abramson, 1982; Salamon, 1987; Gronbjerg, 1987; Ostrander, Langton, and Van Til,
1987; Lipsky and Smith, 1989-90; Wolch, 1990; Provan and Milward, 1990). A 1989 National
Academy of Public
Administration report, Privatization: The Challenge to Public Management, urged that
public administrators and policymakers in general acknowledge the significant management
challenges posed by government programs that involve such "tools of government action" as
contracting out, loan guarantees, government sponsored enterprises, and vouchers (Salamon,
1989b).
Within this context of extensive sharing of responsibility between governmental and
nongovernmental actors for operating public programs, the government/nonprofit relationship is
widely acknowledged as a critical element. The shrinking capacity of public organizations,
increasing demand for services, and continuing trend toward decentralized program delivery
underscore its importance. At the same time, an understanding of the precise character of the
state/voluntary sector relationship and the degree of interdependence between public agencies
and nonprofit organizations requires additional empirical investigation.
Research findings reported here describe that relationship in terms of the dependence of
public agencies and nonprofit organizations on each other for resources and their resulting
interdependence.
The framework laid out in this study emerged from a synthesis of three sources: (1) the
perspectives of organization theory, especially power/dependence and resource dependence,
and bureaucratic politics; (2) a series of exploratory model refinement interviews with four
public-sector and five nonprofit- sector participants in an earlier policy study (Dawes and

Saidel, 1988); and (3) a field pretest in June-July 1989, with 20 state agency and 20 nonprofit
administrators from four service areas.
Emerson's (1962) theory of reciprocal power-dependence relations provided the
building blocks for the framework used in this research. He reasoned that the power of A
over B is equal to, and based upon, the dependence of B upon A. Recognizing the
reciprocity of social relations, we can represent a power-dependence relation as a pair of
equations:
Pab = Dba
Pba = Dab (Emerson, 1962, p. 33).
For the purposes of this study, if a becomes s for state agencies and b becomes n for
nonprofit organizations, the equations can be read as follows:
The power of state agencies over nonprofit organizations equals the dependence of
nonprofit organizations on state agencies for resources (Psn
= Dns).
The power of nonprofit organizations over state agencies equals the dependence of
state agencies on nonprofit organizations for resources (Pns = Dsn).
The use of Dsn and Dns yields two measures of resource dependence that, taken
together, delineate a current picture of resource interdependence between state and
nonprofit organizations.