Create Frequency table ( with intervals, frequency, relative frequency, and cumulative relative frequency )

Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the overall health and physical activity of an individual. Suppose that a random sample of 44 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that σ = 7.30 ml/kg for the distribution of blood plasma.

(a) Find a 99% confidence interval for the population mean blood plasma volume in male firefighters. What is the margin of error? (Round your answers to two decimal places.)

(b) What conditions are necessary for your calculations? (Select all that apply.)

the distribution of weights is normaln is largeσ is knownσ is unknownthe distribution of weights is uniform

(c) Interpret your results in the context of this problem.

99% of the intervals created using this method will contain the true average blood plasma volume in male firefighters.The probability that this interval contains the true average blood plasma volume in male firefighters is 0.01.     The probability that this interval contains the true average blood plasma volume in male firefighters is 0.99.1% of the intervals created using this method will contain the true average blood plasma volume in male firefighters.

(d) Find the sample size necessary for a 99% confidence level with maximal margin of error E = 2.00 for the mean plasma volume in male firefighters. (Round up to the nearest whole number.)
male firefighters

Researchers were interested in learning the effects of trans fats on levels of cholesterol in the blood. Two different research designs were constructed.

Part I: Between-Groups Design

In the between-groups design, researchers were interested in whether cholesterol levels would differ depending on diet. Twenty participants were randomly assigned to one of two different groups. Group A was assigned a diet rich in fruits and vegetables and with no trans fats. Group B participants were asked to follow their normal diets, which contained varying levels of trans fats depending on the individual. After one month, blood samples were drawn and the following levels of cholesterol were obtained:

In 2 to 3 sentences in a Microsoft Word document, answer the following questions:

• What is the independent variable in this study?
• What are the levels of that independent variable?
• What is the dependent variable?

Using your own words explain the meaning of the global significance test. Show how the null and alternative hypothesis are setup, the F test and what the critical value for this test is.

Discuss the three measures of central tendency. Give an example for each that applies to the measure to employee evaluation / rating and discusses how the measure is used. What are the advantages and disadvantages for each of the three measures? How do outliers affect each of these three measures? What are some options for handling outliers?

Q3: Suppose that of all individuals buying a certain personal computer, 60% include a word processing program in their purchase, 40% include a spreadsheet program, and 30% include both types of programs. We are interested in knowing the inclusion of the programs.

a) Write out the sample space for the problem.

b) Find the probability that a word processing program was included given that the selected individual was included a spreadsheet program.

c) Are the vents “word processing program was included” and the event “selected individual was included a spreadsheet program” independent?

Please walk me through SPSS to answer this question, NOT just answer it but please show me how you did it on SPSS...

Consider the data below of inches of rainfall per month for two different regions in the Northwestern United States:

   Plains Mountains

April 25.2 13.0

May 17.1 18.1

June 18.9 15.7

July 17.3 11.3

August 16.5 14.0

Using SPSS, perform a two-sample t-test for the hypothesis that there is not the same amount of rainfall in both regions in the Northwestern United States with a significance level of 0.025. What are the degrees of freedom of your test statistic?

Three equations for the course average of ADMS are estimated as follows. The first equation is for men, and the second equation is for women. The third equation combines men and women.

??=20.52+13.60?1+0.670?2 n = 406, R2 = 0.4025, SSR = 38,781.38
(3.72) (0.94) (0.150)
??=13.79+11.89?1+1.03?2 n = 408, R2 = 0.3666, SSR = 48,029.82
(4.11) (1.09) (0.18)
?=15.60+3.17?+12.82?1+0.838?2 n = 814, R2 = 0.3946, SSR = 87,128.96
(2.80) (0.73) (0.72) (0.116)

Where ym = course average for men, yw= course average for women, x1 = overall GPA, x2 = ACT score, m = 1 for men.

A. You are to conduct Chow test that the regression equations are same for men and women:
- 1. State the hypotheses.
- 2. Compute the test statistic
- 3. Based on the computed value above, draw your conclusion (show your educated guess without the table)

B. With the third equation, test if the dummy variable is significant.

C. With the two tests conducted above, do you find any inconsistency? If yes, how can you interpret this outcome?

2 girls have 25 outfits each. Each girl has one and only one outfit that matches the other girls. What is the probability that the girls wear matching outfits twice in 21 days?

According to literature on brand loyalty, consumers who are loyal to a brand are likely to consistently select the same product. This type of consistency could come from a positive childhood association. To examine brand loyalty among fans of the Chicago Cubs, 374 Cubs fans among patrons of a restaurant located in Wrigleyville were surveyed prior to a game at Wrigley Field, the Cubs' home field. The respondents were classified as "die-hard fans" or "less loyal fans." Of the 132 die-hard fans, 93.9%reported that they had watched or listened to Cubs games when they were children. Among the 242 less loyal fans, 67.8% said that they watched or listened as children. (Let D = p_die-hard − p_{less loyal}.)

(a) Find the numbers of die-hard Cubs fans who watched or listened to games when they were children. Do the same for the less loyal fans. (Round your answers to the nearest whole number.)

(b) Use a one sided significance test to compare the die-hard fans with the less loyal fans with respect to their childhood experiences relative to the team. (Use your rounded values from part (a). Use α = 0.01. Round your z-value to two decimal places and your P-value to four decimal places.)

Conclusion

Fail to reject the null hypothesis, there is not significant evidence that a higher proportion of die hard Cubs fans watched or listened to Cubs games as children.

Reject the null hypothesis, there is significant evidence that a higher proportion of die hard Cubs fans watched or listened to Cubs games as children.     

Reject the null hypothesis, there is not significant evidence that a higher proportion of die hard Cubs fans watched or listened to Cubs games as children.

Fail to reject the null hypothesis, there is significant evidence that a higher proportion of die hard Cubs fans watched or listened to Cubs games as children.

(c) Express the results with a 95% confidence interval for the difference in proportions. (Round your answers to three decimal places.)

Consider the hypotheses shown below. Given that x over bar (x) equals 112​, sigma (standard deviation) equals 26​, n equals 40​, alpha (a) equals 0.05​, complete parts a and b. Upper H 0​: mu equals 118 Upper H 1​: mu not equals 118

a. What conclusion should be​ drawn?

b. Determine the​ p-value for this test.

what is the critical z-score? and can someone please show me how to find the critical z- score please

Can someone explain how to find the P Value in Question 10, Chapter 9.1 of Applied Statistics and Probability for Engineers? Or just the general steps and cases for finding the P Value.

I flip a fair coin and recorded the result. If it is head, I then roll a 6-sided die: otherwise, I roll a 4-sided die and record the results. Let event A be the die has a 3 or greater. let event B be I flip tails. (a)-List all the outcomes in the Sample space (b)- List the outcomes in Event A and B (c)- List the outcomes in A or not B (d)- Calculate the probability of event A (e) Calculate the probability of A and not B.

Find the following probabilities based on the standard normal variable Z. (You may find it useful to reference the z table. Round your answers to 4 decimal places.)

a.P(Z > 1.18)

b.P(Z ≤ −1.68)

c.P(0 ≤ Z ≤ 1.87)

d.P(−0.99 ≤ Z ≤ 2.82)