What type of climate is generally found in costal sage scrub areas? How would this affect recovery after disturbance? Please explain in great detail!

when perfoming the Isolation of the GFP protine lab, what should be present in the collection tubes after each step in the column chromatography? explain in detail please.

Why is customer service important between a salesperson and a client?

What do customer service is lacking in so many companies today?

explain in full detail

Please explain in detail how does 1) social 2) political 3) legal and 4) economic issues affect the stock market?

The more information and examples that you provide for each and the more you explain in detail, the better I will understand. Thank you.

Consider the market for red wine. Medical research suggests that moderate red wine consumption (1-2 glasses per day) reduces the risk of heart problems. Use our market and firm diagrams to trace out both the short run and the long run implications of this news on the market for red wine. Write a few sentences of analysis to go along with the graphs.

A female patient has had her red blood cell count tested on 6 occasions. A mean of 4.4 with sample standard deviation, s, of 0.28 was found. Generally, healthy, female adults have a red blood cell count of 4.8. Conduct a hypothesis test to determine if the red blood cell count for this patient is lower than normal. (Use a = 0.05.)

1.) Describe an application of linear programming that you might find useful where you work, in a course you are taking or in your personal life. Be specific with your answers. This is an opportunity for you to showcase what you have learned about linear programming and your ability to apply your knowledge to real-world applications. A comment such as "I do not use linear programming" will earn no credit. Do not write something general such as "I could use linear programming to maximize profits at work." If this is true, you do not have to formulate a mathematical model with numbers, but you should provide a general scenario and discuss possible constraints, controllable inputs, uncontrollable inputs, etc. (5 points)

2.) Explain why sensitivity analysis is an important part of modeling using linear programming. What is its purpose? This is an opportunity to showcase what you have learned about sensitivity analysis and your ability to apply your knowledge to linear programming. (5 points)

Let x be a random variable that represents red blood cell count (RBC) in millions of cells per cubic millimeter of whole blood. Then x has a distribution that is approximately normal. For the population of healthy female adults, suppose the mean of the x distribution is about 4.64. Suppose that a female patient has taken six laboratory blood tests over the past several months and that the RBC count data sent to the patient's doctor are as follows.

(i) Use a calculator with sample mean and standard deviation keys to find x-bar and s. (Round your answers to two decimal places.)

(ii) Do the given data indicate that the population mean RBC count for this patient is lower than 4.64? Use α = 0.05.

(a) What is the level of significance?


State the null and alternate hypotheses.

H₀: μ < 4.64; H₁:  μ = 4.64

H₀: μ = 4.64; H₁:  μ > 4.64     

H₀: μ = 4.64; H₁:  μ < 4.64

H₀: μ > 4.64; H₁:  μ = 4.64

H₀: μ = 4.64; H₁:  μ ≠ 4.64

(b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution.

The Student's t, since we assume that x has a normal distribution and σ is known.

The standard normal, since we assume that x has a normal distribution and σ is unknown.     

The standard normal, since we assume that x has a normal distribution and σ is known.

The Student's t, since we assume that x has a normal distribution and σ is unknown.

What is the value of the sample test statistic? (Round your answer to three decimal places.)


(c) Estimate the P-value.

P-value > 0.250

0.100 < P-value < 0.250     

0.050 < P-value < 0.100

0.010 < P-value < 0.050

P-value < 0.010

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

(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 = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.

At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.     

At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.05 level to conclude that the population mean RBC count for the patient is lower than 4.64.

There is insufficient evidence at the 0.05 level to conclude that the population mean RBC count for the patient is lower than 4.64.

Let x be a random variable that represents red blood cell count (RBC) in millions of cells per cubic millimeter of whole blood. Then x has a distribution that is approximately normal. For the population of healthy female adults, suppose the mean of the x distribution is about 4.66. Suppose that a female patient has taken six laboratory blood tests over the past several months and that the RBC count data sent to the patient's doctor are as follows.

(i) Use a calculator with sample mean and standard deviation keys to find x and s. (Round your answers to two decimal places.)

(ii) Do the given data indicate that the population mean RBC count for this patient is lower than 4.66? Use α = 0.05.

(a) What is the level of significance?


State the null and alternate hypotheses.

H₀: μ > 4.66; H₁: μ = 4.66H₀: μ = 4.66; H₁: μ < 4.66    H₀: μ < 4.66; H₁: μ = 4.66H₀: μ = 4.66; H₁: μ ≠ 4.66H₀: μ = 4.66; H₁: μ > 4.66

(b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution.

The standard normal, since we assume that x has a normal distribution and σ is unknown.The Student's t, since we assume that x has a normal distribution and σ is unknown.    The Student's t, since we assume that x has a normal distribution and σ is known.The standard normal, since we assume that x has a normal distribution and σ is known.

What is the value of the sample test statistic? (Round your answer to three decimal places.)


(c) Estimate the P-value.

P-value > 0.2500.100 < P-value < 0.250    0.050 < P-value < 0.1000.010 < P-value < 0.050P-value < 0.010

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

(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 = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.    At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.05 level to conclude that the population mean RBC count for the patient is lower than 4.66.There is insufficient evidence at the 0.05 level to conclude that the population mean RBC count for the patient is lower than 4.66.    

Let x be a random variable that represents red blood cell count (RBC) in millions of cells per cubic millimeter of whole blood. Then x has a distribution that is approximately normal. For the population of healthy female adults, suppose the mean of the x distribution is about 4.74. Suppose that a female patient has taken six laboratory blood tests over the past several months and that the RBC count data sent to the patient's doctor are as follows.

(i) Use a calculator with sample mean and standard deviation keys to find x and s. (Round your answers to two decimal places.)

(ii) Do the given data indicate that the population mean RBC count for this patient is lower than 4.74? Use α = 0.05.

(a) What is the level of significance?


State the null and alternate hypotheses.

H₀: μ < 4.74; H₁: μ = 4.74

H₀: μ = 4.74; H₁: μ < 4.74

    H₀: μ = 4.74; H₁: μ > 4.74

H₀: μ = 4.74; H₁: μ ≠ 4.74

H₀: μ > 4.74; H₁: μ = 4.74

(b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution.

The Student's t, since we assume that x has a normal distribution and σ is known.

The Student's t, since we assume that x has a normal distribution and σ is unknown.

     The standard normal, since we assume that x has a normal distribution and σ is unknown.

The standard normal, since we assume that x has a normal distribution and σ is known.

What is the value of the sample test statistic? (Round your answer to three decimal places.)


(c) Estimate the P-value.

P-value > 0.250

0.100 < P-value < 0.250

     0.050 < P-value < 0.100

0.010 < P-value < 0.050

P-value < 0.010

(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 = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.

At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.

    At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.05 level to conclude that the population mean RBC count for the patient is lower than 4.74.

There is insufficient evidence at the 0.05 level to conclude that the population mean RBC count for the patient is lower than 4.74