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

Describe the data

Research wants to know what proportion of students graduate of the manicurist class in 2018 from WBI have a California State Board Manicurist License. The researcher asks the following question:

“Are you have a California State Board manicurist License yes or not?”. The Source of Bias is Sampling Bias because the technique used to obtain the individuals to be a sample tends to favor one part of the population over another.

for each of these values write a sentence explaining what it tells you about results in your survey, what each value tell us specifically about your sample

1. Write notes on Multicollinearity

Your answer should

1. define what the issue is
2. explain whether, or under what circumstances, it causes

a problem for inference in OLS regression

3. explain how it can be detected (if it can)
4. state what action, if any, you should take to deal with the issue

Respond to the following in a minimum of 175 words, please type response:

The standard error of the estimate of the mean is represented by the equation: σ√n Discuss what this equation means, using your own words and explain why we use it. Consider how it relates to the fact that we are making assumptions about the population and not just the sample.

You have been hired as the new marketing manager for a manufacturer of industrial fork lifts. One of your first tasks is to identify market segments for their products. Thinking about the requirements for effective market segments, what criteria would you use for evaluating the desirability of potential market segments? Identify the criteria, and in a sentence or two explain what each of the criteria means.

Electronic Commerce Act, 2000

1. Locate the Electronic Commerce Act, 2000 on Canlii, and attach a screenshot of the Act in your answer document.
2. What section of the Electronic Commerce Act, 2000 states that electronic contracts are legally enforceable?
3. A) If a contract is required by law to be in writing, how can this requirement be satisfied electronically? B) What section of the Electronic Commerce Act, 2000 contains this rule?
4. A) What section of the Electronic Commerce Act, 2000 describes the requirements that must be satisfied for an electronic document to be considered an original document? B) In your own words, what are the 2 requirements?

<!DOCTYPE html>
<html>
<body>
<script>
//
// The colors red, blue, and yellow are known as the primary colors because they
// cannot be made by mixing other colors. When you mix two primary colors, you
// get a secondary color, as shown here:
//
//              When you mix red and blue, you get purple.
//              When you mix red and yellow, you get orange.
//              When you mix blue and yellow, you get green.
//
// Design a program that prompts the user to enter the names of two primary colors
// to mix. If the user enters anything other than “red,” “blue,” or “yellow,” the
// program should display an error message. Otherwise, the program should display
// the name of the secondary color that results.
//

function findSecondaryColor(color1, color2) {

/////////////////////////////////////////////////////////////////////////////////
// Insert your code between here and the next comment block.  Do not alter     //
// any code in any other part of this file.                                    //
/////////////////////////////////////////////////////////////////////////////////


/////////////////////////////////////////////////////////////////////////////////
// Insert your code between here and the previous comment block.  Do not alter //
// any code in any other part of this file.                                    //
/////////////////////////////////////////////////////////////////////////////////

}

var color1 = prompt("What is the first primary color you'd like to mix? (red, blue or yellow) ");
var color2 = prompt("What is the first second color you'd like to mix? (red, blue or yellow) ");

alert(findSecondaryColor(color1, color2));

</script>
</body>
</html>

Operating a search program can be difficult. Identify how product sites, audiences, countries and technology contribute to the difficulties with operating a search program. Please explain in detail. Write a 350 word paper on this topic and cite your sources.