Questions
#9. Assume that human body temperatures are normally distributed with a mean of 98.23 °F and...

#9.

Assume that human body temperatures are normally distributed with a mean of 98.23 °F and a standard deviation of 0.63 °F.

1. A hospital uses 100.6 °F as the lowest temperature considered to be a fever. What percentage of normal and healthy persons would be considered to have a​ fever? Does this percentage suggest that a cutoff of 100.6 °F is​ appropriate?

2. Physicians want to select a minimum temperature for requiring further medical tests. What should that temperature​ be, if we want only​ 5.0% of healthy people to exceed​ it? (Such a result is a false​ positive, meaning that the test result is​ positive, but the subject is not really​ sick.)

a. The percentage of normal and healthy persons considered to have a fever is __

a1. Does this percentage suggest that a cutoff of 100.6 °F is​ appropriate?

b. The minimum temperature for requiring further medical tests should be __ if we want only​ 5.0% of healthy people to exceed it.

#8

A survey found that​ women's heights are normally distributed with mean 63.4 in and standard deviation 2.4 in. A branch of the military requires​ women's heights to be between 58 in and 80 in.

a. Find the percentage of women meeting the height requirement. Are many women being denied the opportunity to join this branch of the military because they are too short or too​ tall?

b. If this branch of the military changes the height requirements so that all women are eligible except the shortest​ 1% and the tallest​ 2%, what are the new height​ requirements?

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An automobile license plate consists of 3 letters followed by 4 digits. How many different plates...

An automobile license plate consists of 3 letters followed by 4 digits. How many different plates can be made:

a. If repetitions are allowed?

b. If repetitions are not allowed in the letters but are allowed in the digits?

c. If repetitions are allowed in the letters but not in the digits?

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Sigall and Ostrove (1975) did an experiment to assess whether the physical attractiveness of a defendant...

Sigall and Ostrove (1975) did an experiment to assess whether the physical attractiveness of a defendant on trial for a crime had an effect on the severity of the sentence given in mock jury trials. Each of the participants in this study was randomly assigned to one of the following three treatment groups; every participant received a packet that described a burglary and gave background information about the accused person. The three treatment groups differed in the type of information they were given about the accused person’s appearance. Members of Group 1 were shown a photograph of an attractive person; members of Group 2 were shown a photograph of an unattractive person; members of Group 3 saw no photograph. Some of their results are described here. Each participant was asked to assign a sentence (in years) to the accused person; the researchers predicted that more attractive persons would receive shorter sentences.
a. Prior to assessment of the outcome, the researchers did a manipulation check. Members of Groups 1 and 2 rated the attractiveness (on a 1 to 9 scale, with 9 being the most attractive) of the person in the photo. They reported that for the attractive photo, M = 7.53; for the unattractive photo, M = 3.20, F(1, 108) = 184.29. Was this difference statistically significant (using α = .05)?
b. What was the effect size for the difference in (2a)?
c. Was their attempt to manipulate perceived attractiveness successful?
d. Why does the F ratio in (2a) have just df = 1 in the numerator?
e. The mean length of sentence given in the three groups was as follows:
Group 1: Attractive photo, M = 2.80
Group 2: Unattractive photo, M = 5.20
Group 3: No photo, M = 5.10
They did not report a single overall F comparing all three groups; instead, they reported selected pairwise comparisons. For Group 1 versus Group 2, F(1, 108) = 6.60, p < .025.
    Was this difference statistically significant? If they had done an overall F to assess the significance of differences of means among all three groups, do you think this overall F would have been statistically significant?
f. Was the difference in mean length of sentence in part (2e) in the predicted direction?
g. Calculate and interpret an effect-size estimate for this obtained F.
h. What additional information would you need about these data to do a Tukey honestly significant difference test to see whether Groups 2 and 3, as well as 1 and 3, differed significantly?

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Suppose you choose a coin at random from an urn with 3 coins, where coin i...

Suppose you choose a coin at random from an urn with 3 coins, where coin i has P(H) = i/4. What is the pmf for your prior distribution of the probability of heads for the chosen coin? What is your posterior given 1 head in 1 flip? 2 heads in 2 flips? 10 heads in 10 flips?Hint: Compute the odds for each coin first.

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1. Describe how the education of healthcare professionals impacts the delivery of healthcare services in the...

1. Describe how the education of healthcare professionals impacts the delivery of healthcare services in the community and around the world.

2. Describe two capabilities/competencies required of today’s healthcare professionals in addition to those related to their professional specialization and how these additional capabilities/competencies assist in the long-term process of optimizing global health.

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We are given 3 urns as follows: Urn A contains 3 red and 5 white marbles,...

We are given 3 urns as follows: Urn A contains 3 red and 5 white marbles, Urn B contains 2 red and one white marble, Urn C contains 2 red and 3 white marbles. Construct the probability tree. Suppose that a urn is randomly selected and a marble is drawn from the selected urn. If the marble is red what is the probability that it came from urn A?

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Using the weather Markov chain simulate the weather over 10 days by flipping a coin to...

Using the weather Markov chain simulate the weather over 10 days by flipping a coin to determine the chances of sunny or cloudy weather the next day according to the Markov chain's transition probabilities. If currently sunny, flip once and a head means sunny the next day and a tail means cloudy the next day. If currently cloudy flip twice and when either flip is a head it is sunny the next day and when both flips are tails it is cloudy the next day. To start, assume that the previous day was sunny. what fraction of the 10 days was sunny?

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Test the claim that the proportion of men who own cats is significantly different than the...

Test the claim that the proportion of men who own cats is significantly different than the proportion of women who own cats at the 0.2 significance level. The null and alternative hypothesis would be: H 0 : p M = p F H 1 : p M ≠ p F H 0 : μ M = μ F H 1 : μ M < μ F H 0 : μ M = μ F H 1 : μ M > μ F H 0 : μ M = μ F H 1 : μ M ≠ μ F H 0 : p M = p F H 1 : p M < p F H 0 : p M = p F H 1 : p M > p F The test is: left-tailed right-tailed two-tailed Based on a sample of 40 men, 45% owned cats Based on a sample of 40 women, 50% owned cats The test statistic is: (to 2 decimals) The p-value is: (to 2 decimals) Based on this we: Fail to reject the null hypothesis Reject the null hypothesis

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In a class of 87 people, 27 wear glasses, 32 are blonde, and 38 are neither...

In a class of 87 people, 27 wear glasses, 32 are blonde, and 38 are neither blonde nor wear glasses. Find the probability that a student chosen at random will have blonde hair and wear glasses?

In: Math

The following data represents the calories and fat (in grams) of 16-ounce iced coffee drinks at...

The following data represents the calories and fat (in grams) of 16-ounce iced coffee drinks at Dunkin’ Donuts and Starbucks:
Product
Calories
Fat
Dunkin Donuts Iced Mocha Swirl latte (whole milk)
240
8
Starbucks Coffee Frappuccino blended coffee
260
3.5
Dunkin Donuts Coffee Coolatta (cream)
350
22
Starbucks Iced Coffee Mocha Expresso (whole milk and whipped cream)
350
20
Starbucks Mocha Frappuccino blended coffee (whipped cream)
420
16
Starbucks Chocolate Brownie Frappuccino blended coffee (whipped cream)
510
22
Starbucks Chocolate Frappuccino Blended Créme (whipped cream)
530
19
a) For each variable (calories and fat), compute the mean, median, first quartile, and third quartile.
b) For each variable (calories and fat), compute the variance, standard deviation, range, and interquartile range.
c) For each variable (calories and fat), compute the Z scores. Are there any outliers (extreme values)?
d) Based on the results from (a) through (c), what conclusions can you reach concerning the calories and fat in iced coffee drinks at these two companies?

In: Math

The Apex corporation produces corrugated paper. It has collected monthly data from January 2001 through March...

The Apex corporation produces corrugated paper. It has collected monthly data from January 2001 through March 2003 on the following two variables:

y= total manufacturing cost per month (In thousands of dollars) (COST)

x= total machine hours used per month (Machine)

The data are shown below.

y x

1102 218
1008 199
1227 249
1395 277
1710 363
1881 399
1924 411
1246 248
1255 259
1314 266
1557 334
1887 401
1204 238
1211 246
1287 259
1451 286
1828 389
1903 404
1997 430
1363 271
1421 286
1543 317
1774 376
1929 415
1317 260
1302 255
1388 281

Answer the following question

Fill in the blanks for the following statement: “I am 95% confident that the average manufacturing cost at the Apex corporation for all months with 350 total machine hours is between ____ and ____.”

please show me steps

In: Math

You Explain it: What is a residual? What does it mean when a residual is positive?...

You Explain it:

  1. What is a residual?
  2. What does it mean when a residual is positive?
  3. Explain the phrase outside the scope of the model.
  4. Why is it dangerous to make predictions outside the scope of the model?
  5. Explain what each point on the least-squares regression line represents.


In: Math

7-31 Consider the following LP problem: Maximize profit=5X+6Y subject to2X+Y≤120, 2X+3Y≤240X,Y≥0 What is the optimal solution...

  1. 7-31 Consider the following LP problem:

Maximize profit=5X+6Y

subject to2X+Y≤120, 2X+3Y≤240X,Y≥0

  1. What is the optimal solution to this problem? Solve it graphically.
  2. If a technical breakthrough occurred that raised the profit per unit of X to $8, would this affect the optimal solution?
  3. Instead of an increase in the profit coefficient X to $8, suppose that profit was overestimated and should only have been $3. Does this change the optimal solution?
  1. 7-32 Consider the LP formulation given in Problem 7-31. If the second constraint is changed from 2X + 3Y≤2402X + 3Y≤240 to 2X+4Y≤240,2X+4Y≤240, what effect will this have on the optimal solution?

In: Math

"Trydint" bubble-gum company claims that 3 out of 10 people prefer their gum to "Eklypse". Test...

"Trydint" bubble-gum company claims that 3 out of 10 people prefer their gum to "Eklypse". Test their claim at the 99 confidence level. The null and alternative hypothesis in symbols would be: H 0 : p ≤ 0.3 H 1 : p > 0.3 H 0 : μ = 0.3 H 1 : μ ≠ 0.3 H 0 : μ ≥ 0.3 H 1 : μ < 0.3 H 0 : μ ≤ 0.3 H 1 : μ > 0.3 H 0 : p = 0.3 H 1 : p ≠ 0.3 H 0 : p ≥ 0.3 H 1 : p < 0.3 The null hypothesis in words would be: The average of people that prefer Trydint gum is not 0.3. The proportion of all people that prefer Trydint gum is less than 0.3. The proportion of people in a sample that prefers Trydint gum is 0.3. The proportion of people in a sample that prefer Trydint gum is not 0.3 The proportion of all people that prefer Trydint gum is greater than 0.3. The proportion of all people that prefer Trydint gum is 0.3 The average of people that prefer Trydint gum is 0.3. Based on a sample of 280 people, 58 said they prefer "Trydint" gum to "Eklypse". The point estimate is: (to 3 decimals) The 99 % confidence interval is: to (to 3 decimals) Based on this we: Reject the null hypothesis Fail to reject the null hypothesis

In: Math

2. Problem 2 is adapted from the Problem 39 at the end of Chapter 11. Please...

2. Problem 2 is adapted from the Problem 39 at the end of Chapter 11. Please solve this problem in Excel and submit your Excel spreadsheet. The problem is as follows: The state of Virginia has implemented a Standard of Learning (SOL) test that all public school students must pass before they can graduate from high school. A passing grade is 75. Montgomery County High School administrators want to gauge how well their students might do on the SOL test, but they don't want to take the time to test the whole student population. Instead, they selected 20 students at random and gave them the test. The results are as follows: 83 79 56 93 48 92 37 45 72 71 92 71 66 83 81 80 58 95 67 78 Assume that SOL test scores are normally distributed. a. Compute the mean and standard deviation for these data. b. Determine the probability that a student at the high school will pass the test. c. How many percent of students will receive a score between 75 and 95? d. What score will put a student in the bottom 15% in SOL score among all students who take the test? e. What score will put a student in the top 2% in SOL score among all students who take the test? 3. The average male drinks 2 L of water when active outdoors (with a standard deviation of 0.8L). You are planning a full day nature trip for 100 men and will bring 210 L of water. What is the probability that you will run out? Please solve this problem in Excel and submit your Excel file.

In: Math