1.The mean incubation time of fertilized eggs is 22 days. Suppose the incubation times are approximately normally distributed with a standard deviation of 1 day. (A)The 19th percentile for incubation times is ____ days? (round to the nearest whole number as needed (B)The incubation times that make up the middle 39% are ___ to ___ days? (round to nearest whole number, use ascending order) 2.As reported by a recent survey, the mean height of females 20 to 29 years old is 63.6 inches. If the height is approximately normally distributed with a standard deviation of 2.8 inches, (A)What is the percentile rank of a 20-29 year old female who is 59.8 inches tall? ___th percentile. (round to the nearest integer) (B)What is the percentile rank of a 20-29 year old female who is 70 inches tall? ___th percentile (C)What proportion of 20-29 year old females are between 59.8 and 70 inches tall? (round to 4 decimal places as needed) 3.Suppose the lengths of the pregnancies of a certain animal are approximately normally distributed with the mean of 247 days and standard deviation of 20 days. (A)What is the probability that a randomly selected pregnancy lasts less than 241 days? (round to 4 decimal places) (B)What is the probability that a random sample of 29 pregnancies has a mean gestation period of 241 days or less? (C)What is the probability that a random sample of 69 pregnancies has a mean gestation period of 241 days or less 4.A certain flight arrives on time 69% of the time. Suppose 199 flights are randomly selected. Use the normal approximation to the binomial to approximate the probability. (A)What is the probability that exactly 121 flights are on time? (round to 4 decimal places) (B)What is the probability that at least 121 flights are on time? (C)What is the probability that fewer than 138 flights are on time? (D)What is the probability that between 138 and 148, inclusive, are on time? 5.The mean gas mileage for a hybrid car is 57 miles per gallon....

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BYP 18-1 Detailed Solution
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ACC 561 Week 1-6 Wiley Plus Assignments, Quizzes, Discussion Questions StudyGuides with Example Papers
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This bundle includes studyguides from all six weeks of HRM 531 human capital management.
week 1: individual studyguide InterClean merger memo
week 2: individual studyguide career development plan part one – job analysis and selection
week 3: individual studyguide career development plan part two – development of a training and mentoring program
week 4: individual studyguide career development plan part three – performance and career management
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WEEK 1:
TUTORIAL: This tutorial includes 755 words with 2 references in correct APA format. A+++ WORK!
Individual Assignment: Guillermo Furniture Store Scenario
Resource: Guillermo Furniture Store Scenario
Read the Guillermo Furniture Store Scenario.
Write a paper in no more than 700 words explaining the following:
How could Guillermo use budgets and performance reports in his decision-making process?
How might ethics influence his accounting decisions?
What accounting information is most relevant for Guillermo to consider when making decisions?
Format your paper consistent with APA standards.
WEEK2:
TUTORIAL: This tutorial includes 1,966 words with 4 references in correct APA format. A+++ WORK!
Learning Team Assignment: Financial Statement Analysis
Choose three companies, one from each of the following three sectors: manufacturing, service, and retail sales. One company must be foreign.
Compute the quick and current liquidity ratios, the DuPont ratio, profit margin, asset utilization, and financial leverage of each of the three companies.
Write a paper in no...

...5.1
Z is the standard normal random variable it has a mean= 0 and sd = 1
(-10,000 is lower bound, 10,000 is upper bound if not given otherwise)
Normal curve:
The mean, median and mode are equal
total areas=1
Symmetric and bell shaped
never touches the x axis
Z= Value-Mean/ standard deviation
Properties of the standard normal distribution:
cumulative area is close to 0 for z scores close to z= -3.49
cumulative area increases as the z scores increase
cumulative area for z=0 is 0.5000
cumulative area is close to 1 for z-scores close to z=3.49
standard curve to left: normalcdf(-10,000, z=)
standard curve to right: normalcdf (z=, 10,000)
Standard curve in between: normalcdf( z left, z right)
5.2
Probability for normal distribution
= normalcdf( upper bound, lower bound, mean, sd)
Z= Value- Mean/SD
5.3
10.75% = .1075
=invNorm(z score)
Ex: invNorm(0.3632) = -0.35
Example 2: find the z score that has 10.75% of the dist. area to the right
1- 1.075 (because its everything to the right)= .8925
invNorm(.8925)= 1.24
Percentiles:
P5: invNorm(.005)= -1.645
P50:invNorm(.5)= 0
P90:invNorm(.9)= 1.28
Transforming a z-score to an x value
x= mean + z score(sd)
Ex: z=1.96 mean=9 sd=2
x= 9 + 1.96(2)= 12.92
For a specific data value:
invNorm(z score area, mean, sd) or transform x value
5.5
Sampling distribution: the probability distribution of a sample statistic that is formed when samples of size n are repeatedly...

...STATISTIC
(1) A study of the number of cars sold looked at the number of cars sold at 500
Dealers The smallest dealer had 11 cars sold and the largest had 154 cars sold. If you were going to create a frequency distribution of the number of cars sold using six classes in your frequency distribution, which of the following might be a
reasonable first class?
(a) 0 to 25
_
(2) Give that a sample of 25 had x = 75, and (x-x)² = 48 the mean and standard
deviation are
_
(c) X = 3.0 and S = 48/24
(3) Which of the following is always true for a test of a hypothesis?
(a) The type ll error is more important than type l error (b) is larger then
(c ) is the probability of a type ll error (d) A type l error occurs when you
accept the null hypothesis when it is not true (e) None of the above is true.
(4) Suppose that, in attesting situation with a population that is normally distributed,
The null hypothesis is that the population mean is equal to 41. A sample of size 36 had a sample mean of 41 and sample standard deviation of 2. Which of the
following is correct?
(b) You cannot reject the null hypothesis
(5) If you take a sample of size 24 from a normal...

...1. What nursing action is required b4 you measure fundal height= empty bladder full bladder make the fundal height higher.
2. What should a nurse do to prevent heat loss from evaporation= dry them up and remove the wet linen.
3. Child with cephalohematoma. What condition is associated with cephalohemetoma = jaundice
4. Why do we perform gestational age in a baby= to identify developmental level
5. What kind of exam do we perform to access for gestational age = ballot score
6. A baby has been circumcised a mother called the unit and complains that she saw a yellow crust on the penile area what do you tell the mother=Normal
7. You are teaching a mom how to use a bulb syringe what will you tell her to do= tilt babies head to the side and sanction the check
8. You are providing umbilical cord care, what will you do to provide this care= dye, open, dry, to prevent infection.
9. You have a patient who is breast feeding you want to prevent nipple trauma what will you teach= latching on, make sure the oriole is in the baby mouth and the baby is sucking onto it. And the baby is not sucking the nipple.
10. When babies have jaundice and are placed on a phototherapy why should we make sure that they have fluid and they get fed= prevent dehydration, hypoglycemia and promote growth
11. A neonate that was born 4hours after delivery mother is diabetic and some of the signs and symptoms is that the baby is jittery = hypoglycemia, check blood sugar and feed them
12. A woman who...

...Exam 3 StudyGuide Math 219
1. The probability that a randomly selected patient who visits the emergency room will die within 1 year of the visit is 0.05. (binomial probability distribution)
a) What is the probability that exactly 1 of 10 randomly selected visitors to the ER will die within 1 year?
b) What is the probability that fewer than 2 of 25 randomly selected visitors to the ER will die within 1 year?
c) What is the probability that at least 2 of 25 randomly selected visitors to the ER will die within 1 year?
d) Would it be unusual if more than 3 of 30 randomly selected visitors to the ER died within 1 year? Why?
e) In a random sample of 1000 visitors to the ER, how many visitors are expected to die within the next year? What is the standard deviation number of deaths?
2. Determine whether the random variable is discrete or continuous.
a) The flight time accumulated by a randomly selected Air Force fighter pilot.
b) The number of points scored by the Miami Heat in a randomly selected basketball game.
3. Suppose that the talk time on the Apple iPhone is approximately normally distributed with mean 7 hours and standard deviation 0.8 hour.
a) What proportion of the time will a fully charged iPhone last at least 6 hours?
b) What is the probability a fully charged iPhone will last less than 5 hours?
c) What talk time would represent the cutoff for the top 5% of all talk times?
d) Would it...

...Exam 1
Chapter 1
* In statistics the group we wish to study is called the population
* A sample is a subset of the population which is used to gain insight about the population. Samples are used to represent a larger group, the population.
* • Descriptive statistics – the collection, organization, analysis, and presentation of data.
* Inferential statistics – uses descriptive statistics to estimate population parameters; an educated guess about the population based on sample data.
Chapter 2
* • During the experiment a treatment is applied to the experimental group.
* • The exact treatment will depend on the particular experiment.
* • The treatment changes the level of the explanatory variable in the experiment. The effect of the treatment can be measured by comparing the response variable in the control and experimental groups.
* Qualitative: Descriptions and Labels
* Quantitative: counts and measurements
* Discrete: Usually counts of things, restricted set of values
* Continuous: Usually measurements, data can take on any value in an interval
* Nominal measures offer names or labels for certain characteristics
* Ordinal data represents data in an associated order.
* If the data can be ordered and the arithmetic difference is meaningful, the data is interval.
* Ratio data has a meaningful zero point and the ratio of two data points is meaningful.
* Quantitative data is measured...