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 on the interval or ratio scale. * Qualitative data is measured on a nominal or ordinal scale Chapter 3

* A frequency distribution is a summary technique that organizes data into classes and provides in tabular form a list of the classes along with the number of observations in each class *
*
* The cumulative relative frequency is the proportion of observations in a particular class and all preceding classes. Below is a cumulative relative frequency distribution for the heart rate data. *...

...
INTRODUCTION TO NORMAL DISTRIBUTIONS
The normal distribution is the most important and most widely used distribution in statistics. It is sometimes called the "bell curve," although the tonal qualities of such a bell would be less than pleasing. It is also called the "Gaussian curve" after the mathematician Karl Friedrich Gauss. As you will see in the section on the history of the normal distribution, although Gauss played an important role in its history, Abraham de Moivre first discovered the normal distribution.
Strictly speaking, it is not correct to talk about "the normal distribution" since there are many normal distributions. Normal distributions can differ in their means and in their standard deviations. Figure 1 shows three normal distributions. The green (left-most) distribution has a mean of -3 and a standard deviation of 0.5, the distribution in red (the middle distribution) has a mean of 0 and a standard deviation of 1, and the distribution in black (right-most) has a mean of 2 and a standard deviation of 3. These as well as all other normal distributions are symmetric with relatively more values at the center of the distribution and relatively few in the tails.
Figure 1. Normal distributions differing in mean and standard deviation.
The density of the normal distribution (the height for a given value on the x axis) is shown below. The parameters μ and σ are the mean and standard deviation, respectively, and define the normal distribution. The...

...70 - 80% weight)
Overview:
Covers Chapters 1 – 5
Part One will begin promptly at 2:10 and end at 3:25. Students arriving late will not be given additional time. If you have a diagnosed learning disability which requires extra time, you must make arrangements with me at least one week in advance so arrangements can be made for you to take the exam at the ARC.
Consists of multiple-choice, true-false, short answer and short essay questions. There are no computational problems on Part One.
Closed book, closed notes.
Use of a cellphone, computer or other electronic device is not permitted. Please turn your cellphone completely OFF (including vibrate) for the duration of the entire exam.
Bring at least two #2 pencils. I will bring paper.
You may not wear a baseball cap during the exam. Please do not bring water bottles or food to the exam.
Once you have begun Part One, you may not leave the room for any reason.
Content:
Emphasis is on application and interpretation. Assuming you have read the chapter and competed all assigned homework for Chapters 1 through 5, the best way to prepare for this portion of the exam is to review:
the end of chapter summaries and all terms and concepts
your quizzes
the lecture notes and other class materials I have distributed
the powerpoint slides posted on ANGEL
how to interpret graphs and findings, such as r, r2
You may be asked to draw a...

...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?...

...OM335 Final examstudyguide
1. (6 points) Daily demand for the ice creams at I-Scream parlor is normally distributed with a mean of 160 quarts and a standard deviation of 100 quarts. The owner has the ice cream supplied by a wholesaler who charges $2.20 per quart. The ice cream sells for $4 per quart. The wholesaler charges a $400 delivery charge independent of order size. It takes 4 days for an order to be supplied. The opportunity cost of capital to I-Scream is estimated to be 25% per year. Assume 360 days in the year.
(a) The optimal order size of each order is (in quarts):
D = 160 x 360 quarts per year, S = $400, h = 0.25 $ per year, C = $2.20, H = hC = 0.25 x 2.20 = $0.55 per quart per year
EOQ = sqrt ( ( 2 D S)/H) = sqrt ( (2 x 160 x 360 x 400)/0.55) = 9153
(b) The owner would like to ensure no stock-outs in 95% of the cycles (i.e., the service level is 95%). The safety stock the store should have is (in quarts):
SS = z σ sqrt(L) = 1.645 x 100 x sqrt(4) = 329
(c) Currently the owner orders 4000 quarts of ice cream when they have 1680 quarts on hand. Compute the total annual inventory cost including the cost of holding the safety stock.
Ordering cost = D/Q S = (160 x 360)/4000 x 400 = $5,760/year
Cycle inventory = Q/2 = 4000/2 = 2000;
safety stock = ROP – mean leadtime demand = 1680 – 160 x 4 = 1040
Total inventory = 2000 + 1040 =...

...following hypothesis test: H0 :mu500 a.Determine the t-statistic of the above test. Xbar-mu/(SD/√n)=t-statistic 503.4 – 500/(15/√35)=3.4/2.535=1.340978 b.Determine the pvalue of the above test. 1-(Chart of Tstat)=1-.9099=.0901=pvalue c.Suppose a larger sample size n=75, and sample mean remains xbar=503.4 Determine the pvalue of the hypothesis test described above. 503.4 – 500/(15/√75)=3.4/1.732=1.96299 1-.9750=.025=pvalue d.Determine with sample size n=125 503.4 – 500/(15/√125)=3.4/1.3416=2.53421 1-.9943=.0057=pvalue e.Relationship between sample size and pvalue? As sample size increases,pvalue decreses. Inverse relationship.
A medical statistician wants to estimate the average weight loss of people who are on a new diet plan. In a preliminary study, he guesses that the standard deviation of the population of weight losses is about 10 pounds. How large a sample should he take to estimate the mean weight loss to within 2 pounds with 90% confidence? 1.645(90%)*10/√n=2 2√n=(1.645*10/2)2 n=67.6506 Sample size should be 67.65 or 68 to estimate within 2 pounds having a90%confidencelevel
Fightmaster and Associates Real Estate Inc. advertises that the mean selling time of a residential home is 40 days or less. A sample of 50 recently sold residential homes shows a sample mean selling time of 34 days and a standard deviation of 20 days. Using alpha=.02, test the validity of the company’s claim. H0 :mu>40 HA :mu0 or that Beta1...

...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...

...MA 211 Item Bank
Quiz 2: Chapters 7-9
Chapter 7
Multiple-Choice Questions
1. What does a hypothesis help you determine?
a. Statisitcal techniques to be used
b. Research question
c. Average score
d. Sampling error
2. Which of the following refers to the group to which you wish to generalize your results?
e. Sample
f. Population
g. Sampling error population
h. General group
3. What does “generalizability” mean?
i. Results may be applied to the populations studied
j. Results may apply only to the sample studied
k. Sampling error is high
l. Sample does not represent the population
4. The group from which you actually collect data for your study is known as the __________.
m. sample
n. population
o. sampling error
p. general group
5. Which of the following provides you with a measure of how well your sample approximates the population?
q. Generalizability
r. Population
s. Sampling error
t. Hypothesis
6. In order to help ensure generalizability, which of the following should be true about your sample?
u. It is large
v. It is small
w. It is representative
x. It is nonrepresentative
7. Which of the following represents a null hypothesis?
y. H1: X1 > X2
z. H0: 1 = 2
{. H1: X1 = X2
|. H0: 1 > 2
8. Which of the following represents a...

...Fluid and Electrolytes
Know the causes, nursing assessment findings and treatments for:
Fluid Volume Excess (Overload): heart failure, renal failure, abnormal fluid shift, treat with diuretics and fluid restriction or sodium restrictions, record i&o’s, bounding pulse, JDV, crackles in lungs (from PE), SOB, PITTING EDEMA
Fluid Volume Deficit (Hypo-Volemia): shift from plasma into ICF with sodium loss, treat with isotonic fluids, blood products for blood loss, low BP, increase HR, weak thready pulse, no JVD, increase RR, decreased LOC, cool skin POOR SKIN TURGOR
SIADH: decrease in plasma osmalility and urine output, too much ADH, hyponatremia
Diabetes Insipidus: polyuria, polydipsia, alert LOC, 800-1200ml/hr, decrease in ADH
Hypokalemia: caused by excessive diuresis and mag deficiency UWAVE PRESENT LETHAL VENTRICULAR RHYTHMS , SUPPLEMENTS SHOULD NEVER EXCEED 60MEQ/L AND RATE SHOULD NEVER EXCEED 10-20 MEQ/HR
Hyperkalemia: potassium sparing diuretics, ACE inhibitors, impaired renal excretion, cramping leg pain PEAKED TWAVE PROLONGED PR INTERVAL WHICH LEADS TO VFIB , effect cardiac electrical receptor cells, treat with lasics and kayexalate, force k+ into ECF to ICF with glucose and insulin
Hyponatremia : sodium loss or water gain SIADH, irritability confusion seisures, treat with hypertonic or sodium fluids or vasopresson which blocks ADH, COLD, CLAMMY SKIN
Hypernatremia: causes are DI, mannitol, diuretics. Hypertonic fluids, sodium gain or water loss,...