Dr. Miroshynk "Exam Outline"

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What is statistics?

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includes her study guide + anything I think is important! Has all 3 of her powerpoints.

41 Terms

1

What is statistics?

  • A science not a branch of mathematics, but uses mathematical models as essential tools

  • functions: summarize, organize, present, analyze, interpret

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2

What is biostatistics?

used to interpret the effects of a medical procedure or medicines on LIVING ORGANISMS

  • bio= life

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3

What are descriptive statistics?

measurements of central tendency like mean, median, and mode

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4

What is the difference between a variable and data?

variable- a characteristic that is being observed/measured

data- the measured values assigned to the VARIABLE for each individual member of the population

Ex: pain level would be a variable and each patient’s pain level as severe, mild, moderate, etc. would be the data

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5

What are the 4 levels of data measurement?

  1. nominal

  2. ordinal

  3. interval

  4. ratio

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6

Which of the 4 levels of data measurement are discrete and which are continuous?

discrete- nominal, ordinal

  • discrete ex’s: 5 kids, 96 workers, 3 laptops

    • were counting

continuous- interval, ratio

  • continous ex’s: 3.25 kg, 1.32 miles

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7

What is the difference between 4 levels of measurement?

  • nominal- data can only be counted/categorized

  • ordinal- data can be counted and ranked

  • interval- counted, ranked, and added/subtracted

  • ratio- data can be counted, ranked, added/subtracted AND multiplied/divided

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8

Rachel’s tips for the 4 levels of measurement:

  • Me personally, I HATE how they explain nominal, ordinal, interval, ratio… so I will explain how I was taught this topic back in the day:

  • nominal: we can put things into categories…

    • Ex: gender… I can put people into different categories by gender, however I CANNOT rank them in any order, or do any type of adding, multiplying etc… i mean how can you add/ subtract or rank a gender?

  • ordinal: we can put think into categories, but now we can RANK them

    • Ex: winners of a race… I can categorize by 1st, 2nd, 3rd, etc. and NOW there’s a ranking system… we know 1st is the winner, etc. etc. HOWEVER, I still cannot add, subtract, multiply or divide… I mean how do you divide winners of a race?

    • Another ex: letter grades… I categorize as well AS RANK. We know A, B, C, D there’s a ranking system as well as I categorized data based on what their grade was.

  • interval: we can categorize, rank, and NOW ADD/SUBTRACT

    • this is when the meaning of numbers start getting into play

    • when you think of adding/ subtracting, think of it more as if there is a scale that allows you to assess the difference

      • Ex: Temperature… We know that between 10-20 degrees there is a 10 degree DIFFERENCE and between 50-60 degrees there is a 10 degree difference. By using adding/subtracting we can now further analyze the data. If I were to subtract the 1st and 2nd place winner of a race… what does that mean????

  • Ratio- we can categorize, rank, add/subtract and NOW MULTIPLY AND DIVIDE

    • Ex: prices… a $100 dollar book costs twice the amount of a $50 book. That was division.

    • when I think of this one, I also think of these variables having a meaningful zero, before with interval if we had 0 degrees, that just means its cold, but ratio data like height, cannot be zero… you cannot be 0 inches tall.

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9

Examples of each type of measurement level:

  • nominal

    • eye color, gender, race

  • ordinal

    • pain-scales, level of satisfaction, stage of disease

  • interval

    • temperature

  • ratio

    • distance, length, weight

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10

How do you calculate mean, median, and mode?

  • mean= average

    • add em all up/ divide by the number of data points

  • median= middle

    • list the values from lowest to highest and pick the one in the middle

  • mode

    • which value occurs most frequently

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11

PRACTICE:

Identify what type of measurement each example is:

  1. Heat measured in degrees Celcius

  2. Level of satisfaction for a particular breakfast cereal

  3. Length of a capsule

  4. Favorite color

  1. interval

  2. ordinal

  3. ratio

  4. nominal

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12

Calculate the mean, median, and mode for the following data:

2, 4, 5, 6, 4, 7, 5, 4

mean- 4.625

median- 4.5

mode- 4

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13

How do you calculate a range:

max value- min value

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14

How do you calculate IQR:

  • to calculate:

    • IQR= Q3- Q1

    • List numbers from lowest—>highest

    • split that down the middle

    • find the median of the first half—> Q1

    • find the median of the second half—>Q3

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15

What are the measures of distribution shape?

  • normal distribution

  • skewed distribution

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16

What is the difference between normal and skewed distributions?

normal= symmetrical, bell-shaped curve

  • mean=median=mode

skewed= asymmetrical, uneven distribution

  • mean≠median≠mode

<p>normal= symmetrical, bell-shaped curve</p><ul><li><p>mean=median=mode</p></li></ul><p>skewed= asymmetrical, uneven distribution</p><ul><li><p>mean≠median≠mode</p></li></ul>
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17

What does incidence measure?

  • measures the number of new cases of a disease during a given period

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18

How is incidence proportion (risk) calculated?

<p></p>
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19

What does prevalence measure?

  • # of existing cases (new and preexisting) at a particular point in time

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20

Calculate point prevalence:

= # of existing cases(new and preexisting)/ population

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21

Calculate mortality rate:

<p></p>
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22

Sensitivity is also referred to as ________________________.

true positive rate

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23

Specificity is also referred to as ______________________.

true negative rate

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24

___________________ is the test ability to correctly identify individuals WITHOUT disease.

a. sensitivity

b. specificity

b. specificity or true negative rate

  • Think: negative= no disease

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25

___________________ is the test ability to correctly identify individuals WITH disease.

a. sensitivity

b. specificity

a. sensitivity or true positive rate

  • Think: positive= tested positive for the disease

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26

How do you calculate sensitivity?

knowt flashcard image
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27

How do you calculate specificity?

knowt flashcard image
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28

How do you calculate accuracy?

knowt flashcard image
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29
<p>EXAM TYPE PROBLEM ON SENSITIVITY AND SPECIFICITY!!!</p><p></p>

EXAM TYPE PROBLEM ON SENSITIVITY AND SPECIFICITY!!!

knowt flashcard image
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30

How do you calculate negative and positive predictive values?

knowt flashcard image
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31

What are the common types of visual data representation?

  • frequency table

  • box and whisker plot

    • used to present ranges of data

  • bar chart

    • ordinal data

  • histogram

    • continuous data

  • pie chart

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32

What are inferential statistics?

use data to make a conclusion

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33

What is the difference between population and samples and statistic and parameter?

population- set of all individuals in the group of interest

  • parameter goes with population

sample- a portion of the population selected for study

  • statistic goes with sample

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34

What is the main idea of the central limit theorem in statistical analysis?

as sample size increase= distribution will approach NORMAL

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35

What is the difference between null and alternative hypothesis?

null- assumes no difference between the study groups

alternative- assumes there IS a difference between the study groups

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36

parametric vs. nonparametric tests and their selection criterea

parametric- for normal distributed data

  • ex: t-tests, ANOVA

nonparametric- for not normal distributed data

  • chi-square, etc.

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37

What are type I and type II errors?

Type I

  • false positive

  • If you reject the null hypothesis and you weren’t supposed to reject it

Type II

  • false negative

<p>Type I</p><ul><li><p>false positive</p></li><li><p>If you reject the null hypothesis and you weren’t supposed to reject it</p></li></ul><p>Type II</p><ul><li><p>false negative</p></li></ul>
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38

Alpha vs p-value

  • both are probabilities

  • p-value < alpha = REJECT NULL

  • p-value > alpha = ACCEPT NULL

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39

What is confidence interval and its value?

confidence interval is another measure of statistical significance

CI= 1- alpha

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40

Explain how confidence intervals can be used to test hypotheses:

  • Is used to test if our hypothesis is clinically significant so…

    • estimates a range of scores likely to contain the unknown pop parameter

<ul><li><p>Is used to test if our hypothesis is clinically significant so…</p><ul><li><p>estimates a range of scores likely to contain the unknown pop parameter</p></li></ul></li></ul>
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41

Which one is more important in clinical research—-statistical or clinical significance?

clinical signficance

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