STATS Final Exam Flashcards

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87 Terms

1
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what are Z-scores ?

they indicate how many standard deviations value is away from the mean

2
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What is the equation for Z-scores?

(x-u)/(standard deviation)

3
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parameter mean

mean value of an entire group under the study (usually over periods of time)

4
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parameter proportion

percentage of population that meets a certain criterion or test (usually whether or not questions)

5
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how do you determine when you can reject H0 ?

value must be less than the a

6
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what are conditions for inference?

sample size must be greater than 30

7
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what does H0 stand for?

null value which states there is no difference between a hypothesized and estimated value.

8
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What does HA stand for?

alternative hypothesis which states that there is a difference between a hypothesized and estimated value.

9
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how big should p have to be have a right skewed graph?

small or <50

10
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how big should p have to be to be left skewed?

large >50

11
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what must you do to the sample size to decrease the margin of error?

increase sample size

12
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whats the Z* for 90%?

1.64

13
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What’s the a for 90%?

0.10

14
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What’s the z* for 95%?

1.96

15
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what’s the a for 95%?

0.05

16
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what’s the z* for 99%?

2.57

17
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what’s the a for 99%?

0.01

18
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what’s a type I error?

when someone fails to reject a true null hypothesis

19
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What’s a type II error?

when someone fails to reject a false hypothesis

20
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68% of population is how many SD’s from the mean?

1

21
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95% of population is how many SD’s from the mean

2

22
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99.7% of population is how many SD’s from the mean

3

23
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how do you find exact successes in a binomial problem?

P(X=k)

24
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How do you find probability “of at least one” in a binomial problem?

1-P(X=0)

25
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what does p mean?

probability of the shaded area of the graph

<p>probability of the shaded area of the graph </p>
26
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What is p head ?

sample proportion

27
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As sample size increases what does standard error do?

decreases

28
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CLT requirements

At least 10 successes and 10 failures

sample size of at least 30

samples must be independent

29
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If you have to assume ME, what value do you use?

0.5

30
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what factors would make the confidence interval narrower?

higher sample size

lower confidence level

31
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how do you know when data provides convicing evidence?

when the p value is less than the significance level

32
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What is a test statistic ?

a number calculated from data, that gives the compatibility with a null hypothesis

33
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what must the z-score be to keep data under one standard deviation?

anything less than one

34
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what must the z-score be for the data to be above average?

positive number

35
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what must the z-score be for the data to be below average?

negative number

36
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what is the equation of a test statistic?

z=(x-u)/SE

37
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Descriptive Statistics

methods of collecting and presenting data

38
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Inferential Statistics

Determining intelligent guesses from populations

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Statistic

a number that summarizes the sample data

40
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sample

a subset of units in a population

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Parameter

a number that summarizes all of the data of an entire population (average population)

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Population

a collection of units that are being studied

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Data

collection of numbers, characteristics, images, and other items that provide information about something.

44
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Variable

a characteristic of each individual element of a population.

45
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nominal categorical variable

gender, colors, blood types

46
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ordinal categorical variable

letter grades, education levels, spice levels, class status

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discrete numerical variable

something that you can count and the number won’t progress. Ex: #of students in a class, # of dogs in house.

48
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continuous numerical variable

any real numbers between two whole numbers. Ex: peoples height, temperature, age

49
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How do you know if a study’s results can be generalized to a targeted population?

If the sample is randomly selected and representative of the entire population

50
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Which type study can make inferences?

  • experimental

  • observational

experimental

51
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stratified sampling

population is divided into non-overlapping subgroups (aka:stratum) that share similar characteristics

52
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cluster sampling

dividing population into non-overlapping subgroups (aka:clusters). Perform a simple random sample then select subgroups.

53
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random sampling

sample is selected randomly from a list with every individual of the population.

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multistage sample

randomly select units from inside of a randomly selected cluster.

55
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explanatory variable

cause

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response variable

effect

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blocking variable

groups experimental units with similar characteristics, so researchers can isolate the effect of the treatment and eliminate the influence of nuisance factors.

58
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How do you calculate IQR?

Q3-Q1

59
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How do you calculate max upper whisker

Q3+1.5xIQR

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how do you calculate max lower whicker

Q1-1.5xIQR

61
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what is the shape of the graph is the mean is less than the median?

left skew

62
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what is the shape of the graph is the mean is greater than the median?

right skew

63
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what does it mean to be mutually exclusive?

events that cannot happen at the same time

64
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What is disjoint term also know as?

mutaully exclusive

65
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What is non-disjoint events?

events that can happen at the same time.

66
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how do you find Ac

P(Ac)=1-P(A)

67
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why are mutually exclusive events dependent?

because the occurrence of one event directly affects the probability of the other event

68
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what does x stand for in the calculator?

mean

69
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what does Sx stand for in the calculator?

standard deviation

70
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what does range of IQR equal?

Q1 to Q3

71
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how do I determine if something is independent?

if it is the “cause” in the study

72
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How do I determine if something is dependent?

if it is the “effect” in the study

73
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how do you determine if probability distribution is valid?

if the total adds up to 1

74
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how do I find (AorB)

=P(A)+P(B)-P(AandB)

75
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how do I find (AandB)

=P(A)xP(B)

76
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What does a Xdiff mean?

mean difference

77
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What does Sdiff mean?

standard deviation difference

78
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What is the purpose of paired data?

To find if the average difference is different than 0.

79
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What’s a paired t-test?

uses one sample and compare different data within the same sample

80
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What’s a two sample t-test?

uses two separate samples and compare data

81
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What’s a z/t test?

Comparing means from two groups to see wether they are so far apart that the observed difference cannot reasonably be attributed to sampling variability.

82
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What’s ANOVA?

83
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how do you calculate degree of freedom (df)?

n-1

84
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what does a one-tailed test measure?

greater or less than hypothesis, where the critical values are only on one side of the graph.

85
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how does t* being larger than z* affect the graph?

the graph of t* will be wider because t* has a greater margin of error.

86
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Can we be confident in our observation if the confidence level contains 0?

no

87
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how do I determine if a outlier is an influential point?