Statistics Quiz: Descriptive Statistics and Study Design, Cheat Sheet of Statistics

Two statistics quizzes covering descriptive statistics and study design. Quiz 1 focuses on calculating quartiles, interquartile range, percentiles, and identifying outliers in a data set, as well as understanding experimental design. Quiz 2 covers sample average, variance, standard deviation, z-scores, and histogram creation, along with chebyshev's rule. These quizzes provide practical exercises for students to test their understanding of fundamental statistical concepts and their application.

Typology: Cheat Sheet

2024/2025

Uploaded on 09/22/2025

salomon-massena
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Name: Quiz 1
You may use your notes and a calculator for this quiz, but online resources
are not permitted. Show all of your work and give complete explanations for
your answers to receive credit.
1) For the data set {53,16,70,7,17,1,26,77,74,94}.Forthese10values,
find the following:
The quartiles Q1, Q2, and Q3
First, reorder the data in increasing order {1,7,16,17,26,53,70,74,77,94}.
Q1: The index iis given by i=1
4(n+1) = 11
4.Since2<i<3, we
average the second and third values: Q1=7+16
2.
Q2: The index iis given by i=1
2(n+1) = 11
2.Since5<i<6, we
average the fifth and sixth values: Q2=25+53
2.
Q3: The index iis given by i=3
4(n+1) = 33
4.Since8<i<9, we
average the eighth and ninth values: Q3= 74+77
2.
The interquartile range
IQR =Q3Q1=151
223
2=128
2
1
pf3
pf4
pf5

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Name: Quiz 1

You may use your notes and a calculator for this quiz, but online resources

are not permitted. Show all of your work and give complete explanations for

your answers to receive credit.

  1. For the data set { 53 , 16 , 70 , 7 , 17 , 1 , 26 , 77 , 74 , 94 }. For these 10 values,

find the following:

  • The quartiles Q1, Q2, and Q 3

First, reorder the data in increasing order { 1 , 7 , 16 , 17 , 26 , 53 , 70 , 74 , 77 , 94 }.

Q1: The index i is given by i = 1 4 (n^ + 1) =^

11

  1. Since 2^ < i <^ 3, we

average the second and third values: Q1 = 7+

Q2: The index i is given by i = 1 2 (n^ + 1) =^

11

  1. Since 5^ < i <^ 6, we

average the fifth and sixth values: Q2 = 25+ 2

Q3: The index i is given by i = 34 (n + 1) = 334. Since 8 < i < 9, we

average the eighth and ninth values: Q3 = 74+77 2.

  • The interquartile range

IQR = Q 3 → Q1 =

151 2 →^

23 2 =^

128 2

  • The 40th percentile, P 40

The index i is given by i = 40 100 (n^ + 1) =^

22 5.^ Since 4^ < i <^ 5, we

average the fourth and fifth values P 40 = 7+ 2

  • The lower fence and upper fence

lower fence = Q 1 → 1 .5(IQR) = 232 → 1 .5(^1282 ) = → 84 .5.

upper fence = Q3 + 1.5(IQR) = 151 2 + 1.5(

128 2 ) = 171.^5

  • Are there any outliers? Explain.

No data value is less than the lower fence or greater than the upper

fence, so there are no outliers.

  1. (5 points) A study randomly assigns student into one of two groups. The

first group was directed to use social media as they usually do, and the sec-

Name: Quiz 2

You may use your notes and a calculator for this quiz, but online resources

are not permitted. Show all of your work and give complete explanations for

your answers to receive credit.

  1. For the data set { 53 , 16 , 70 , 7 , 17 , 12 }. For these 6 values, find the fol-

lowing:

  • The sample average, the sample variance, and the sample standard de-

viation.

The sample average is given by ¯x = 1 6

i=1 xi^ =^

1 6 (53 + 16 + 70 +

7 + 17 + 12) = 29.16.

The sample variance is given by s 2 = 1 5

i=1(xi→¯x)

2

1 5 ((53→^29 .16)

2

(16→ 29 .16)^2 +(70→ 29 .16)^2 +(7→ 29 .16)^2 +(17→ 29 .16)^2 +(12→ 29 .16)^2 ) =

The sample standard deviation is given by s =

s^2 =

  • The z-score of the value x = 12.

The z-score is given by z = x→x¯ s =^

12 → 29. 16

  1. 86 =^ →^0 .66.^ This means

that 12 is about two-thirds of a standard deviation to the left of ¯x.

  1. (5 points) Make a histogram of the data using the classes [0, 20], (20, 40],

(40, 60] and (60, 80]. Is the data symmetric, left-skewed, or right-skewed and

why?

Using Chebyshev’s rule, determine the two values a < b, such such that

at least 75% of the data is contained within the interval [a, b]

Chebyshev’s rule says that ↓ 75 percent of the data falls within two standard

deviations of the sample average ¯x = 29.16. This means that a = ¯x → 2 s =

  1. 16 → 2(25.86) = → 22 .56 and b = ¯x + 2s = 29.16 + 2(25.86) = 80. 88