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11. a. all employed adult women

12. 0.5773

13. 0.0522

14. b. The middle fifty percent of the members lost from 2 to 8.5 lbs.

15. c. All of the data have the same value.

16. c. The lowest data value is the median.

17. 0.279

18. b. No, I expect to come out behind in money.

19. X = the number of patients calling in claiming to have the flu, who actually have the flu.
X = 0, 1, 2, …25

20. B (25, 0.04)

21. 0.0165

22. 1

23. c. quantitative discrete

24. all words used by Tom Clancy in his novels

Chapter 5

25.

  1. 24%
  2. 27%

26. qualitative

27. 0.36

28. 0.7636

29.

  1. No
  2. No

30. B (10, 0.76)

31. 0.9330

32.

  1. X = the number of questions posted to the statistics listserv per day.
  2. X = 0, 1, 2,…
  3. X ~ P (2)
  4. 0

33. $150

34. Matt

35.

  1. false
  2. true
  3. false
  4. false

36. 16

37. first quartile: 2
second quartile: 2
third quartile: 3

38. 0.5

39. 7 15

40. 2 15

Chapter 6

41.

  1. true
  2. true
  3. False – the median and the mean are the same for this symmetric distribution.
  4. true

42.

  1. 8
  2. 8
  3. P ( x < k ) = 0.65 = ( k – 3) ( 1 10 ) . k = 9.5

43.

  1. False – 3 4 of the data are at most five.
  2. True – each quartile has 25% of the data.
  3. False – that is unknown.
  4. False – 50% of the data are four or less.

44. d. G and H are independent events.

45.

  1. False – J and K are independent so they are not mutually exclusive which would imply dependency (meaning P ( J AND K ) is not 0).
  2. False – see answer c.
  3. True – P ( J OR K ) = P ( J ) + P ( K ) – P ( J AND K ) = P ( J ) + P ( K ) – P ( J ) P ( K ) = 0.3 + 0.6 – (0.3)(0.6) = 0.72. Note the P ( J AND K ) = P ( J ) P ( K ) because J and K are independent.
  4. False – J and K are independent so P ( J ) = P ( J | K )

46. a. P (5)

Chapter 7

47. a. U (0, 4)

48. b. 2 hour

49. a. 1 4

50.

  1. 0.7165
  2. 4.16
  3. 0

51. c. 5 years

52. c. exponential

53. 0.63

54. B (14, 0.20)

55. B (14, 0.20)

Chapter 8

56. c. the mean amount of weight lost by 15 people on the special weight loss diet.

57. 0.9951

58. 12.99

59. c. 1 2

60. b. 0.60

61. c. N (60, 5.477)

62. 0.9990

63. a. eight days

64. c. 0.7500

65. a. 80%

66. b. 35%

67. b. no

68. b. quantitative continuous

69. c. 150

70. d. 0.06

71. c. 0.44

72. b. 0

Chapter 9

73. d. Matt is shorter than the average 14 year old boy.

74. Answers will vary.

75.

x Relative Frequency Cumulative Relative Frequency
1 0.3 0.3
2 0.2 0.2
4 0.4 0.4
5 0.1 0.1

76.

  1. 2.8
  2. 1.48
  3. 90%

77. M = 3; Q 1 = 1; Q 3 = 4

78. 1 and 4

79. d. 8 70

80. c. 40 70

81. a. 9 19

82. b. false

83. b. false

84. b. false

85.

  1. X = the number of pies Lee bakes every day.
  2. P (20)
  3. 0.1122

86. CI: (5.25, 8.48)

87.

  1. uniform
  2. exponential
  3. normal

Chapter 10

88. 77 100

89. 12 42

90.

  1. false
  2. false
  3. true
  4. false

91. N (180, 16.43)

92. a. The distribution for X ¯ is still uniform with the same mean and standard deviation as the distribution for X .

93. c. The distribution for X is normal with a larger mean and a larger standard deviation than the distribution for X .

94. N ( 2 ,   0.25 16 )

95. Answers will vary.

96. 0.5000

97. 7.6

98. 5

99. 0.9431

Chapter 11

100. 7.5

101. 0.0122

102. N (7, 0.63)

103. 0.9911

104. b. Exponential

105.

  1. true
  2. false
  3. false

106. Answers will vary.

107. Student’s t with df = 15

108. (560.07, 719.93)

109. quantitative continuous data

110. quantitative discrete data

111.

  1. X = the number of patients with a shotgun wound the emergency room gets per 28 days
  2. P (4)
  3. 0.0183

112. greater than

113. No; P ( x = 8) = 0.0348

114. You will lose $5.

115. Becca

116. 14

117. Sample mean = 3.2
Sample standard deviation = 1.85
Median = 3
Q 1 = 2
Q 3 = 5
IQR = 3

118. d. z = –1.19
e. 0.1171
f. Do not reject the null hypothesis.

119. We conclude that the patient does have the HIV virus when, in fact, the patient does not.

120. c. z = 2.21; p = 0.0136
d. Reject the null hypothesis.
e. We conclude that the proportion of Californian professionals that wear jeans to work is greater than the proportion of non-Californian professionals when, in fact, it is not greater.
f. We cannot conclude that the proportion of Californian professionals that wear jeans to work is greater than the proportion of non-Californian professionals when, in fact, it is greater.

121. c. dependent means

122. t 5

Chapter 12

123. (0.0424, 0.0770)

124. 2,401

125. Check student's solution.

126. 0.6321

127. $360

128. N ( 72 ,   72 5 )

Chapter 13

129. 0.02

130. 0.40

131. 100 140

132. 10 60

133. p -value = 0; Reject the null hypothesis; conclude that they are dependent events

134. 8.4

135. B (14, 0.60)

136. d. Binomial

137. 0.3669

138. p -value = 0.0006; reject the null hypothesis; conclude that the averages are not equal

139. p -value = 0; reject the null hypothesis; conclude that the proportion of males is higher

140. Minimize α and β

141.

  1. No
  2. Yes, P ( M AND 30+) = 0

142. 12 38

143. No; p -value = 0

144. a. uniform

References

Data from the San Jose Mercury News .

Baran, Daya. “20 Percent of Americans Have Never Used Email.” Webguild.org, 2010. Available online at: http://www.webguild.org/20080519/20-percent-of-americans-have-never-used-email (accessed October 17, 2013).

Data from Parade Magazine .

Questions & Answers

how do you find z if you only know the area of .0808
Cady Reply
How to take a random sample of 30 observations
Hamna Reply
you can use the random function to generate 30 numbers or observation
smita
How we can calculate chi-square if observed x٫y٫z/frequency 40,30,20 Total/90
Insha Reply
calculate chi-square if observed x,y,z frequency 40,30,20total 90
Insha
find t value,if boysN1, ،32,M1,87.43 S1square,39.40.GirlsN2,34,M2,82.58S2square,40.80 Determine whether the results are significant or insignificant
Insha
The heights of a random sample of 100 entering HRM Freshman of a certain college is 157 cm with a standard deviation of 8cm. test the data against the claim that the overall height of all entering HRM students is 160 cm. previous studies showed that
Crispen Reply
complete the question.. as data given N = 100,mean= 157 cm, std dev = 8 cm..
smita
Z=x-mu/ std dev
smita
find the mean of 25,26,23,25,45,45,58,58,50,25
Asmat Reply
add all n divide by 10 i.e 38
smita
38
hhaa
amit
1 . The “average increase” for all NASDAQ stocks is the:
Jamshaid Reply
STATISTICS IN PRACTICE: This is a group assignment that seeks to reveal students understanding of statistics in general and it’s practical usefulness. The following are the guidelines; 1.      Each group has to identify a natural process or activity and gather data about/from the process. 2.     
Kofi Reply
The diameter of an electric cable,say, X is assumed to be continoues random variable with p.d.f f(x)=6x(1-x); ≤x≤1 a)check that f(X) is p.d.f b) determine a number b such that p(Xb)
Syed Reply
A manufacturer estimate 3% of his output is defective. Find the probability that in a sample of 10 items (a) less than two will be defective (b) more than two will be defective.
ISAIAH Reply
A manufacturer estimates that 3% of his output of a small item is defective. Find the probabilities that in a sample of 10 items (a) less than two and (b) more than two items will be defective.
ISAIAH
use binomial distribution with parameter n=10, p= 0.03, q=0.97
Shivprasad
the standard deviation of a symmetrical distribution is 7.8 . what must be the value of forth moment about the mean in order that distribution be a) leptokurtic b) mesokurtic c) platy kyrtic intrept the obtain value of a b and c
Tushar Reply
A researcher observed that four out of every ten of their products are normally defective. A total of 360 samples of the products were being tested. If the sample is normally distributed and 220 of the products were identified to be faulty, test the hypothesis that the observation of the res
Adepoju Reply
false
HariPrasad
please answer the ques"following values are obtained from life table T15=3,493,601 and e°15=44.6 then expected number of person alive at exact age 15 will be "
vinay
make it clear
Kagimu
how x minus x bar is equal to zero
Kashif Reply
When the mean (X bar) of the sample and the datapoint-in-context (X) from the same sample are the same, then it (X minus X bar) is equal to 0
Johns
e.g. mean of. sample is 3 and one of the datapoints in that sample is also 3
Johns
a numerical value used as a summary measure for a sample such as a sample mean is known as
rana Reply
differentiate between qualitative and quantitative variables
rana Reply
qualitative variables are descriptive while quantitative are numeric variables
Chisomo
please guys what is the formulas use in calculated statistics please iam new here
Yunisa Reply
Dear Yunisa there are different formulas used in statistics depending on wnat you want to measure. It would be helpful if you can be more specific
LAMIN

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Source:  OpenStax, Introductory statistics. OpenStax CNX. May 06, 2016 Download for free at http://legacy.cnx.org/content/col11562/1.18
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