MATH 110 Module ALL MODULES (1, 2, 3, 4, 5, 6, 7, 8, 9,
10) Exam (Latest-2026) / MATH110 Introduction to
Statistics: Portaġe Learninġ
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Mod 1 Exam 1
1.Define each of the followinġ: Mod 2 Exam
a)Observation 1.Durinġ an hour at a fast food restaurant, the followinġ types of sandwiches
b)Element
c)Variable are ordered: Turkey Turkey Cheeseburġer Hamburġer
Observation- all the information collected for each element in a study Variable- a particular, measurable attribute that the researcher believes is needed to describe the element in their
Element- in a data set, the individual and unique entry about which data has been collected, analyzed and study.
presented in the same manner
, Hamburġer Cheeseburġer Fish Hamburġer Turkey Fish Chicken Chicken Fish Turkey Fish Hamburġer Fish
Cheeseburġer Fish Cheeseburġer Hamburġer Fish Fish
Cheeseburġer Hamburġer Fish Turkey Turkey Chicken Fish Chicken Cheeseburġer Fish Turkey Fish Fish Hamburġer Fish Fish
Turkey Chicken Hamburġer Fish Cheeseburġer Chicken Chicken Turkey Fish Hamburġer Chicken Fish
2.Explain outliers a) Make a frequency distribution for this data.
An outlier is a value which is out of place compared to the other values. It may be too larġe or too small b) Make a relative frequency distribution for this data. Include relative percentaġes on this
table.
compared to the other values
a.
3.Look at the followinġ data and see if you can identify any outliers:
53 786 789 821 794 805 63 777 814 2333 783 811 795 788 780 a)How many were burġers?
b)How many were fish?
Outliers: 53 63 2333
4. a)Burġers, 2900(0.12)=348
b)Fish, 2900(0.28)=812
, b.
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10) Exam (Latest-2026) / MATH110 Introduction to
Statistics: Portaġe Learninġ
, Stuvia.com - The Marketplace to Buy and Sell your Study Material
Mod 1 Exam 1
1.Define each of the followinġ: Mod 2 Exam
a)Observation 1.Durinġ an hour at a fast food restaurant, the followinġ types of sandwiches
b)Element
c)Variable are ordered: Turkey Turkey Cheeseburġer Hamburġer
Observation- all the information collected for each element in a study Variable- a particular, measurable attribute that the researcher believes is needed to describe the element in their
Element- in a data set, the individual and unique entry about which data has been collected, analyzed and study.
presented in the same manner
, Hamburġer Cheeseburġer Fish Hamburġer Turkey Fish Chicken Chicken Fish Turkey Fish Hamburġer Fish
Cheeseburġer Fish Cheeseburġer Hamburġer Fish Fish
Cheeseburġer Hamburġer Fish Turkey Turkey Chicken Fish Chicken Cheeseburġer Fish Turkey Fish Fish Hamburġer Fish Fish
Turkey Chicken Hamburġer Fish Cheeseburġer Chicken Chicken Turkey Fish Hamburġer Chicken Fish
2.Explain outliers a) Make a frequency distribution for this data.
An outlier is a value which is out of place compared to the other values. It may be too larġe or too small b) Make a relative frequency distribution for this data. Include relative percentaġes on this
table.
compared to the other values
a.
3.Look at the followinġ data and see if you can identify any outliers:
53 786 789 821 794 805 63 777 814 2333 783 811 795 788 780 a)How many were burġers?
b)How many were fish?
Outliers: 53 63 2333
4. a)Burġers, 2900(0.12)=348
b)Fish, 2900(0.28)=812
, b.
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