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STA 2023 Elementary Statistics STA 2023 Final Exam Review Questions and Answers | 100% Pass |Graded A+ | $14.99   Add to cart

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STA 2023 Elementary Statistics STA 2023 Final Exam Review Questions and Answers | 100% Pass |Graded A+ |

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STA 2023 Elementary Statistics STA 2023 Final Exam Review Questions and Answers | 100% Pass |Graded A+ |

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  • October 11, 2024
  • 34
  • 2024/2025
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YourAssignmentHandlers
St Petersburg College Florida
STA 2023 Elementary Statistics
Statistics Stat 2023

Course Title and Number: STA 2023 Elementary
Statistics
Exam Title: STA 2023 Midterm and Final
Exam Date: Midterm and Final Exam 2024- 2025
Instructor: [Insert Instructor’s Name]
Student Name: [Insert Student’s Name]
Student ID: [Insert Student ID]




Midterm and Final Examination
Instructions: 180 minutes
1. Read each question carefully.
2. Answer all questions.
3. Use the provided answer sheet to mark your responses.
4. Ensure all answers are final before submitting the exam.
5. Please answer each question below and click Submit when you
have completed the Exam.
6. This test has a time limit, The test will save and submit
automatically when the time expires
7. This is Exam which will assess your knowledge on the course
Learning Resources.


Good Luck!

,STA 2023 Elementary Statistics 2024 - 2025 STA 2023
Final Exam Review Questions and Answers | 100%
Pass |Graded A+ |


Which of the following is not used to gather data or
information from a population of interest? - Answer>>
Questionnaires
Surveys
Census

Which of the following is a categorical variable?
Blood Type
Height
Weight
Volume of your gas Tank - Answer>> Blood Type

Which of the following is not a categorical variable?
Weight of the Individual
Race Category of an Individual
Hand Dominance of Individuals
Personality type of an Individual - Answer>> Weight
of the individual

Assuming the 68-95-99.7 rule, what is the probability of
an observation being between one and two standard
deviations higher than the mean? - Answer>> 0.1350

Assuming the 68-95-99.7 rule, what is the probability of
an observation being lower than two standard
deviations below the mean? - Answer>>

,Assuming the 68-95-99.7 rule, what percentage of all
observations fall between two and three standard
deviations below the mean? - Answer>> 2.35%

Assuming the 68-95-99.7 rule, what percentage of all
observations will be lower than three standard
deviations lower than the mean? - Answer>> 0.15%

Given that we have a normal model with mean 84 and
standard deviation of 21. What is the z-score of 105? -
Answer>> 1

Given that we have a normal model with mean 84 and
standard deviation of 21. What is the probability of an
observation above 65? - Answer>> 0.8159

Given that we have a normal model with mean 84 and
standard deviation of 21. What is the probability of an
observation between 73 and 95? - Answer>> 0.3969

If a pediatrician wants to keep track of the growth of
the babies she has under her care in terms of weight
and height, which of the following displays would help
her track that information? - Answer>>

Population - Answer>> A collection or set of
individuals, objects or events whose properties are to
be analyzed.

Data is rarely collected from the entire population -
instead a representative sample is used

Sample - Answer>> a subset of the population

Parameter - Answer>> a numerical value
summarizing all data of the population

, statistic - Answer>> a numerical value summarizing
all data of the sample

Statistic or Parameter? A health club surveys 40
randomly selected members and found the avg weight
is 157 lbs - Answer>> statistic

Statistic or parameter? A researcher examines records
of all registered voters and finds 43% are registered
democrats - Answer>> parameter

variable - Answer>> characteristic of the individuals
within the population or sample

qualitative - Answer>> non-numerical characteristic

may or may not be numbers, but the numbers have no
real meaning (e.g., SSN, eye color)

You cannot do any math with qualitative data (i.e.,
adding or subtracting SSNs doesn't give you anything
meaningful)

quantitative - Answer>> numerical measurements in
which the numbers have meaning.

You can compare the numbers and the comparison will
make sense

Ex: fat content of different cookies

discrete data - Answer>> whole numbers

countable

continuous data - Answer>> non-count

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