Zscore Study guides, Class notes & Summaries

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Kine 303 Exam Questions with Correct Answers
  • Kine 303 Exam Questions with Correct Answers

  • Exam (elaborations) • 15 pages • 2024
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  • Kine 303 Exam Questions with Correct Answers For variables X and Y, you calculate Pearson r to be .6. How much variance in Y is accounted for by X? - Answer-36% A calculated Pearson r is NOT statistically significant when - Answer-it is less than the critical r value If someone's score on an independent variable is zero, what will be that person's predicted score on Y (YP)? - Answer-the Y-intercept If there is a high negative relationship (e.g., r = -.95) between weekly exercise dur...
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6-3 Homework Help MAT 133  | Assignment Solutions 2023
  • 6-3 Homework Help MAT 133 | Assignment Solutions 2023

  • Exam (elaborations) • 10 pages • 2023
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  • 6-3 Homework Help MAT 133 | Assignment Solutions 2023. Joan’s finishing time for the Bolder Boulder 10K race was 1.75 standard deviations faster than the women’s average for her age group. There were 405 women who ran in her age group. Assuming a normal distribution, how many women ran faster than Joan? We need to figure out what percent (technically, proportion) of women had a shorter run time. Then we multiply that by 405 to figure out the number of women that were faster. If Joan...
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COB 191 Exam 1 (2023/2024) Already Graded A
  • COB 191 Exam 1 (2023/2024) Already Graded A

  • Exam (elaborations) • 14 pages • 2023
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  • COB 191 Exam 1 (2023/2024) Already Graded A data values assigned to measurements primary data adv: collected and orgainzed by user dis: expensive and time consuming secondary data adv: readily available dis: no control over organization and accuracy nominal data -arbitrary labels -no ranking -name/label ordinal data -ranking exists -no measurable meaning to numerical differences -order/choices interval data -meaningful differences -no true value of zero -gives orders of values AND ability t...
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WGU C207 Final Self-Assessment 2023- 100% verified Q&A Latest update
  • WGU C207 Final Self-Assessment 2023- 100% verified Q&A Latest update

  • Exam (elaborations) • 60 pages • 2023
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  • Amanda is measuring the temperature. She looks at the thermometer and sees that it is somewhere between 65 and 66 degrees Fahrenheit. She is okay with the temperature in between two integers because she knows temperature is not ________ data, but temperature is _________ data.  a) Nominal, Ordinal  b) Nominal, Discrete  c) Continuous, Discrete  d) Discrete, Continuous Feedback: The correct answer is D. Temperature is not a measure that comes in increments (discrete) but is co...
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DATA SCIEN 2020Machine Learning Project
  • DATA SCIEN 2020Machine Learning Project

  • Presentation • 72 pages • 2023
  • In [1]: import pandas as pd import numpy as np from sklearn import preprocessing from _selection import train_test_split from _bayes import GaussianNB from cs import accuracy_score import seaborn as sns import t as plt from import zscore import warnings rwarnings( "ignore") from r_model import LinearRegression from er import KMeans from cs import mean_squared_error from ers_influence import variance_inflation_fac tor import math from r_model import LogisticRegression from sk...
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500 Comm Health MCQs Answered Correctly. 500 Comm Health MCQs Answered Correctly.
  • 500 Comm Health MCQs Answered Correctly.

  • Summary • 65 pages • 2023
  • Key: Red-unsure of answer, to be continued in explanation Yellow - sure answer. Kindly try to briefly explain the answers. COMMUNITY HEALTH REVISION Health systems Management 1. The following are the functions of the district health management team except a) Supportive supervision of the health center teams b) Coordinating inter-sectorial collaboration in health c) Formulate national health policy d) Participate in strengthening community participation in health e) Development of distr...
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Exam (elaborations) MATH 225N Week 8 Statistics Final Exam 2021
  • Exam (elaborations) MATH 225N Week 8 Statistics Final Exam 2021

  • Exam (elaborations) • 30 pages • 2021
  • Exam (elaborations) MATH 225N Week 8 Statistics Final Exam 2021 Week 8 Final Examscored 128 out of 160= 80% QUESTION 1 Of the following pairs of events, which pair has mutually exclusive events? rolling a sum greater than 7 from two rolls of a standard die and rolling a 4 for the first throw drawing a 2 and drawing a 4 with replacement from a standard deck of cards rolling a sum of 9 from two rolls of a standard die and rolling a 2 for the first roll drawing a red card and then drawing...
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MATH 225N  | Week 8 Final Exam scored 128 out of 160= 80%
  • MATH 225N | Week 8 Final Exam scored 128 out of 160= 80%

  • Exam (elaborations) • 30 pages • 2022
  • Week 8 Final Examscored 128 out of 160= 80% QUESTION 1 Of the following pairs of events, which pair has mutually exclusive events? rolling a sum greater than 7 from two rolls of a standard die and rolling a 4 for the first throw drawing a 2 and drawing a 4 with replacement from a standard deck of cards rolling a sum of 9 from two rolls of a standard die and rolling a 2 for the first roll drawing a red card and then drawing a black card with replacement from a standard deck of cards QUES...
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MATH MAT133 6-3 Homework Help Assignment Solutions
  • MATH MAT133 6-3 Homework Help Assignment Solutions

  • Exam (elaborations) • 10 pages • 2023
  • MATH MAT133 6-3 Homework Help Assignment Solutions. Homework Problem 3 Let's look at this textbook problem: 7.21 Joan’s finishing time for the Bolder Boulder 10K race was 1.75 standard deviations faster than the women’s average for her age group. There were 405 women who ran in her age group. Assuming a normal distribution, how many women ran faster than Joan? We need to figure out what percent (technically, proportion) of women had a shorter run time. Then we multiply that by 405 t...
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 DATA SCIEN Machine Learning Project.html
  • DATA SCIEN Machine Learning Project.html

  • Exam (elaborations) • 72 pages • 2023
  • In [1]: import pandas as pd import numpy as np from sklearn import preprocessing from _selection import train_test_split from _bayes import GaussianNB from cs import accuracy_score import seaborn as sns import t as plt from import zscore import warnings rwarnings( "ignore") from r_model import LinearRegression from er import KMeans from cs import mean_squared_error from ers_influence import variance_inflation_fac tor import math from r_model import LogisticRegression from sk...
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