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Statistics for Psychology

By: Material type: TextTextPublication details: New Delhi Pearson Pub. 2020Edition: 6thDescription: 729pISBN:
  • 9789353940362
DDC classification:
  • 150.727 ARO-S
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Reference Book Reference Book Amity Central Library AIBAS Reference 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Not For Loan 31337
Books Books Amity Central Library AIBAS Text Book 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Checked out 21/09/2022 31338
Books Books Amity Central Library AIBAS Text Book 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Checked out 02/12/2024 31339
Books Books Amity Central Library AIBAS Text Book 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Available 31340
Books Books Amity Central Library AIBAS Text Book 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Available 31341
Books Books Amity Central Library AIBAS Text Book 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Available 31342
Books Books Amity Central Library AIBAS Text Book 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Available 31343
Books Books Amity Central Library AIBAS Text Book 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Available 31344
Books Books Amity Central Library AIBAS Text Book 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Available 31345
Books Books Amity Central Library AIBAS Text Book 150.727 ARO-S (Browse shelf(Opens below)) Link to resource Available 31346

Chapter 1 Displaying the order in a group of numbers Chapter 2 Central tendency and variability Chapter 3 Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability Chapter 4 Introduction to hypothesis testing Chapter 5 Hypothesis testing with means of samples Chapter 6 Making sense of statistical significance: Effect size and statistical power Chapter 7 Introduction to the t test: Single sample and dependent means Chapter 8 The t test for independent means Chapter 9 Introduction to the analysis of variance Chapter 10 Factorial analysis of variance Chapter 11 Correlation Chapter 12 Prediction Chapter 13 Chi-square tests Chapter 14 Strategies when population distributions are not normal: Data transformations and rank-order tests Chapter 15 Integration and the general linear model and Making sense of advanced statistical procedures in research articles"

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