Confidence Interval Learning Materials | Camosun College - Edubirdie

University:
Camosun College
Course:
BIOL 252 | Pathophysiology for Nursing 1
Academic year:

2024
Views:

40

Pages:

1
Author:

Aysha A.

Confidence Interval (C-I) Definition: A range of values within which the true value of the population parameter is expected to lie. Significance: Smaller the range of the C-I, the more significant the data. For Sample: 68% C-I: C-I = mean ± 1 SD 95% C-I: C-I = mean ± 2 SE 99% C-I: C-I = mean ± 2 SD/√n For Population: 95% C-I: Formula: Mean ± 2√(pq/n) Example Problem 1: If the mean Ca²⁺ level is 10, with an SD of 2, the C-I for Ca²⁺ below which 95% of the population will lie is calculated as: 95% C-I = Mean ± 2 SD = 10 ± 2 × 1 = 8 to 12 Example Problem 2: In a class, the mean weight is 70 kg, with an SD of 10 kg. 95% of the students will have a weight within the range of: Options: A) 50 kg, B) 47 kg, C) 55 kg, D) 60 kg Calculation and answer are to be determined based on the given options and formula.

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