📊 statistics

1. **State the Problem:** Test if male athletes in Fiji are taller than non-athletes at 5% significance using P-value.

1. **State the problem:** Calculate the expected return and standard deviation of a population given the returns: 9.6%, -15.4%, 26.7%, -0.2%, 20.9%, 28.3%, -5.9%, 3.3%, 12.2%, 10.5

1. Problem (Q1): Test at level $\alpha=0.05$ whether the three Solutions have different mean responses across Days. 2. Data and grouping for Q1: group 1 = $[13,22,18,39]$, group 2

1. The problem involves comparing blood pressure measurements across two time periods or conditions with 28 participants. 2. Given values: initial mean pressure $\mu_1 = 145$ mmHg,

1. The problem requests the statement of an alternative hypothesis. 2. In statistics, the alternative hypothesis represents what we want to test or prove, often denoted as $H_a$ or

1. **State the problem:** We want to test if the community health program increased the average systolic blood pressure from the previous mean of 145 mmHg after 3 months. 2. **Iden

1. Systematic random sampling is a statistical method used to select a sample from a larger population. 2. It involves selecting every $k^{th}$ element from the population list, wh

1. **State the problem:** We need to calculate the lower limit of a 90% confidence interval for the mean systolic blood pressure after the community health program. 2. **Identify t

1. **State the problem:** We want to find the upper limit of a 90% confidence interval for the mean systolic blood pressure after the program, based on a sample of 28 participants.

1. **Problem 1: Randomized Block Design Analysis** Given data for solutions (treatments) and days (blocks):

1. The problem is to find the Pearson product-moment correlation coefficient, which measures the linear relationship between two variables, $X$ and $Y$. 2. Given data includes sums

1. The problem is to calculate the Pearson product-moment correlation coefficient $r$ given the data: sums for $X$, $Y$, $X^2$, $Y^2$, and $XY$ with degrees of freedom $Df = 103$.

1. **State the problem:** We want to test if there is evidence that the students improved, i.e., the mean difference of errors (before - after) is greater than 0. 2. **Given data:*

1. Let's start by stating the problem: Understanding what a two-sample t-test is and when it is used. 2. A two-sample t-test is a statistical method used to determine whether the m

1. Problem 1: Frog lengths data: 7.3, 8.1, 7.8, 8.4, 7.9, 8.2, 7.6, 8.0, 7.7 2. (a) Range = max - min = 8.4 - 7.3 = $1.1$

1. Problem 1: Frog lengths data: 7.3, 8.1, 7.8, 8.4, 7.9, 8.2, 7.6, 8.0, 7.7 (a) Range:

1. **Problem 1: Randomised Block Design Analysis** Given three washing solutions and four days as blocks, analyse the data to test if there is significant difference between the so

1. **Problem statement:** We need to analyze the randomized block design experiment with three washing solutions over four days to test if there is a significant difference in bact

1. **Problem:** Analyze an experiment comparing three washing solutions (1, 2, 3) over four days to study their effectiveness in retarding bacterial growth using a randomized block

1. **Problem:** Analyze the randomized block design experiment comparing three washing solutions over four days to determine if there is a significant difference in their effective

1. **Problem Statement:** We have grouped data for weekly study hours of 50 students with frequency distribution. We will find the Mean, Median, Mode, Mean Deviation, Variance, and