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📊 statistics

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Normal Probabilities
1. **Problem:** Calculate $P(-0.72 < z < 0)$ for a standard normal distribution. 2. **Formula and rules:** For a standard normal variable $z$, probabilities correspond to areas und
Sat Score Test
1. **Problem Statement:** We want to test the claim that retaking the SAT increases the score on average by more than 30 points. 2. **Given Data:**
Mean Variance Sum
1. **Problem 21:** Solve for $\bar{X}$ when $\sum X = 1800$ and $n = 80$. Formula:
Negative Strong Correlation
1. The problem asks us to interpret a correlation coefficient of $-0.85$ between two data sets. 2. The correlation coefficient, denoted as $r$, measures the strength and direction
Mean Calculation
1. **State the problem:** We need to find the mean, denoted as $\bar{X}$, given the sum of all values $\Sigma X = 1800$ and the number of values $n = 80$. 2. **Formula used:** The
Waiting Time
1. The problem asks why the waiting time might be longer for a young employee. 2. This is a question related to statistics and probability, often analyzed using concepts like the e
Salad Proportion Test
1. **Problem Statement:** We are testing if the proportion of American adults who eat salad at least once a week is 85% based on a sample of 200 adults where 178 eat salad weekly.
Harmonic Geometric Mean
1. **Problem Statement:** Calculate the harmonic mean and geometric mean for the given frequency distribution of monthly wages.
Frequency Distribution
1. **Stating the problem:** We are given a set of scores from Grade 7 learners' second quarter examination and asked to create a frequency distribution table and bar graph based on
Frequency Distribution
1. Ipagpalagay na ang data ay isang listahan ng mga numerical values o kategorya na kailangang hatiin sa mga klase o grupo para makagawa ng frequency distribution table. 2. Ang fre
Geometric Mean
1. **Problem Statement:** Calculate the geometric mean of the monthly wages given the frequency distribution of workers. 2. **Formula for Geometric Mean:**
Frequency Analysis
1. **State the problem:** We have a set of scores from Grade 7 learners and need to analyze the frequency distribution to answer questions about highest and lowest frequencies, and
Binomial Distribution
1. **Problem Statement:** We are given that 83% of federal government employees use e-mail. From a sample of 210 employees, we need to find the mean, variance, and standard deviati
Median Comparison
1. **State the problem:** We have two data sets, A and B. Data set A has 21 values including one outlier 19, and data set B is data set A without the outlier 19, so it has 20 value
Mean Garden Area
1. **State the problem:** We have a frequency distribution of garden areas with some missing frequencies. We know the total number of responses is 100, and the frequency in the int
Causation Correlation
1. The problem asks to identify which situation best represents causation. 2. Causation means one event directly causes another. Correlation means two events happen together but on
Multiple Regression
1. **Problem Statement:** We have monthly revenue (Y) and two predictors: Radio units (X1) and Television units (X2). We want to:
Regression Analysis
1. **Problem Statement:** (a)(i) Estimate the regression equation of Revenue (Y) on Radio units (X1) and Television units (X2).
Height Range
1. **Problem statement:** We are given the mean height $\mu = 158$ cm, standard deviation $\sigma = 20$ cm, and total number of students $N = 100$. We want to find how many student
Normal Distribution
1. **Problem Statement:** We want to find the probabilities that a normally distributed random variable falls within certain standard deviations (SD) from the mean. 2. **Background
Normal Distribution Sd
1. **Problem statement:** We have a normally distributed random variable $X$ representing the time for super glue to set, with mean $\mu = 30$ seconds. We want to find the standard