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📊 statistics

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Mean Frequency 3Ca942
1. **State the problem:** We have a frequency distribution of earthworm lengths with one unknown frequency $K$ for the interval $68 \leq L < 72$. The mean length is given as 71.9 m
Earthworm Lengths B816A9
1. **State the problem:** We need to find the value of $K$, which represents the number of earthworms with lengths at least 68 mm but shorter than 72 mm, given the mean length of a
Confidence Interval 6Eae0A
1. **State the problem:** We want to find the lower limit of a 95% confidence interval for the proportion $p$ of Jamaican nationals who select jogging as a recreational activity. 2
Sample Mean Probability 227Da7
1. **Problem statement:** We have fried chicken dinners with mean weight $\mu = 48.0$ hectograms and standard deviation $\sigma = 2.4$ hectograms. We take a random sample of size $
Sample Mean Probability D2D9De
1. **Problem statement:** We have fried chicken dinners with mean weight $\mu=48.0$ hectograms and standard deviation $\sigma=2.4$ hectograms. We take a random sample of size $n=10
Sample Mean Probability 910422
1. **Problem statement:** We have fried chicken dinners with mean weight $\mu=48.0$ hectograms and standard deviation $\sigma=2.4$ hectograms. We take a random sample of size $n=10
Sampling Distribution 0Ca875
1. **Problem Statement:** We have a production process with output per hour normally distributed with mean $\mu=92.0$ and standard deviation $\sigma=3.6$. A sample of size $n=4$ is
Linear Regression D78690
1. **State the problem:** We are given sums of $x$, $x^2$, $y$, $y^2$, and $xy$ for seven data points and need to find the linear regression line $\bar{y} = a + bx$.
Sample Mean Probability 06Dc57
1. **State the problem:** We have a sample of size $n=25$ from a normal population with mean $\mu=4$ and standard deviation $\sigma=2$. We want to find the probability that the sam
Area Right Z 0A69D7
1. The problem asks for the area to the right of $z = 1.32$ under the standard normal distribution. 2. The standard normal distribution is symmetric with mean 0 and standard deviat
Z Score Value D8F410
1. The problem states that $X$ is a normal random variable with mean $\mu = 50$ and standard deviation $\sigma = 3$. We are given a z-score $z = -1.2$ and asked to find the corresp
Sample Size 2B79Cf
1. **State the problem:** We want to find the sample size $n$ required to estimate a population proportion $p$ within a margin of error $E=0.06$ at a 99% confidence level. 2. **For
Sample Mean Variance 9241C7
1. **Problem Statement:** Calculate the sample mean operating time and sample variance for the given machine hours data: 3, 6, 2, 5, 5, 4, 5. 2. **Formula for Sample Mean:**
Correlation Coefficient F177Ad
1. **State the problem:** Calculate the value of $$r = \frac{7 \times 2495 - 113 \times 161}{\sqrt{(7 \times 1889 - 113^2)(7 \times 3883 - 161^2)}}$$
Mean Median Mode Fae069
1. **Problem statement:** We need to find five numbers for each of the following conditions: i) mode < median < mean
Frequency Density 513E28
1. **Problem statement:** We are given a histogram showing honey production by beehives. We know 400 beehives produced between 16 kg and 18 kg of honey. We need to find the frequen
Paired T Test A5D008
1. **Stating the problem:** We have two brands of cars with measurements for 8 cars each. The differences between Brand 1 and Brand 2 for each car are given. We want to test the hy
Chi Square Opinions 81Ea71
1. **Stating the problem:** We want to test if there is a significant difference in consumer opinions on three aspects (Harga, Kebersihan, Cita Rasa) of a restaurant based on the s
Study Conclusion C1D657
1. The problem asks us to determine which conclusion is appropriate based on the researcher's findings about guinea pigs and wild cavies crossing virtual squares in different habit
Median Histogram E9B17E
1. **Stating the problem:** We are asked to find the median value from the given histogram data with class midpoints and frequencies. 2. **Data given:**
Correlation Estimate Df2249
1. The problem asks to estimate the correlation coefficient of a scatterplot showing a positive linear trend with moderate strength. 2. The correlation coefficient, denoted as $r$,