population Mean: Standard Deviation: If population of individual measurements is normal‚ x is normal Sample size (n ≥ 30)‚ x is normal To convert any random variable X to standardized normal random variable Z: To determine the percentile using z-score‚ use normalcdf(lower‚ upper‚ mean‚ standard deviation). To determine Z using the given area from the left of the bell curve and standard deviation‚ use invNorm(probability‚ mean‚ standard deviation). If using the right
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mode. Descriptive Statistics: Size Mean 3.42 Standard Error 0.24593014 Median 3 Mode 2 Standard Deviation 1.73898868 Sample Variance 3.02408163 Kurtosis -0.7228086 Skewness 0.52789598 Range 6 Minimum 1 Maximum 7 Sum 171 Count 50 Frequency Distribution: Size Frequency 1 5 2 15 3 8 4 9 5 5 6 5 7 3 The mean household size of the customers is given as 3.42. The median of the data is 3 and the mode is 2. The standard deviation is given approximately as 1.74. Maximum number
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SACE NUMBER: 215877W Impression Formation Proposal: The question being posed is does different stimuli affect a person’s impression of something or someone. This report seeks to learn if video and audio stimuli has an effect on peoples view on a certain subject or person. The investigation type that will be used for this investigation will be experimental‚ as the researchers can manipulate and measure the variables and the effect they have on the participants. Two groups of participants will
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that X has a normal distribution‚ and find the indicated probability. The mean is μ = 60.0 and the standard deviation is σ = 4.0. Find the probability that X is less than 53.0. Choose one answer. a. 0.5589 b. 0.0401 c. 0.9599 d. 0.0802 Question2 Marks: 1 Use the given degree of confidence and sample data to find a confidence interval for the population standard deviation. Assume that the population has a normal distribution. Weights of eggs: 95% confidence; n = 22‚ x =
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Summary Chapter 1-7 Chapter 1 * Population – consists of members of a group which you want to draw a conclusion * Sample – portion of population * Parameter – numerical measure that describes a characteristic of a population * Statistic – numerical measure that describes a characteristic of a sample * Descriptive statistics – collecting‚ summarizing and presenting data e.g. survey * Inferential statistics – drawing conclusions about a population based on sample data
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Calibration of Pipettes and Burettes Names TA Name‚ Thursday Lab: 1:40 P.M. - 4:10 P.M. Aim: This experiment sought to gather data regarding water volume gathered in glassware‚ then to statistically analyze the data‚ focusing on average and standard deviation‚ along with relative error gleaned from linear regression. Introduction: This experiment was divided into two parts. For part one of the experiment‚ 25 mL were transferred from a glass pipette to a tarred beaker and weighed using an analytical
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Introduction: The purpose of the first experiment was to practice obtaining accurate and precise results by doing combustion analysis to find the amount of carbon dioxide and water released and the amount of fuel consumed. To identify the amount of carbon dioxide‚ water and burner consumed there were three equations used to find it. Equation 1 shows how much carbon dioxide was released. Mass of carbon dioxide = m2 - m1 Equation 1 was used as an experimental procedure created to help find out
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6‚ 3‚ 1‚ 12 A) 3 B) 5 C) 6 D) 7 Find the mode for the following data? 5‚ 4‚ 3‚ 4‚ 5‚ 6‚ 5‚ 5‚ 3‚ 4 A) 3 B) 4 C) 5 D) 6 If a set of data has 49 values with a variance of 9.6‚ then the standard deviation is _________. A) 1.4 B) 0.4 C) 0.2 D) 3.1 If a data set has 9 values and a standard deviation 9.4‚ then the variance is ________. A) 88.4 B) 3.1 C) 29.5 D) 28.2 The staff at a small company includes: 4 secretaries‚ 20 technicians‚ 4 engineers‚ 2 executives‚ and 50 factory workers.
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An investigation on the factors affecting beat frequency of a coupled pendula system. Abstract In the course of this experiment‚ I investigate how the mass of the counter-weight affects the beat frequency‚ when the system is put into the perfect superposition of the symmetric and anti-symmetric modes. I then go onto to explore different factors and other ideas involved with coupled pendula systems. Essential Theory In order to gain understanding on the workings of these phenomena‚ I will be starting
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distribution. In a positively skewed distribution the measures of central tendency will not be in the same place‚ they would be above the average‚ median‚ score. In an intelligence test where the mean is 100 and the standard deviation is 15 are distributed in a certain way. Standard deviation is a computed measure of how the scores vary around the mean score. This means that 100 is the average score of all the scores and the scores vary about 15 points around the mean score. If there are two groups
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