Descriptive Statistics is used when describing certain aspects of an immediate group within the population. For example‚ we may want to describe a math class and compare it to a class of science. Things that we may want to use for comparison would be age‚ gender‚ and even math skills. Descriptive statistics would allow us to analyze all those different areas and provide a comparison to view similarities‚ differences and ratios. Before any study is to be observed certain factors would have to be ascertained
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How to Bring Apple Back to the Top RES/351 September 26‚ 2013 How to Bring Apple Back to the Top On June 27‚ 2007 Apple released the first generation iPhone. Apple had revolutionized a number of their products prior to the iPhone. The iPod was the most popular electronic for personal entertainment for years. At the release of the original iPhone‚ Apple saw a similar effect on the cell phone industry. There was not another phone on the market that had a virtual keyboard‚ the ability to receive
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Research‚ Statistics‚ and Psychology PSY 315 Amber Lupo November 8‚ 2010 Amber Nelson “The definition of scientific method is a method of research in which a hypothesis is tested by means of a carefully documented control experiment that can be repeated by any other researcher” (yourdictionary.com‚ 2010.) “Research is the scholarly or scientific investigation or inquiry” (American Heritage Dictionary‚ 2000.) Primary and secondary data are dependent to each other‚ but also completely
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Population variance = σ2 = Σ ( Xi - μ )2 / N * Variance of population proportion = σP2 = PQ / n * Standardized score = Z = (X - μ) / σ * Population correlation coefficient = ρ = [ 1 / N ] * Σ { [ (Xi - μX) / σx ] * [ (Yi - μY) / σy ] } Statistics Unless otherwise noted‚ these formulas assume simple random sampling. * Sample mean = x = ( Σ xi ) / n * Sample standard deviation = s = sqrt [ Σ ( xi - x )2 / ( n - 1 ) ] * Sample variance = s2 = Σ ( xi - x )2 / ( n - 1 ) * Variance
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Level of Significance (alpha) 0.010 0.010 0.010 0.010 Critical Value (lower tail) -2.576 -2.576 -2.576 -2.576 Critical Value (upper tail) 2.576 2.576 2.576 2.576 Hypothesized value 12 12 12 12 Standard Error 0.040 0.040 0.038 0.038 Test Statistic -1.027 0.713 -2.935 2.161 p-value 0.304 0.476 0.003 0.031 Only sample 3 leads to the rejection of the hypothesis H0: µ = 12. Thus‚ corrective action is warranted for sample 3. The other samples indicate H0 cannot be rejected and thus from all
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were randomly and independently chosen from the populations‚ population distributions are normal for each group; and population variances are equal for all groups. The assumptions of ANOVA are identical to the t-test and the calculated statistic is called an F-value which has a probability value associated with it. As with the t-test‚ if our probability value is less than 0.05 we reject our null hypothesis (in this case that there is no difference among the treatment groups). This p-value
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STATISTICS - Lab #6 Statistical Concepts: Data Simulation Discrete Probability Distribution Confidence Intervals Calculations for a set of variables Open the class survey results that were entered into the MINITAB worksheet. We want to calculate the mean for the 10 rolls of the die for each student in the class. Label the column next to die10 in the Worksheet with the word mean. Pull up Calc > Row Statistics and select the radio-button corresponding to Mean. For Input variables:
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independent observations by the number of observations in the group that represent one of two outcomes. For example‚ the proportion of individuals in a random sample who support one of two political candidates fits this description. In this case‚ the statistic is thecount X of voters who support the candidate divided by the total number of individuals in the group n. This provides an estimate of the parameter p‚ the proportion of individuals who support the candidate in the entire population. The binomial
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Certain crimes are more prevalent than others‚ depending on the area. Many factors such as the population‚ ethnicity‚ and inequality between a group of individuals may contribute to the conflict perspective on crime rates. Crime rate can either increase or decrease on the scale. Therefore‚ even the number of crimes which are reported by the media‚ do not show competency and thus deemed inaccurate. According to Highfield (2014) "Those numbers‚ however‚ are not entirely accurate" (par. 2).
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Shenise Peterson Statistics Research Paper A. Nikzad March 20‚ 2012 Leonard Euler was born on April 15‚ 1707 in Basil‚ Switzerland (Patterson‚ 1998). He was brought up in the church (Patterson‚ 1998). His father Paul Euler was pastor of a reformed church as well as his mother’s father (Wikipedia‚ 2012). At that time‚ Basel was one of the main locations where mathematics was practiced in Europe (Patterson‚ 1998). Euler started school when he was 7 years old and was tutored by Johann Bernoulli‚ Europe’s
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