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Your Name Instructor NameCourse NumberDateSpanish Composition: Mi Familia Mi nombre es Miriam Melohn. Soy uno de siete hermanos. Tengo cuatro hermanos y dos hermanas. Soy el sexto hijo de mi familia. Crecer con una gran familia es muy divertido. Lamentablemente, los padres de mi padre ya no están vivos, pero estoy muy agradecido de tener tanto a mi abuela como a mi abuelo por parte de mi madre. Mi padre tiene dos hermanos, y él es el hijo del medio. Cada uno de sus hermanos tiene ocho hijos, lo que significa que soy afortunado de tener muchas primas y primos hermanos con los que conversar. Mi madre es hija única, así que no tengo primos de su lado de la familia. Aunque amo mucho a todos en...

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Pages: 1

AMDM DB5

Name Instructor Course Date Gender differences between men and women in health care access indicators in an urban, low-income community1) The independent variable is the gender differences between the men and women. 2) The depended variables of the study are factors that are associated with the rising gender differences in the growing health insurance and the normal health Medicare. 3) The methods used in the study included personal interviews, and the predictions of the two variables were done through logistical regression. 4) The sampling and conduct of the survey involved conducting an interview of 695 respondents who resided in New York, specifically Central Harlem. It is...

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AMDM DB4

AMDM DB4 Student’s Name Institution Affiliation AMDM DB4The author concluded that there was a difference in the data of men and women after conducting a statistical test. Statistical testing is used to confirm that the provided data has statistical significance. In doing so, the researcher realizes whether he needs to retain the null hypothesis or to reject it. The decision will lead to the conclusion of the findings from the investigation. The test revealed that the female population was statistically significant population. Therefore, the researcher arrived at his conclusion following the fact that the data was consistent with the significance. The author did not disregard the importance...

Words: 275

Pages: 1

Data Science

Data Science Student Name Institutional Affiliation Data science Data science can best be described as an interdisciplinary approach, which has numerous dynamics relating to the extraction, formatting, and interpretation of large volumes of data to come up with insights and decisions. In the world today, data has become an essential part of most organizations notwithstanding the types of organizations. This dependence on data has come as a result of increased data collection points. The revolution of the technological world through the introduction of the Internet has led to the development of major data points. These majorly included phones, computers, and many other devices that are connected...

Words: 550

Pages: 1

Forecasting Models

Forecasting Models Name Institution Affiliation Forecasting involves the use of various estimating methods to determine the possible future outcomes. Organizations use the forecasting models in production as well as other operations management to implement optimal strategies and make informed decisions. Considering the forecasting models discussed in chapter 6, they have various strengths and weaknesses. One major strength of these forecasting models is that an organization can get better perspectives on future outcomes by relying on the data previously collected. Secondly, all the forecasts give sufficient information to make future decisions. They provide valuable information that an...

Words: 275

Pages: 1

Growth mindset is an effective solution to stereotype threat.

Student’s Name Tutor’s Name Course Date Growth Mindset Is an Effective Solution to Stereotype Threat. In his book “Whistling Vivaldi,” Dr. Claude Steele describes a clear picture of how negative stereotypes affect human ability. The author of this book uses his account as well as research to postulate results of stereotypes in both individuals and groups. According to him, even through stereotype exists in different aspects of life, in the U.S it is majorly seen in gender as well as race. As such, people should learn the difference between facts and perceptions. With the current rate of education, people have grown in mindset, and this should help them in discerning. The...

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Confidence Intervals

Confidence Interval Student’s Name Institution Confidence Interval Confidence interval (CI) is the range of values or data derived from a given statistics assumed to include the “true” or actual population value comprehensively (Lang et al., 2006). Researchers have been using CI to conclude a study population because of the presumption that CI closely represent the population. Two samples from a given population cannot generate similar CI; however, repetition of the samples many times will create a CI the unknown population parameter. Researchers calculated CI for either mean or proportion data and reported in the results section of a published research (Lang et al., 2006). Statistical...

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Pages: 1

the uses of the normal distribution and the application of the Empirical Rule as well as the Central Limit Theorem

Normal Distribution, Empirical Rule, and Central Limit Theorem Name Institution Normal Distribution, Empirical Rule, and Central Limit Theorem Iron Levels in a Population Mean = 15.5 gdL Standard deviation = 1.6 gdL Single Patient Based on the empirical rule, 68% of the data values will fall ±1 SD of the mean. To calculate the values; 15.5 − 1.6 = 13.9 15.5 + 1.6 = 17.1 The range of numbers is 13.9 to 17.1 Next, 95% of the data values fall ±2 SD of the mean. The values are; 15.5 – 2(1.6) = 12.3 15.5 + 2(1.6) = 18.7 The range of numbers is 12.3 to 18.7 Finally, 99.7% of the data values will fall ±3 SD of the mean. They are; 15.5 – 3(1.6) = 10.7 15.5 + 3(1.6) = 20.3 The...

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Pages: 1

frequency distributions

FREQUENCY DISTRIBUTIONS Name Course Institution The frequency distribution diagram displays the maximum and minimum points, median, range and standard deviation of the serum granulysin level in a group with the mild presentation. The diagram also includes displays the grouping of observations into hospitalized, outpatients and the control group of the sample (64 patients in total). The range (the difference between the maximum and the minimum observations) displays the diversity or spread of the data. While the range has limitations because of the occurrence of outliers, the problem is solved by having a control group. The range sets boundaries or thresholds, such as a critical high or low and...

Words: 275

Pages: 1