sanjaykolekar53

sanjaykolekar53

Lv10

sanjaykolekar53Dr. D.Y. Patil Vidyapeeth

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I am a engineer

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Architecture12Project Management7History27Law3Management6English125Philosophy2Anthropology19Astronomy1Business32Marketing5Science28Electrical Engineering17Mechanical Engineering7Prealgebra41Sociology4Geography4Nursing29Psychology3Communications1Information Technology22Algebra188Precalculus5Engineering18Probability2Geometry28Computer Science70Accounting127Calculus68Biology53Mathematics13Statistics32Physics85Finance40Economics219Chemistry548
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Answer: Step-by-step explanation:yes electronics and telecommunications
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Based on the lab above, in the first photo and the reaction occurred when the lab was done in the second photo, create a lab report, including all of these following stuff:

1. Introduction. (this is where you want to first grab the readers attention with something interesting that relates to the experiment that took place. Then you would provide a summary of the scientific terms that are discussed in the lab, a description of the variables and the units that are used for measuring along with any equation or formulas that will be used.)

2. Purpose. (state the problem which is investigated)

3. Hypothesis. (make a prediction about the problem being studied (if applicable). And then state the independent and dependent variable. (state hypothesis as “If independent variable changes, then dependent variable will change.)

(independent variable is something that is controlled by the researcher and dependent variable is something that is controlled by the independent variable.)

4. Materials. (a list of materials needed to test the hypothesis or complete the investigation.)

(the things that were used for this lab was a coin, water dish soap, a ceramic plate, baking paper)

5. Observations. (a record of what occurs during the test.) Data should be recorded in a table, all data tables must be numbered and have a proper title, unit for measurement must be in table headings only.

6. Sample calculations. (samples of each type of calculation must be shown) if multiple calculations are required, the results of all calculation should be recorded in table format)

7. Discussion. (answer any require discussion or analysis questions in this section.) this is the two questions that are asked at the end of both part one and part two in the first photo attached above.

8. Conclusion. (stay all results if there was a hypothesis State, whether it was correct or incorrect and why)

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Answer:B elements of art
Answer:options A is correct
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Answer:mgcl2
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Answer: Step-by-step explanation:rock are melted answer is correct
+-/3.54 points BBUnderStat12 5.2.015. My Notes + Ask Your Teacher A fair quarter is flipped three times. For each of the following probabilities, use the formula for the binomial distribution and a calculator to compute the requested probability. Next, look up the probability in the binomial probability distribution table. (Enter your answers to three decimal places.) (a) Find the probability of getting exactly three heads. (b) Find the probability of getting exactly two heads. (c) Find the probability of getting two or more heads. (d) Find the probability of getting exactly three tails. -/3.54 points BBUnderStat12 5.2.016. My Notes Ask Your Teacher Richard has just been given a 10-question multiple-choice quiz in his history class. Each question has five answers, of which only one is correct. Since Richard has not attended class recently, he doesn't know any of the answers. Assuming that Richard guesses on all ten questions, find the indicated probabilities. (Round your answers to three decimal places.) (a) What is the probability that he will answer all questions correctly? (b) What is the probability that he will answer all questions incorrectly? (c) What is the probability that he will answer at least one of the questions correctly? Compute this probability two ways. First, use the rule for mutually exclusive events and the probabilities shown in the binomial probability distribution table. Then use the fact that Par > 1) = 1 - P(r = 0). Compare the two results. Should they be equal? Are they equal? If not, how do you account for the difference? They should be equal, but may not be due to table error. They should be equal, but may differ slightly due to rounding error. . They should not be equal, but are equal. o They should be equal, but differ substantially. (d) What is the probability that Richard will answer at least half the questions correctly?
Answer: Step-by-step explanation:probable value is 0 to 1 in points
Answer: Step-by-step explanation:p(A+B) =p(A)+p(b)
Answer: Step-by-step explanation:probability is 3/10
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Answer: Step-by-step explanation:Given data is quantitative
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Answer: Step-by-step explanation:Statistics is the discipline that concerns th...
Example 3: A survey was conducted to determine the proportion of registered voters in the U.S. that favor greater restrictions on purchasing handguns. One thousand registered voters in the U.S. were randomly selected and polled. Of those polled, 550 were in favor of greater restrictions on purchasing handguns. Identify the unit. Identify the population of units. Identify the population. Identify the sample. What is the sample size? Identify the symbol for the parameter of interest. Identify the symbol for the statistic. Identify the variable. Is the variable quantitative or qualitative? 1 of 5 Introduction to Statistics Statistics are used everyday to help us look at information and make decisions. For example, medical studies use statistics to determine possible causes of a disease. Engineers use statistics to predict the life of a part or device. Manufacturers use statistics to monitor the production of goods and materials. Goals 1. 2. 3. To recognize the difference between a population and a sample. To understand the difference between a parameter and a statistic. To recognize when descriptive or inferential statistics should be used. Important Terms and Definitions Statistics (singular) is the science concerned with the collection, organization, and analysis of information A unit is a single entity (person or object) whose characteristics are of interest A population of units is the complete collection of units about which information is sought. A population is a set of all measurements corresponding to each unit in the entire collection of units about which information is sought. A sample is a subset of measurements selected from the population of interest A representative sample exhibits characteristics typical of those possessed by the target population. A random sample ensures that every subset of fixed size in the population has the same chance of being included in the sample. A variable is a characteristic of an individual or object that may vary for different observations, A quantitative variable measures a variable on a numerical scale. A qualitative variable categorizes the values of the variable. Statistics (plural) are numerical characteristics calculated from a sample. A parameter is a numerical characteristic of a population. Usually a parameter is an unknown quantity. Descriptive Statistics is concerned with organizing and describing sample information. (Descriptive statistics describe how things are.) Inferential Statistics is concerned with making inferences (predictions or decisions) about a population based on the information contained in a sample. (Inferential statistics describes how things probably will be.) A measure of reliability is a statement about the degree of uncertainty associated with a statistical inference.
Answer: Step-by-step explanation:no restricted is 450 voter
1 of 5 Introduction to Statistics Statistics are used everyday to help us look at information and make decisions. For example, medical studies use statistics to determine possible causes of a disease. Engineers use statistics to predict the life of a part or device. Manufacturers use statistics to monitor the production of goods and materials. Goals 1. To recognize the difference between a population and a sample. To understand the difference between a parameter and a statistic. To recognize when descriptive or inferential statistics should be used. 2. 3. Important Terms and Definitions Statisties (singular) is the science concerned with the collection, organization, and analysis of information. A unit is a single entity (person or object) whose characteristics are of interest A population of units is the complete collection of units about which information is sought. A population is a set of all measurements corresponding to each unit in the entire collection of units about which information is sought. A sample is a subset of measurements selected from the population of interest. A representative sample exhibits characteristics typical of those possessed by the target population. A random sample ensures that every subset of fixed size in the population has the same chance of being included in the sample. A variable is a characteristic of an individual or object that may vary for different observations. A quantitative variable measures a variable on a numerical scale. A qualitative variable categorizes the values of the variable. Statisties (plural) are numerical characteristics calculated from a sample. A parameter is a numerical characteristic of a population. Usually a parameter is an unknown quantity. Descriptive Statistics is concerned with organizing and describing sample information. (Descriptive statisties describe how things are.) Inferential Statistics is concerned with making inferences (predictions or decisions) about a population based on the information contained in a sample. (Inferential statistics describes how things probably will be.) A measure of reliability is a statement about the degree of uncertainty associated with a statistical inference. Example 4: For a class project you are asked to determine the average credit hours taken by Clemson students. One hundred CU students were randomly selected, and the average credit hours were calculated. Determine if the following statements are concerned with descriptive or inferential statistics. The average semester credit hours taken by the 100 Clemson students who were polled were 16 hours. The average semester credit hours taken by Clemson students are more than 15 hours.
Answer: Step-by-step explanation:Individuals use statistics to make decisions ...
Answer: Step-by-step explanation:Descriptive statistics is used to describe th...
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Answer: Step-by-step explanation:options A new seafloor