A Quarter has the value of 25 cents A Dollar has the value of 100 cents The value of a Quarter is 25% of a Dollar because the ratio of values of a Quarter to a Dollar is 25 cents to 100 cents, or 25/100. Complete the table below (See the table on on slide 4 for all the coin names/values) You may use the sketch tool to show your reasoning. Expression Coin Name Ratio Fraction 25 25% of a dollar Quarter 100 50% of a dollar 1% of a dollar 10% of a dollar 5% of a dollar 100% of a dollar.

Q: How do I solve this?

A: given number of people probability 1 0.25 2 0.32 3 ? 4 ? 5 0.07 6 0.03 7+ 0.01…

Q: In a past election, the voter turnout was 57%. In a survey, 934 subjects were asked if they voted in…

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Q: How do I solve this ?

A: GIVEN: 6 - x - x2  if x ≤ 32x - 5         if x > 3

Q: I don't understand the writing like that. Can someone write the solution neatly? Thank you!

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Q: don't understand how I'm supposed to solve this question.

A: Basic concept of discrete probability distribution are used

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Q: I can't complete

A: Since you have posted multiple sub-parts of question , we will solve first three  sub-parts for you.…

Q: I'm having trouble with this but can I get a and b for this problem thank you!

A: n1=80, x1=64 n2=60, x2=39 X: people got sick 1: Ate fish 2: Did not eat fish

Q: Can you teach people a simpler way to do this?

A: Here, I have taken marked price as $100.

Q: how do i solve this?

A: Given that: The table ,

Q: Can you write part a a bit more clearly. I can't understand what's happening where you are…

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Q: I need help on this practice problem.

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Q: I am not sure how to even go about solving this.

A: The following is the formulae to calculate Weighted Average (W)…

Q: How do I solve this?

A: 1,2,3....,23,24,25 are called element of set S.  Hence, set S has 25 element which mean n(S) = 25…

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.