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jeka94
3 years ago
14

A baker uses different amounts of salt when she bakes loaves of bread, depending on which recipe she is following. the amount of

salt called for in each recipe is shown on the line plot.
xxxx 1/8
xxxx 1/4
xxxx 3/8
xx 1/2
What is the average amount of salt called for in each recipe?
Mathematics
1 answer:
noname [10]3 years ago
5 0
I'm guessing it's probably 1/8
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babymother [125]
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Solve for x in the equation x2+2x+1=17
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If you meant 2x + 2x + 1 = 17: x = 4
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7 0
3 years ago
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Farm has chickens and cows. All the cows have 4 legs and all the chickens have 2legs.
mixas84 [53]

Answer:

19 cows and 3 chickens

18 cows and 5 chickens

17 cows and 7 chickens

16 cows and 9 chickens

15 cows and 11 chickens

Step-by-step explanation:

For example, the first one

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4 0
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The variance can never bea.zerob.larger than the standard deviationc.negatived.smaller than the standard deviation
MrRa [10]

Answer:

c.negative

True, by definition since the variance take in count the differences around the mean squared, then we can't have a negative value for a sum of square values.

Step-by-step explanation:

We need to remember that the variance is a measure of dispersion for a dataset respect to a measure of central tendency called the mean. The mean is defined as:

\bar x = \frac{\sum_{i=1}^n X_i}{n}

And the population mean is given by:

\mu= \frac{\sum_{i=1}^n X_i}{N}

The population variance is defined by:

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And the sample variance is defined as:

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Now if we analyze the options we have this:

a.zero

False, if all the values are the same then the mean would be the same to the values and the difference between each value and the mean would 0 and indeed the variance would be 0.

b.larger than the standard deviation

False, if the population standard deviation is \sigma=2 then the variance would be \sigma^2 = 4 and as we can see is higher than the standard deviation

c.negative

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d.smaller than the standard deviation

False, if the population standard deviation is \sigma=0.1 then the variance would be \sigma^2 = 0.01 and as we can see is lower than the standard deviation

7 0
3 years ago
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