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In-s [12.5K]
3 years ago
8

A town in east Texas received 10 inches of rain in two weeks. If it kept raining at this rate for a 31−day month, how much rain

did the town receive?
Mathematics
2 answers:
Ber [7]3 years ago
8 0
Multiply 10 for each 2 weeks in the month
vichka [17]3 years ago
5 0
I would start by figuring out what one day of rain would be, in this case two weeks is 14 days, so we get 10 inches in 14 days. 14 divided by 10 is 1.4. Now you do 1.4 multiplied by 31 for each day, which equals 43.4. I think that in 31 days this town in Texas will receive 43.4 inches of rain.
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PLEASE HELP!
igomit [66]

Answer:

Part 1. 325 - (135 + 89) = c

Part 2. ≤ 101

Step-by-step explanation:

<h2><u><em>Brainliest Please!</em></u></h2>
6 0
3 years ago
millie needs the average height of the plants she is buying to be at least 73 inches. she has selected three plants that are 70,
stiv31 [10]
 (70+71+72+x)/4 ≥ 73

 (213+x)/4 ≥ 73
 
 213+x ≥ 73*4
 
 213+x ≥ 292
-213      -213
 
 x ≥79

Check: 
(70+71+72+80)/4 

292/4

73.25

Your Answer:
x ≥ 79


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4 years ago
3. Solve the following word problems:
klasskru [66]

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3 years ago
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Fed [463]
Where is the graph show the graph
7 0
3 years ago
A potato chip manufacturer has found that in the past the standard deviation of bag weight has been 0.2 ounce. They want to test
Brut [27]

Answer:

Null Hypothesis: \sigma=0.2

Alternative hypothesis: \sigma \neq 0.2 (Changes on the deviation)

Step-by-step explanation:

s represent the sample standard deviation

\sigma represent the population standard deviation (variable of interest)

\sigma_o =0.2 represent the value that we want to test

n represent the sample size

A hypothesis is defined as "a speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false".  

The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".

The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".

Based on this the system of hypothesis should be:

Null Hypothesis: \sigma=0.2

Alternative hypothesis: \sigma \neq 0.2 (Changes on the deviation)

In order to test these system of hypothesis we need to select a significance level \alpha, then we need to calculate an statistic given by this formula.

\chi^2 =\frac{(n-1)s^2}{\sigma^2_o}

Then we need to calculate the degrees of freedom for the statistic on this case

df=n-1

And after this we need to calculate the pvalue based on the significance, the alternative hypothesis and the statistic calculated.

If the p_v we reject the null hypothesis

If the p_v >\alpha we FAIL reject the null hypothesis

3 0
3 years ago
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