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galina1969 [7]
3 years ago
12

Mauri’s little Sister weighed exactly 7 pounds when she was born. How many ounces did she weigh?

Mathematics
2 answers:
Goshia [24]3 years ago
8 0

Answer:

112 ounces

Step-by-step explanation:

Converting pounds to ounces is simple. Since there are exactly 16 ounces in one pound, just multiply the number of pounds by 16.

16

x. 7

------------

112

elixir [45]3 years ago
6 0

Searched it up on goggle

112

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Please help me, 6th grade math
Stells [14]

Answer:

Mean: 3.2 Median: 3.2 Mode:3.1 Range:0.5

Step-by-step explanation:

Easy.

5 0
3 years ago
Give me the best answer
Nadya [2.5K]
After rewriting all sets of data from smaller to greater, I found that the last series is the one that is represented by the plot box:

79,86,88,88,92,98,100,106,115,136

Why? Because The median is 95 (like the box)

because the outliers are >  115  (up to 136)
 because their is no outlier on the left by the mini value of 79
7 0
3 years ago
Hii can someone help with this pls :)
BlackZzzverrR [31]

Answer:

R(x,y) = (0.8,-1.2)

Step-by-step explanation:

The coordinates of QS are:

Q(x_1,y_1) = (-2,-6)

S(x_2,y_2) = (5,6)

The ratio is represented as:

R_{m:n} = 2:3

Required

Find the coordinates of R

The coordinates of R is calculated by:

R(x,y) = (\frac{mx_2 + nx_1}{m+n},\frac{my_2 + ny_1}{m+n})

Substitute values for m, n, x's and y's

R(x,y) = (\frac{2 * 5 + 3 * -2}{2+3},\frac{2*6 + 3*-6}{2+3})

R(x,y) = (\frac{4}{5},\frac{-6}{5})

R(x,y) = (0.8,-1.2)

<em>None of the options is correct</em>

6 0
3 years ago
Determine any data values that are missing from the tablo, assuming that the data represent a linear function.
mina [271]

Answer:

B.

Step-by-step explanation:

Missing xx:1 Missing y:5

7 0
3 years ago
(a) Find a 90% confidence interval for the population mean price (per 100 pounds) that farmers in this region get for their wate
Anon25 [30]

Answer:

The margin of error (E)  =0.49

Step-by-step explanation:

Given,

 mean \bar{x}=6.88

 standard deviation \sigma=1.90

 sample size n=41

90\% \quad \text{confidence interval}

Critical value =\frac{z_\alpha}{2}\quad \quad\quad[\because\;\alpha=1-\text{confidence interval}]  

                                                =1-0.90

                                        \Rightarrow \alpha=0.1

Critical value =\frac{z_{0.1}}{2}

                      =z_{0.05}

                      =1.645

The margin of error (E)  =\frac{z_\alpha}{2} \times\frac{\sigma}{\sqrt{n} }

                                       =1.645\times\frac{1.90}{\sqrt{41} }

                                       =0.49

Hence, The margin of error (E) =0.49

Complete question is attached in below.

                     

7 0
3 years ago
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