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Inessa [10]
3 years ago
5

Tammy has scored 82, 78, and 93 on her previous three tests. What score does she need on her next test so that her average (mean

) is 81?
Mathematics
1 answer:
Lyrx [107]3 years ago
5 0

Answer:

She needs a grade of 71 on her next text.

Step-by-step explanation:

Mean of a data-set:

The mean of a data-set is the sum of all values in the data-set divided by the number of values.

Tammy has scored 82, 78, and 93 on her previous three tests.

Thus, her grades are 82, 78, 93 and x, in which x is her grade in the fourth test.

There are 4 tests.

What score does she need on her next test so that her average (mean) is 81?

We have to find x when the mean is 81. So

\frac{82 + 78 + 93 + x}{4} = 81

253 + x = 324

x = 324 - 253

x = 71

She needs a grade of 71 on her next text.

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assuming each person gets one cookie

a 1 1/4 C

b 3/8 tsp

Step-by-step explanation:

divide recipe in half

a 2.5/2=1.25

b 3/4 ÷ 2 ; rewrite to 6/8 ÷2 = .375

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2 years ago
What is the value of Y
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76 degrees. Angle y is supplementary to angle “2x+20”.
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3 years ago
Please help will give brainliest
Gelneren [198K]

Answer:

B

Step-by-step explanation:

It is B because to find the volume you multiply all three values together, which gets you 68.448. I multiplied 9.2x3.1, which got me 28.52, and then I multiplied 28.52 by 2.4 which got me 68.448.

6 0
3 years ago
In a study of the impact of smoking on birth weight, researchers analyze birth weights (in grams) for babies born to 189 women w
kompoz [17]

Answer:

c. Smoking is associated with lower birth weights. When smokers are compared to nonsmokers, we are 95% confident that the mean weight of babies born to nonsmokers will be between 76.5 grams to 486.9 grams more than the mean birth weight of babies born to smokers.

Step-by-step explanation:

The difference in mean birth weights (nonsmokers minus smokers) is 281.7 grams with a margin of error of 205.2 grams with 95% confidence.

Then, we know that the 95% confidence interval is (76.5, 486.9)

LL=M-MOE=281.7-205.2=76.5\\\\UL=M-MOE=281.7+205.2=486.9

<em>a. We are 95% confident that smoking causes lower birth weights by an average of between 76.5 grams to 486.9 grams.</em>

False, it interprets the confidence interval as a probability for individual cases. The confidence interval is a range for the population mean.

<em>b. There is a 95% chance that if a woman smokes during pregnancy her baby will weigh between 76.5 grams to 486.9 grams less than if she did not smoke.</em>

False, it interprets the confidence interval as a probability for individual cases. The confidence interval is a range for the population mean.

<em>c. Smoking is associated with lower birth weights. When smokers are compared to nonsmokers, we are 95% confident that the mean weight of babies born to nonsmokers will be between 76.5 grams to 486.9 grams more than the mean birth weight of babies born to smokers.</em>

True.

<em>d. With such a large margin of error, this study does not suggest that there is a difference in mean birth weights when we compare smokers to nonsmokers.</em>

There is enough evidence, as the lower bound of the confidence is positive. This means that there is only a probability of 0.05/2=0.025 that the true mean weight difference is smaller than 76.5 grams.

6 0
3 years ago
Can someone answer this!?
Karolina [17]

Answer:

x = 58

Step-by-step explanation:

Hope this helps

enjoy

4 0
2 years ago
Read 2 more answers
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