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sdas [7]
3 years ago
12

I am 5 more than 6 times 10. What number am I?

Mathematics
2 answers:
Strike441 [17]3 years ago
7 0

6 times 10 is 60. 60 plus 5 is 65.

horsena [70]3 years ago
6 0

Answer: 65

Step-by-step explanation: 6x10=60 and then plus 5 that equals 65

hope this helped...

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Rudiy27

Answer:

3

Step-by-step explanation:

f(x) = 3x² - 2x + 1

f(x) = ax² + bx + c

a = 3

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2 years ago
Can someone pls help me? I’m confused!
OleMash [197]

Answer:

? = 24

Step-by-step explanation:

Pizzas = 3

Because of this, burgers must be 2

2³ = 8

Tacos = 8

8 + 8 + 8 = 24

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3 years ago
Read 2 more answers
Elijah made 14 quarts of punch for a party. How many gallons of punch did he make?
DochEvi [55]

Answer:

3.5 gallons of punch

Step-by-step explanation:

There are 4 quarts in 1 gallon.

Set up equation to convert 14 quarts to gallons: 14÷4 = 3.5.

Elijah made 3.5 gallons of punch.

8 0
2 years ago
Can someone help 12 points on the line
ANTONII [103]

Answer:

x=6

Step-by-step explanation:

We can write this as a ratio

x        9

---- = --------

10       15

Using cross products

15x = 10*9

15x = 90

Divide by 15

15x/15 = 90/15

x =6

7 0
3 years ago
One stats class consists of 52 women and 28 men. Assume the average exam score on Exam 1 was 74 (σ = 10.43; assume the whole cla
Svetllana [295]

Answer:

(A) What is the z- score of the sample mean?

The z- score of the sample mean is 0.0959

(B) Is this sample significantly different from the population?

No; at 0.05 alpha level (95% confidence) and (n-1 =79) degrees of freedom, the sample mean is NOT significantly different from the population mean.

Step -by- step explanation:

(A) To find the z- score of the sample mean,

X = 75 which is the raw score

¶ = 74 which is the population mean

S. D. = 10.43 which is the population standard deviation of/from the mean

Z = [X-¶] ÷ S. D.

Z = [75-74] ÷ 10.43 = 0.0959

Hence, the sample raw score of 75 is only 0.0959 standard deviations from the population mean. [This is close to the population mean value].

(B) To test for whether this sample is significantly different from the population, use the One Sample T- test. This parametric test compares the sample mean to the given population mean.

The estimated standard error of the mean is s/√n

S. E. = 16/√80 = 16/8.94 = 1.789

The Absolute (Calculated) t value is now: [75-74] ÷ 1.789 = 1 ÷ 1.789 = 0.559

Setting up the hypotheses,

Null hypothesis: Sample is not significantly different from population

Alternative hypothesis: Sample is significantly different from population

Having gotten T- cal, T- tab is found thus:

The Critical (Table) t value is found using

- a specific alpha or confidence level

- (n - 1) degrees of freedom; where n is the total number of observations or items in the population

- the standard t- distribution table

Alpha level = 0.05

1 - (0.05 ÷ 2) = 0.975

Checking the column of 0.975 on the t table and tracing it down to the row with 79 degrees of freedom;

The critical t value is 1.990

Since T- cal < T- tab (0.559 < 1.990), refute the alternative hypothesis and accept the null hypothesis.

Hence, with 95% confidence, it is derived that the sample is not significantly different from the population.

6 0
3 years ago
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