All categories

3 years ago

The figure is a parallelogram Solve for x.

Mathematics

1 answer:

polet [3.4K]3 years ago

7 0

Answer:

The value of x is 11.

Explanation:

The opposite sides of a parallelogram being equal, GD will be equal to 17. Equating, the value '11' is obtained.

You might be interested in

Picture Perfect Physician's has 5 employees. FICA Social Security taxes are 6.2% of the first$118,500 paid to each employee, and

Otrada [13]

Thats really long.... i wish i knew, sorry

4 0

3 years ago

Please answer this question asap will be marked brainliest

Papessa [141]

Answer: 9.85 inches

Step-by-step explanation:

Each point on the graph represents the total rainfall in one month in this desert. For instance, the 2 points on top of 1.0 inches indicates that there were two months in the year where rainfall was 1.0 inches.

The total rainfall in this desert was therefore:

= 0.4 + 0.5 + 0.5+ 0.6 + 0.85 + 0.85 + 0.95 + 1.0 + 1.0 + 1.05 + 1.05 + 1.1

= 9.85 inches

4 0

3 years ago

A pair of sneakers is on sale for $60. This is 80% of the original price. What 2

Leto [7]

Answer:

$75

Step-by-step explanation:

let the original price be x

then,

80% of x = 60

80/100 of x = 60

therefore x = 75

3 0

2 years ago

Im throwing tons of points for these questions so please help

Galina-37 [17]

10. x = 4,-4

11. x = 2,-2

12. Length = 12 yards, Weight = 6 yards

13. x = -5,2

3 0

3 years ago

Read 2 more answers

Assume that foot lengths of women are normally distributed with a mean of 9.6 in and a standard deviation of 0.5 in.a. Find the

Makovka662 [10]

Answer:

a) 78.81% probability that a randomly selected woman has a foot length less than 10.0 in.

b) 78.74% probability that a randomly selected woman has a foot length between 8.0 in and 10.0 in.

c) 2.28% probability that 25 women have foot lengths with a mean greater than 9.8 in.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a large sample size can be approximated to a normal distribution with mean $\mu$ and standard deviation $\frac{\sigma}{\sqrt{n}}$ .

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 9.6, \sigma = 0.5$ .