Many invertebrates (like earthworms) use a nephridium as their excretory organ.
Looks like you might be doing a one-way ANOVA test for the data you choose for this project. Your ANOVA summary table should have the following setup: Source.....SS.....df.....MS.....F Between Within Totals If you calculate by hand, here are a few hints: SS total = SS between ...
Poisson distribution (m = mean): P(x) = e^(-m) m^x / x! Values: x = 3 m = 5 Substitute and calculate.
You are gaining information about the population. You are estimating the difference in population means by using the difference in the sample means. You also make a few assumptions, such as the populations have the same variance and the populations are normally distributed.
See previous post.
Looks like an ANOVA design. If there were significant differences, then the test was statistically significant.
Statistics in Psychology
a) Looks like a paired t-test (same subjects are used in a "before and after" scenario). b) Looks like an independent groups t-test (different subjects) c) Looks like a matched pairs t-test (matched based on characteristics like age).
Poisson distribution (m = mean): P(x) = e^(-m) m^x / x! Values for (a): x = 0, 1 m = 0.63 Substitute and calculate for each x. Add those calculations together for a total probability. Then subtract that value from 1. This will give you the probability of more than one death. F...
Poisson distribution (m = mean): P(x) = e^(-m) m^x / x! For (a): Take (0.028)(8) = 0.224 (this is the mean). Find P(0) using the above formula. For (b): Take (0.028)(24) = 0.672 (this is the mean). Find P(0) using the above formula. Then subtract that value from 1. This will b...
Probably the better answer would be "wider" than 90% confidence interval.
...greater than 90% confidence interval.
Try z-scores: z = (x - mean)/sd Substitute the data into the above formula and solve for x. mean = 11.5 sd = 2.7 z = score from the table Use the table to find z-score at the 80th percentile. I'll let you take it from here.
I'll get you started. Hypotheses: Ho: µ = 12 --> this is the null hypothesis Ha: µ ≠ 12 ---> this is the alternate or alternative hypothesis Note: Null hypothesis always uses an equals sign. The alternate or alternative hypothesis in this case uses ...
Substitute 16 for x and solve for tread depth in the equation.
Use a confidence interval formula for proportions. Here's one example: CI99 = p + or - (2.58)(sqrt of pq/n) ...where sqrt = square root, p = x/n, q = 1 - p, and n = sample size. p = 120/400 q = 280/400 n = 400 Convert all fractions to decimals before using the formula to p...
I'll get you started. CI90 = p ± (1.645)[√(pq/n)] ...where p = x/n, q = 1 - p, and n = sample size. Note: ± 1.645 represents 90% confidence interval. For p in your problem: 26/40 For q in your problem: 14/40 n = 40 I let you take it from here to calcula...
STAT - Please check answer
You are correct!
Use z-scores: z = (x - mean)/sd With your data: z = (80.1 - 75.5)/(10.3) = ? I'll let you finish the calculation. Once you have the z-score, check a z-table for the probability. Remember the problem is asking what percent of students have weights "greater than" 8...
Using an online calculator, I found the following: 10 data pairs (x,y): ( 10.0 , 7.00 ); ( 8.00 , 6.00 ); ( 9.00 , 11.0 ); ( 6.00 , 4.00 ); ( 5.00 , 5.00 ); ( 3.00 , 7.00 ); ( 7.00 , 4.00 ); ( 2.00 , 5.00 ); ( 4.00 , 6.00 ); ( 1.00 , 4.00 ); Regression equation: Predicted y =...
CI95 = mean ± 1.96 (sd/√n) CI99 = mean ± 2.58 (sd/√n) With your data: CI95 = 170 ± 1.96 (62.3/√100) CI99 = 170 ± 2.58 (62.3/√100) I'll let you finish the calculations for the confidence intervals.
C. Nephron, villi, alveoli Capillaries in these structures allow the easy transfer of molecules to these tissues.
For part a: Use the appropriate hypothesis test for your data. For part b: Cohen's d is the difference between two means divided by a standard deviation. Calculate Cohen's d (d) and the effect-size correlation (r) using the following formulas: d = (M1 - M2) / s r = d /...
Science asap thankies :)
You are welcome!
Science asap thankies :)
Object will sink if buoyant force is less than the weight of the object. Object will move up if buoyant force is greater than the weight of the object. Object will float or stay constant if both equal.
Your answers are correct!
The colors indicate temperature and age. Classification is by spectral type. For example: Type.... Color O.... Blue B.... Blue A.... Blue-white F.... White G.... Yellow K.... Orange M.... Red
Use the binomial probability function: P(x) = (nCx)(p^x)[q^(n-x)] n = 17 x = 11 through 17 p = 0.4 q = 1 - p = 0.6 Find P(11) through P(17). Add together for your probability. Note: You can also use a binomial probability function table with the values listed to find the proba...
Anatomy and Physiology
Anatomy and Physiology
Rectangle formulas: Perimeter = 2l + 2w Area = lw Note: l = length of rectangle and w = width of rectangle Let's look at what you know: Perimeter = 10 yds Width = 2 yd Therefore: Perimeter = 2l + 2w 10 = 2l + 2(2) 10 = 2l + 4 Subtract 4 from both sides. 6 = 2l Divide both ...
Step 1: Take time to understand the problem and see what you are expected to do. Step 2: Devise a way to translate the problem so you are able to solve it. Step 3: Carry out your plan to solve the problem. Step 4: Look back at the original problem once you solve it and check y...
This appears to be a hypothesis test involving inferences concerning two variances. Sample 1 (Girls): n = 21; variance = 100; df = n - 1 = 20 Sample 2 (Boys): n = 25; variance = 169; df = n - 1 = 24 Test statistic = sample 1 variance / sample 2 variance You can use the F-distr...
A heterogeneous mixture is when two or more substances are mixed but remain physically separate.
Answer: 7/10 kg of cherries Tiffany: 2/5 kg = 4/10 kg Linda: 4/10 kg - 1/10 kg = 3/10 kg 4/10 kg + 3/10 kg = 7/10 kg I hope this helps.
Small question memorizing help
Yes, it might help you recall the words and their meanings. Here might be another suggestion: the use of mnemonics for recollection of larger pieces of information. Check it out and see if this method is something you can use.
Remember that the dependent variable depends on the independent variable. Speed at which the balls fall depends on the height from which the balls are dropped.
Substitute 6 for x and 17 for y: 4(6) + 5(17) = ? I'll let you take it from here.
Correction: First sentence should read "multiply left side by 2 and right side by 3." Sorry for any confusion.
To balance O, multiply left side by 3 and the right side by 2: 2 KClO3 ---> KCl + 3 O2 Now to balance the KCl, you multiply the right side by 2: 2 KClO3 ---> 2 KCl + 3 O2 That should be it!
If you are running a hypothesis test using a null and an alternate hypothesis, then yes, you compare a test statistic to a critical value to determine whether or not to reject the null. You then draw conclusions on your findings. I hope this helps and is what you were asking.
Try to combine like terms. Is the first term supposed to be -3f^2? If so, then 8f^2 - 3f^2 = 5f^2 Is the second term supposed to be 4f? If so, then 4f + 7f = 11f That leaves: -3 + 1 = -2 Putting it all together, you have this: 5f^2 + 11f - 2 (choice c) I hope this helps and is...
science... PLEASE HELP!
How about species?
Substitute numbers for x to determine y. Be sure you have enough numbers to graph. For example: if x = -1, then y = 1 and so on.
You can try to set it up like long division (to check, multiply): ......-2x^2 + 15x + 25 R 63 ...________________________ x-3)-2x^3 + 21x^2 - 20x - 12 ....-2x^3 + 6x^2 -->subtracting will change signs .....___________ ............15x^2 - 20x ............15x^2 - 45x -->su...
Here is one difference: Photosynthesis: carbon dioxide is absorbed and oxygen is released. Respiration: oxygen is absorbed and carbon dioxide is released.
B is correct!
C is correct!
You can try a proportional one-sample z-test for the first problem since this problem is using proportions. Here's a few hints to get you started: Using a formula for a proportional one-sample z-test with your data included, we have: z = .63 - .50 -->test value (38/60 i...
Choose d. None of the other choices are correct. Choice a: should read change alpha from .01 to .05. Choice b: should read change from a two-tailed test to a one-tailed test. Choice c: should read change sample size n = 25 to n = 100.
You may be able to produce a technically accurate statistic, but the data used may be biased or perhaps the data analysis may be not be interpreted or represented correctly.
Here are a few ideas to get you started. First problem: Use a formula to find sample size. Here is one for proportions: n = [(z-value)^2 * p * q]/E^2 ... where n = sample size, z-value is 1.645 (90% confidence interval), p = .5 (when no value is stated), q = 1 - p, ^2 means sq...
Here are a few ideas to get you started. First problem: Try a one-sample z-test. Formula: z = (sample mean - population mean)/(standard deviation divided by the square root of sample size) Your data: sample mean = 2.6 population mean = 2.5 standard deviation = 0.5 sample size ...
See your later post.
See your later post.
See your later post.
See your latest post.
Quick Biology help
First question: 1. gene mutation 2. carcinogens Second question: 1. Cancer Check this!
statistics in psychology
Using an online calculator, we have 4 data pairs (x,y): (1,10) (1,8) (2,4) (4,-2) Regression equation: y = a + bx y = 12.3 - 3.67x This is the line of best fit. You can plot the scatter graph using the points above (x,y) to see how close the points are to the regression line....
Formulas: CI90 = mean ± 1.645 (sd/√n) CI95 = mean ± 1.96 (sd/√n) For the first part, substitute the mean, standard deviation, and sample size into the appropriate formulas to determine the confidence intervals. This will help you answer the questions ...
Note: For the second problem, we use the normal approximation to the binomial distribution when finding the mean and standard deviation.
Use z-scores. First problem: z = (x - mean)/(sd/√n) Find two z-scores: z = (2.4 - 2.5)/(0.2/√50) = ? z = (2.8 - 2.5)/(0.2/√50) = ? Finish the calculations. Next, check a z-table to find the probability between the two scores. Find mean and standard deviation....
I would also say A. A single life annuity usually pays the maximum amount while an individual is alive.
You would need to determine a regression equation for this data. Linear regression determines the best-fitting straight line through the points. A regression equation helps you make predictions for y based on the value of x.
See your later post.
If you do this using a calculator, you will have to use the calculator's instructions for finding a regression equation, correlation coefficient (r) and coefficient of determination (r^2).
How about a? Check this.
...is amplitude. Check this.
False. Should read "...the sampling distribution of the mean will be equal to the population mean." (Central Limit Theorem)
Formula: z = (x - mean)/(sd/√n) With your data: z = (76 - 70)/(18/√9) = 6/6 = 1 Choice: c
How about A)? (Check a z-table. P-value is the actual level of the test statistic.)
Check 9) using z-scores: z = (x - mean)/sd z = (2.40 - 2.04)/0.25 z = 1.44 Using a z-table, probability = 0.0749 Answer: False Check 13) using margin of error: Margin of error = z-value * (sd/√n) 2.00 = 1.645 (10/√n) n is approximately 68 (rounded up) Answer: Maybe...
1. D Chi Square distributions are positively skewed (skewed to the right). As the degrees of freedom increases, the Chi Square distribution will approach a normal symmetrical distribution. Smaller degrees of freedom will skew more to the right. 2. A Ho: The variables are indep...
There are different ways you can do this kind of problem, but the formula below might be one of the easier ways: s/[1 + (1.645/√2n)] ..to.. s/[1 - (1.645/√2n)] ...where s = standard deviation, 1.645 represents the 90% confidence interval using a z-table, and n = sa...
A few hints: If you use the normal distribution as an approximation, then you will need to find the mean and standard deviation. mean = np = 13 * 0.7 = 9.1 standard deviation = √npq = √(13)(0.7)(0.3) = 1.65 (rounded) Note: q = 1 - p Next step: use z-scores z = (x -...
If you perform a statistical test, try a one-sample z-test. z = (sample mean - population mean)/(standard deviation divided by the square root of the sample size) Population mean = 80 Sample mean = ? (I don't see one listed) Standard deviation = 10.15 Sample size = 50 Once...
If you need to show the work by hand, you can develop the regression equation in the following format: predicted y = a + bx ...where a represents the y-intercept and b the slope. To get to that point, here are some formulas to calculate along the way. To find a: a = (Ey/n) - b...
You can try a proportional one-sample z-test for this one since this problem is using proportions. Here's a few hints to get you started: Null hypothesis: Ho: p = .5 -->meaning: population proportion is equal to .5 Alternative hypothesis: Ha: p > .5 -->meaning: po...
It may be due to the sample size. There is a possibility the sample may be too large, which will affect the significance of the outcome.
Outliers in a box plot may be evidence of a non-normal distribution, but this might not always be the case. If the box plot has symmetry around the median, the distribution will most likely be normal.
See your other post.
You can use a one-sample z-test. z = (sample mean - population mean)/(standard deviation divided by the square root of the sample size) With your data: z = (11.6 - 13)/(1.3/√7) = ? Finish the calculation. If you use an alpha of .02 for a two-tailed test, then the cutoff ...
You can use a one-sample z-test. z = (sample mean - population mean)/(standard deviation divided by the square root of the sample size) With your data: z = (81.5 - 84)/(10/√75) = ? I'll let you finish the calculation. If you use a 1% significant level for a two-taile...
math- stat 201
Yes. See your other post for more detail.
You can use a one-sample z-test. z = (sample mean - population mean)/(standard deviation divided by the square root of the sample size) With your data: z = (375 - 350)/(150/√100) = 25/15 = 1.67 (rounded) If you use a 5% significant level for a one-tailed test (Ha: µ...
Use a formula to find sample size. Here is one: n = [(z-value * sd)/E]^2 ...where n = sample size, z-value = 2.58, sd = .20, E = .04, ^2 means squared, and * means to multiply. Plug the values into the formula and finish the calculation. Round your answer to the next highest w...
If you need to show the work by hand, you can develop the regression equation in the following format: predicted y = a + bx ...where a represents the y-intercept and b the slope. Note: x = height; y = time To get to that point, here are some formulas to calculate along the way...
Yes, both are true.
Let's see if your answer checks by substituting 51 for x: 3(51) - 22 = 51 + 80 153 - 22 = 131 131 = 131 It checks, so you are correct!
Identities: tan x = sin x / cos x sec x = 1 / cos x If your problem is this: (tanx/secx) + 1 Then: [(sin x / cos x) / (1 / cos x)] + 1 = sin x + 1 If your problem is this: tan x / (sec x + 1) Then: (sin x / cos x ) / [(1 / cos x) + 1] = (sin x / cos x) / [(1 / cos x) + (cos x ...
This might be stimulus-response learning.
The larger the sample size, the more you can safely approximate the normal distribution.
Answered in a later post.
You will need to compute the mean and standard deviation. Once you have those values, you can compute the rest using formulas. a) standard error of the mean = sd/√n Note: sd = standard deviation; n = sample size b) Margin of error = 1.96(sd/√n) Note: 1.96 represent...
e) LOS = 29 for one of the patients. This would be considered an outlier. f) Perhaps a better measure of central tendency would be the median.
You can try a proportional one-sample z-test for this one since this problem is using proportions. Null hypothesis: Ho: p = .63 -->meaning: population proportion is equal to .63 Alternative hypothesis: Ha: p > .63 -->meaning: population proportion is greater than .63 ...
Formula: CI90 = p + or - (1.645)[√(pq/n)] ...where p = x/n, q = 1 - p, and n = sample size. Note: + or - 1.645 represents 90% confidence interval. p = .659 q = 1 - p = .341 n = 1026 I let you take it from here.
Standard deviation = 4 Two standard deviations = 8 75 - 8 = ? This will be your mean.