1. style=”color:rgb(0,0,0);background-color:rgb(255,255,255);”> A particular lake is known to be one
Question 1. style=”color:rgb(0,0,0);background-color:rgb(255,255,255);”>A particular lake is known to be one of the best places to catch a certain type of fish. In this table, x = number of fish caught in a 6-hour period. The percentage data are the percentages of fishermen who caught x fish in a 6-hour period while fishing from shore.x 0 1 2 3 4 or more% 43 5 %6 %1%(a) Convert the percentages to probabilities and make a histogram of the probability distribution. (Select the correct graph.)(b) Find the probability that a fisherman selected at random fishing from shore catches one or more fish in a 6-hour period. (Enter a number. Round your answer to two decimal places.) (c) Find the probability that a fisherman selected at random fishing from shore catches two or more fish in a 6-hour period. (Enter a number. Round your answer to two decimal places.) (d) Compute μ, the expected value of the number of fish caught per fisherman in a 6-hour period (round 4 or more to 4). (Enter a number. Round your answer to two decimal places.) μ = fish (e) Compute σ, the standard deviation of the number of fish caught per fisherman in a 6-hour period (round 4 or more to 4). (Enter a number. Round your answer to three decimal places.) σ = fish2.Compute C5,3. (Enter an exact number.)
I need help, is there a way you Can you
Question I need help, is there a way you Can you show me an example of a PowerPoint presentation that further explores a definition of point estimate, standard error, confidence level, and margin of error;a discussion of at least three major methods of determining sample sizes, comparing the different methods; andan explanation of the effects (advantages and limitations) of a small sample size, a very large sample size, and an adequate sample size on any research study. the PowerPoint presentation would need to be 8 slides (not counting the title and reference slides). Use graphics as necessary to support the content of your presentation. You must use at least two references. Any information from those sources must be cited and referenced
difference between orthogonal coding of dummy variable, dummy coding and
Question difference between orthogonal coding of dummy variable, dummy coding and effect coding?
Researchers developed a safety performance function (SPF), which estimates the
Question Researchers developed a safety performance function (SPF), which estimates the probability of occurrence of a crash for a given segment of roadway. Using data on over 100 segments of roadway, they fit the model Upper E left parenthesis y right parenthesis equals beta 0 plus beta 1 x 1 plus beta 2 x 2E(y)=β0 β1×1 β2×2, where y equals numbery=number of crashes per three years, x 1 equalsx1=roadway length(miles), and x 2 equalsx2=average annual daily traffic (number of vehicles) equals=AADT. Interstate Highways VariableParameter EstimateStandard Errort-valueIntercept1.875371.875370.411830.411833.643.64Length left parenthesis x 1 right parenthesisx10.115670.115670.025830.025834.754.75AADT left parenthesis x 2 right parenthesisx20.000110.000110.000030.000035.555.55Non-Interstate Highways VariableParameter EstimateStandard Errort-valueIntercept1.171561.171560.353050.353053.241163.24116Length left parenthesis x 1 right parenthesisx10.591850.591850.026220.026223.828973.82897AADT left parenthesis x 2 right parenthesisx20.000460.000460.000160.000166.700926.70092
Please help ASAP with problem below with explanation. alt=”PH Rain.PNG”
Question Please help ASAP with problem below with explanation. alt=”PH Rain.PNG” />For problem (d), the choices for the first fill in the blank are “increases” or “decreases”.The second portion of filling in the blank choices for problem (d) are:Choice 1 – “including more numbers for consideration makes it more likely one of them is correct.”Choice 2 – “all confidence intervals of a given level of confidence have the same width.”Choice 3 – “including fewer numbers for consideration makes it more likely one of them is correct.” Attachment 1 Attachment 2 Attachment 3 ATTACHMENT PREVIEW Download attachment PH Rain. 2PNG.PNG ATTACHMENT PREVIEW Download attachment PH Rain. 3PNG.PNG ATTACHMENT PREVIEW Download attachment PH Rain.PNG
**Could you please help me solve this. Please explain where
Question **Could you please help me solve this. Please explain where it’s possible. I really want to understand the mathematics behind it. Thank you.**A. Calculate the mean and standard deviation of the following securities’ returns: Year Computroids Inc. Blazers Inc. 1 10% 5% 2 5% 6% 3 -3% 7% 4 12% 8% 5 10% 9% B. Assuming these observations are drawn from a normally distributed probability space, we know that about 68% of values drawn from a normal distribution are within one standard deviation away from the mean or expected return; about 95% of the values are within two standard deviations; and about 99.7% lie within three standard deviations. Using your calculations from part A, calculate the 68%, 95%, and 99% confidence intervals for the two stocks. To calculate the 68%, you would calculate the top of the confidence interval range by adding one standard deviation to the expected return, and calculate the bottom of the confidence interval by subtracting one standard deviation from the expected return. For 95%, use two standard deviations, and for 99%, use three. Your answer should show three ranges from the bottom of the confidence interval to the top of the confidence interval. C. For each security, would a return of 14% fall into the 68% confidence interval range? If not, what confidence interval range would it fall into, or would it be outside all three confidence intervals? (This is the same as asking whether a return of 14% has less than a 68% probability of occurring by chance for that security. If it’s not inside the 68% confidence interval, it’s unlikely to occur, since it will only occur by chance 32% of the time. Of course, the 99% confidence interval is much more likely to include the observed return, simply by chance. Only 1% of the time will it fall outside the 99% CI. Pretty rare.)
How many different phone numbers are possible in the area
Question How many different phone numbers are possible in the area code 503, if the first number cannot start with a 0 or 1?
Identify an example from an organization where the quantitative Statistical
Question Identify an example from an organization where the quantitative Statistical Quality Control could assist with a decision. a) Define the states of problem.b) Organize data in a Control Chart for the Mean with UCL and LCL charts included.c) Organize data in a Control Chart for the Range with UCL and LCL charts included.
fx and fy stand for marginal probability ATTACHMENT PREVIEW Download
Question fx and fy stand for marginal probability ATTACHMENT PREVIEW Download attachment IMG_2404.JPG
pmf = (probability mass function) ATTACHMENT PREVIEW Download attachment IMG_2405.JPG
Question pmf = (probability mass function) ATTACHMENT PREVIEW Download attachment IMG_2405.JPG
3. There is one 1$ bill and one 5$ bill
Question
3. There is one 1$ bill and one 5$ bill in your left pocket and the same in your right pocket. You move one bill from the left pocket to the right pocket. After that you take the remaining bill from the left pocket and one of the bills at random from the right pocket. Let
4. Flip a fair coin 4 times. Let
Question
4. Flip a fair coin 4 times. Let
Please help ASAP with problem below, with explanation. alt=”Mean Waiting
Question Please help ASAP with problem below, with explanation. alt=”Mean Waiting time.PNG” /> For (a), the first fill in the blank choices are “No” or ‘Yes”. The second fill in the blank choices are “are not” or “are”. The third fill in the blank choices are “is” or “is not”. And the last fill in the blank choices are “greater” or “less”. Attachment 1 Attachment 2 Attachment 3 Attachment 4 Attachment 5 ATTACHMENT PREVIEW Download attachment Critical Values.PNG ATTACHMENT PREVIEW Download attachment Mean Waiting time 2.PNG ATTACHMENT PREVIEW Download attachment Mean Waiting time 3.PNG ATTACHMENT PREVIEW Download attachment Mean Waiting time 4.PNG ATTACHMENT PREVIEW Download attachment Mean Waiting time.PNG
what are the four sights that the young Siddhartha Gautama
Question what are the four sights that the young Siddhartha Gautama experienced upon leaving the palace? what is the significance of each of the four sights for the development of the Buddha’s later teaching?
Please help ASAP with problem below with explanation. alt=”Problem 16.PNG”
Question Please help ASAP with problem below with explanation. alt=”Problem 16.PNG” /> Attachment 1 Attachment 2 ATTACHMENT PREVIEW Download attachment Problem 16 (b)-(c).PNG ATTACHMENT PREVIEW Download attachment Problem 16.PNG
please help. I really don’t get this ATTACHMENT PREVIEW Download
Question please help. I really don’t get this ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-24 at 8.46.57 PM.png Here are the weight distributions (kg) for a large group of male and female adults who belong to a gym. The graphs also show the mean as a measure of center and the ADM hatplots as a representation of typical measurements. Male: mean = 78.2,ADM = 8.7 Female: mean = 60.6, ADM = 8.0 -1.00 to 1.00 Average Deviation Hat Plot of weignt_r0unded male COMIC! fem ale 40 50 60 70 80 90 100 1 10 120 weight_roundod In this sample we can see that typical males weigh more than typical females. Show that this is true by calculating the typical interval for each group using mean 3|;ADM. Type in a number only. For example, 26.2 not 26.2kg. Typical males weigh between and Typical females weigh between E and
Please help ASAP for problem below with explanation. alt=”Problem 17.PNG”
Question Please help ASAP for problem below with explanation. alt=”Problem 17.PNG” /> Attachment 1 Attachment 2 Attachment 3 Attachment 4 ATTACHMENT PREVIEW Download attachment Problem 17 Data Table.PNG ATTACHMENT PREVIEW Download attachment Problem 17 part 2.PNG ATTACHMENT PREVIEW Download attachment Problem 17 part 3.PNG ATTACHMENT PREVIEW Download attachment Problem 17.PNG
A.)B.) alt=”week7.JPG” />C.)D.)For the data sets under A, B, C,
Question A.)B.) alt=”week7.JPG” />C.)D.)For the data sets under A, B, C, and D, can you help me determine if the values indicate if they reject or fail to reject the Null hypothesis and if they meet the rejection criteria? Attachment 1 Attachment 2 Attachment 3 Attachment 4 ATTACHMENT PREVIEW Download attachment Capture.JPG3.JPG ATTACHMENT PREVIEW Download attachment Capture.JPG324.JPG ATTACHMENT PREVIEW Download attachment Capture.JPG324213.JPG ATTACHMENT PREVIEW Download attachment week7.JPG
1.You are the foreman of the Bar-S cattle ranch in
Question 1.You are the foreman of the Bar-S cattle ranch in Colorado. A neighboring ranch has calves for sale, and you are going to buy some calves to add to the Bar-S herd. How much should a healthy calf weigh? Let x be the age of the calf (in weeks), and let y be the weight of the calf (in kilograms).x 1 5 11 16 26 36y 39 47 73 100 150 200Complete parts (a) through (e), given Σx = 95, Σy = 609, Σx2 = 2375, Σy2 = 81,559, Σx y = 13,777, and r ≈ 0.997.(a)Make a scatter diagram of the data. (Select the correct graph.) (b)Verify the given sums Σx, Σy, Σx2, Σy2, Σx y, and the value of the sample correlation coefficient r. (For each answer, enter a number. Round your value for r to three decimal places.)Σx = Σy = Σx2 = Σy2 = Σx y = r = (c)Find , and . Then find the equation of the least-squares line = a b x. (For each answer, enter a number. Round your answers for and to two decimal places. Round your answers for a and b to three decimal places.) = x bar = = y bar = = value of a coefficient value of b coefficient x(d)Graph the least-squares line. Be sure to plot the point (, ) as a point on the line. (Select the correct graph.) (e)Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (For each answer, enter a number. Round your answer for r2 to three decimal places. Round your answers for the percentages to one decimal place.)r2 = explained = %unexplained = %(f)The calves you want to buy are 23 weeks old. What does the least-squares line predict for a healthy weight (in kg)? (Enter a number. Round your answer to two decimal places.) kg2.Compute P5,4. (Enter an exact number.)
Please help ASAP with explanation. /> Attachment 1 Attachment 2
Question Please help ASAP with explanation. /> Attachment 1 Attachment 2 Attachment 3 Attachment 4 Attachment 5 ATTACHMENT PREVIEW Download attachment Problem 18 Data Table.PNG ATTACHMENT PREVIEW Download attachment Problem 18 part 2.PNG ATTACHMENT PREVIEW Download attachment Problem 18 part 3.PNG ATTACHMENT PREVIEW Download attachment Problem 18 part 4.PNG ATTACHMENT PREVIEW Download attachment Problem 18.PNG
1.Isabel Briggs Myers was a pioneer in the study of
Question 1.Isabel Briggs Myers was a pioneer in the study of personality types. The personality types are broadly defined according to four main preferences. Do married couples choose similar or different personality types in their mates? The following data give an indication.Similarities and Differences in a Random Sample of 375 Married CouplesNumber of Similar Preferences Number of Married CouplesAll four 28Three 134Two 111One 69None 33Suppose that a married couple is selected at random.(a) Use the data to estimate the probability that they will have 0, 1, 2, 3, or 4 personality preferences in common. (For each answer, enter a number. Enter your answers to 2 decimal places.)01234(b) Do the probabilities add up to 1? Why should they?Yes, because they do not cover the entire sample space.No, because they do not cover the entire sample space. Yes, because they cover the entire sample space.No, because they cover the entire sample space.What is the sample space in this problem?0, 1, 2, 3 personality preferences in common1, 2, 3, 4 personality preferences in common0, 1, 2, 3, 4, 5 personality preferences in common0, 1, 2, 3, 4 personality preferences in common 2.The following question involves a standard deck of 52 playing cards. In such a deck of cards there are four suits of 13 cards each. The four suits are: hearts, diamonds, clubs, and spades. The 26 cards included in hearts and diamonds are red. The 26 cards included in clubs and spades are black. The 13 cards in each suit are: 2, 3, 4, 5, 6, 7, 8, 9, 10, Jack, Queen, King, and Ace. This means there are four Aces, four Kings, four Queens, four 10s, etc., down to four 2s in each deck.You draw two cards from a standard deck of 52 cards without replacing the first one before drawing the second.(a) Are the outcomes on the two cards independent? Why?Yes. The events can occur together.Yes. The probability of drawing a specific second card is the same regardless of the identity of the first drawn card.No. The events cannot occur together.No. The probability of drawing a specific second card depends on the identity of the first card.(b) Find P(ace on 1st card and king on 2nd). (Enter your answer as a fraction.) (c) Find P(king on 1st card and ace on 2nd). (Enter your answer as a fraction.) (d) Find the probability of drawing an ace and a king in either order. (Enter your answer as a fraction.)
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