...Today’s Workout: __________________________________________________ Notes: __________________________________________________________ ■ ■ NAILED IT BARELY MADE IT REMINDER: Take your “before” photo and enter your stats on the measurement chart located in the Quick-Start Guide or on p. 12 of this journal. • Day 2 “It’s 25 minutes to change your life, so just push through.” Today’s Workout: __________________________________________________ Notes: __________________________________________________________ • Day 3 Notes: __________________________________________________________ BARELY MADE IT ■ ■ NAILED IT BARELY MADE IT “It ain’t easy, but it’s worth it.” Today’s Workout: __________________________________________________ Notes: __________________________________________________________ • Day 5 NAILED IT “Today is about progress, not perfection.” Today’s Workout: __________________________________________________ • Day 4 ■ ■ ■ ■ NAILED IT BARELY MADE IT “First Double Day! Do your best and don’t quit!” Notes: __________________________________________________________ ■ ■ NAILED IT Today’s Workouts: _________________________________________________ BARELY MADE IT Week 1 Weight Waist Chest • ■ ■ NAILED IT BARELY MADE IT STATURDAY Thigh Arm 2 ALPHA CYCLE • Day 1 • Week 2 “Weekend is over, now it’s T-time. Let’s get into it.” Today’s Workout: __________________________________________________ ...
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...INTRODUCTION Statistics deals with methods which help in estimating the characteristics of a population or making decisions concerning a population on the basis of the sample results. Sample and population are the two relative terms. A population is treated as universe and a sample is fraction or segment of the universe. Statistics describe the data and consists of the methods and technique used in the collection, organization, presentation and analysis of data in order to describe the various features and characteristics of such data. These can either be graphical or computational. In this, nothing can be inferred from the data nor can decision be made or conclusion drawn. (Akbhanj, 2013) Statistics are aggregate facts, a series relating...
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...resting, the athlete will regain strength and his/her muscles will have built back up within the first week or so. Light workout would be expected to stay in shape, as well as not totally falling off some sort of eating schedule or plan. The athlete may begin some sort of cross training program to add a variety to training. However cross training should no longer be in the athletes workout plan prior to preseason because it is not necessarily sport specific. Preparatory Period: The preparatory season is the official off season for the athlete. For the first several weeks, the athlete will be in some sort of an endurance phase. Meaning whatever workouts they are participating in, they should aim to do low intensity and high volume. So for instance in the weight room they should be doing low weight with a higher amount of reps. Doing so allows for development of endurance base. Following the endurance phase should come the strength phase. This phase is a time where in the weight room the athlete would begin to add weight and lower the repetitions. This phase probably would not consist of as much cardio as the endurance phase depending on the sport and/or position. The third phase of the preparatory period is the power phase. The power phase is a time where the athlete would start doing heavy weight in the weight room or workouts and low reps, higher intensity workouts to start getting into competition shape. Volume is decreased to allow adequate recovery time. Competition Period: This...
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...constantly did the same workouts, didn’t seem to see any new results. This is why elite trainer Tony Horton created P90X. Horton spent over 20 years in becoming an expert in various areas of fitness. Many call him the “Master of Motivation”, and others that are moved by him include movie stars, professional athletes, and normal people who want amazing bodies. Due to his vast knowledge and skills developed in this concept, he created the number one best-selling home fitness program. P90X is a 90-day home fitness system which is designed to get you in shape. The program includes 12 intense workouts that use resistance and body-weight training, cardio, plyometric, ab work, martial arts and yoga, along with a nutrition plan, fitness guide and workout calendar. The real secret behind P90X is the muscle confusion. The program uses target training phases to allow the body to keep adapting and growing on the workouts. There is a “plateau” that happens whenever a person keeps on doing the same workouts which the body already adapted to and that causes the body not to show any new results. Unlike the same old workout machines used at the gym, the P90X will keep your guessing and it won’t let your body get used to the workouts. When the muscle confusion occurs, your body won’t slow down or stop showing improvements. Some of the workouts in the program include short training cycles which challenge your muscles with intensity and variety at the same time. Also the workouts maximize the fat burning...
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...of the new you. Make every second count.” Today’s Workout: __________________________________________________ Notes: __________________________________________________________ • DAY 2 NAILED IT BARELY MADE IT REMINDER: Take your “before” photo and enter your stats on the measurement chart located in the Quick-Start Guide or on p. 12 of this journal. “It’s 25 minutes to change your life, so just push through.” Today’s Workout: __________________________________________________ Notes: __________________________________________________________ NAILED IT BARELY MADE IT • DAY 3 “Today is about progress, not perfection.” Today’s Workout: __________________________________________________ Notes: __________________________________________________________ NAILED IT BARELY MADE IT • DAY 4 “It ain’t easy, but it’s worth it.” Today’s Workout: __________________________________________________ Notes: __________________________________________________________ NAILED IT BARELY MADE IT • DAY 5 “First Double Day! Do your best and don’t quit!” NAILED IT BARELY MADE IT Today’s Workouts: _________________________________________________ Notes: __________________________________________________________ NAILED IT BARELY MADE IT WEEK 1 Weight Chest Waist Arm • STATURDAY Thigh 2 ALPHA CYCLE • DAY 1 • WEEK 2 “Weekend is over, now it’s T-time. Let’s get into it.” Today’s Workout: __________________________________________________...
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...for a treadmill? Below is a review of 10 quality treadmill options than span the spectrum, from the intensity of a competitive athlete workout, to the novice beginner. Sole F85 With the industry’s best warranty, you will immediately notice the solid stability and workmanship of the Sole F85. It has one of the highest user weight limits making it an outstanding selection for big people looking for a sturdy piece of equipment. Stability is only one of the features makes the F85 so appealing. A wide tread platform of 22 inches by 60 inches gives runners...
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...International Journal for Research in Education (IJRE) Vol.1, Issue: December: 2012 ISSN: Research Paper-Education EFFECT OF YOGA EXERCISES ON ACHIEVEMENT, MEMORY AND REASONING ABILITY Nilesh Gajjar Assistant Prof. SVS Edu. College, P. G. Dept., Nagalpur, Mehsana. ABSTRECT Now, we are living in the world of 21st century which is known as the world of ‘Mental Stress’ in these circumstances, knowledge amplifies day by day. There is a Knowledge explosion in the world, hence each and every person tries to get this Knowledge by new & most recent Medias & they also use it. In this direction there is a qualitative growing up in the person for in receipt of Knowledge & its use by appreciative. In the same way, we notice the qualitative addition in the Educational organization, teachers, & the students, which are going to get Knowledge. In these circumstances, teachers & students feel a perplexity. So there is a question against us that, this growth in the education organization, teachers & in the students will have no proper direction for the Academic achievement of students. If we get an affirmative answer of this question, we must do the fundamental change in the teaching learning process of Education. In the present day, each person including the students and the teachers face anxiety, frustration, etc. Due to these factors, the students cannot keep much interest in their study, academic activity & their performance in the entire exam. Consequently, in this way it is very...
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...Statistical Tool | Use/s | Level of Measurement | Formula | 1. Z – test | to determine whether two population means are different when the variances are known and the sample size is large. Source: http://www.investopedia.com/terms/z/z-test.asp#ixzz2LEqfeJnN | IV – NominalDV – Interval | | 2. T – test | to compare the means when the population mean is known but the population variance is unknown.Also when the population standard deviation is unknown but the sample standard deviation can be computed.Source:Basic Statistics Book | OrdinalInterval | | 3. F – test | used when comparing statistical models that have been fitted to a data set, in order to identify the model that best fits the population from which the data were sampled.Source:http://en.wikipedia.org/wiki/F-test | Ordinal Interval | | 4. Spearman rank | measures the strength of association between two ranked variablesSource:https://statistics.laerd.com/statistical-guides/spearmans-rank-order-correlation-statistical-guide.php | NominalOrdinal | | 5. Pearson R | used in the sciences as a measure of the strength of linear dependence between two variables.Source:http://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient | Interval | | 6. Chi – square | to test the difference between an actual sample and another hypothetical or previously established distribution such as that which may be expected due to chance or probabilitycan also be used to test differences between...
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...the AIU data set in order to complete a regression analysis for benefits & intrinsic, benefits & extrinsic and benefit and overall job satisfaction. Plus giving an overview of these regressions along with what it would mean to a manager (AIU Online). Introduction Regression analysis can help us predict how the needs of a company are changing and where the greatest need will be. That allows companies to hire employees they need before they are needed so they are not caught in a lurch. Our regression analysis looks at comparing two factors only, an independent variable and dependent variable (Murembya, 2013). Benefits and Intrinsic Job Satisfaction Regression output from Excel SUMMARY OUTPUT Regression Statistics Multiple R 0.018314784 R Square 0.000335431 The portion of the relations explained Adjusted R Square -0.009865228 by the line 0.00033% of relation is Standard Error 1.197079687 Linear. Observations 100 ANOVA df SS MS F Significance F Regression 1 0.04712176 0.047122 0.032883 0.856477174 Residual 98 140.4339782 1.433 Total 99 140.4811 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 4.731133588 1.580971255 2.992549 0.003501 1.593747586 7.86852 Intrinsic -slope 0.055997338 0.308801708 0.181338 0.856477 -0.5568096 0.668804 Line equation is benefits =4.73 + 0.0559 (intrinsic) ...
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...statistical analysis is descriptive analysis. Descriptive statistics can summarize responses from large numbers of respondents in a few simple statistics. When a sample is obtained, the sample descriptive statistics are used to make inferences about characteristics of the entire population of interests. Descriptive analysis is the transformation of data in a way that describes the basic characteristics such as tendency, distribution, and variables. A examples of this would be if a company wanted to find out what type of bonus employees prefer. Descriptive statistics are used to explain the basic properties of these variables. One descriptive statistics that is used to explain the basic properties of variables is Mean, Median, and Modes. These terms all would be descriptive statistics for the above example by describing the central tendency in different ways. The mean would reflect the average answer that is given. The Median would provide the answer that is the central or middle range answer. The mode would be the answer that was given the most often. A second descriptive statistic that is used to explain the basic properties of variables is Tabulation. This refers to the orderly arrangement of data in a table or other summary format. When the tabulation process is done by hand, the term tallying is used. Simple tabulation tells how frequently each response or bit of information occurs. A third descriptive statistic used to explain the basic properties of variables is Cross...
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...Hypothesis Testing – Two Sample * H0 : µ1 = µ2 H1 : µ1 ≠ µ2 * Case 1 -- If you know population variances, use this and Normal table * Case 2 -- If you know only sample variances, and samples are large, use this and Normal table * Case 3 -- If you know only sample variances, and samples are small, and unknown population variances can be assumed identical, use this and t-table, with n1 + n2 - 2 df. (sp is called “pooled estimate of σ”) * We use standard error of difference to compute (actual) t Hypothesis Testing – Means Of Dependent (Paired) Samples tActual * pooled estimate of population proportion Regression and Correlation Simple Linear Regression (Only 1 independent variable, and linear relationship) Regression Coefficients Using Method Of Least Squares, we get: Standard Error Of Estimate Correlation: * Variation of y around the regression line * Variation of y around its own mean * Coefficient of Determination Direct Computation of r: Chi-Square * Make working table as follows: * List observed frequency cells, fo , in 1st column. * Compute expected frequency, fe , for each cell, and write in 2nd column. * fe = RT*CT/n where RT = row total, CT = column total, n = total no of observations in all cells of data table. * Compute (fo – fe ) for each row of working table in column 3 * Compute...
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...TERM END EXAMINATIONS,MARCH-2013 BACHELOR OF COMMERCE, YEAR – III ELEMENTARY STASTISTICS Time: 3 hours M.Marks:60 SECTION A Note: - Attempt any 4 questions. All questions carry equal marks. (4 X 5) The answer should be limited upto 200 words. 1) What is statistics? Explain the nature and limitations of statistics? 2) What is frequency distribution? What are the different types of frequency distribution? 3) What is frequency curve? Explain cumulative frequency curve with example? 4) Suppose mean of a series of 5 item is30.four values are respectively, 10, 15, 30 and 35.estimate the missing 5th value of the series. ANSWER : Mean = (10+15+30+35+x)/5=30 Therefore, x=(30*50)-( 10+15+30+35) i.e x = 150-90, hence x=60 5) Calculate median of the following distribution of data. Class interval | 0-5 | 5-10 | 10-20 | 20-30 | 30-50 | 50-70 | 70-100 | frequency | 12 | 15 | 25 | 40 | 42 | 14 | 8 | n= 12+15+25+40+42+14+8=156 Hence median is at the average of n/2 & (n/2 +1) positon i.e 78th & 79th position Class interval | 0-5 | 5-10 | 10-20 | 20-30 | 30-50 | 50-70 | 70-100 | frequency | 12 | 15 | 25 | 40 | 42 | 14 | 8 | Position 12 27 52 92 134 148 156 6) Calculate the coefficient of correlation...
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...Problem 1: i) All the coefficients are significant, because t (crit) = 1,96 is smaller than the absolute values of these three coefficients β1, β2 and β3. Estimated equation is: Log (wage) = 0.128 + 0.0904educ + 0.041exper – 0.000714exper2 (0.106) (0.0075) (0.0052) (0.000116) n = 526, R2 = 0.30 ii) Yes, the coefficient is significant because t-statistics absolute value 6,16 is greater than t (critical value) at 1 % significance level which is 2,586 in this case. iii) Return to the fifth year of experience: 100 * [0.041-2*(0.000714)*4] = 3,53% Return to the 20th year of experience: 100 * [0.041-2*(0.000714)*19] = 1,39% iv) x* = 0.0410089/(2*(-0.0007136)) = -28.7338 28.7338 There are 121 people in the sample with at least 29 years of experience. Problem 2: a) SSE + SSR = SST SST – SSE = SSR SSR = 7160,41429–10.6243285= 7149,79 b) n =524 c) R2 = SSE/SST = 10.62/7160.41 = 0,001484 d) t = (-0,4682478/0,5306473) = -0,88241 e) t = coefficient/ std. error coefficient / t = (5,944174/34,96) = 0,170028 f) F = t^2 = (-0,88241)^2 = 0,778645 Problem 3: Model 1: a) Coefficient on variable cigs indicates that one cigarette smoked per day reduces birth weight by 0,44 %. Therefore, the effect on birth weight from smoking 10 more cigarettes will be that it reduces birth weight by 4,4 %. b) In model 1, a white child is predicted to weight 5,5 % more than a non-white child on...
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...LLR 1st Quarter Report Project Name: Address: Project Manager: Area Manager: Staff Team: Volunteers: Contents 1. Introduction 2. Service Activity 3. Referrals 4. Outcomes 5. Engagement 6. Incidents 7. Feedback 8. Staff Development 9. Project Development 10. Conclusion 1. Introduction This report is based on the activities undertaken by ------- for the period between This initial introductory period has been a very successful initiation period in terms of the increasing number of referrals and assessments received and conducted, in addition to the rising number of service user (SU) engagements. During this reporting period, LLR inducted four new staff members who all completed LLR’s in-house training on the LLR, Health and Safety as well as File and Data Management training. Referrals over the few months have grown steadily with positive client engagement in groups, 1-2-1 counselling and 1-2-1 Recovery Plan Sessions. During this short period we have already observed an increasing number of SU’s being very committed to their recovery journey and we expect their commitment to be reflected in their continued growth and change. The staff and management team have also been very supportive and continue to provide us with regular group space ensuring group activities got underway. Although actual attendance numbers for the group have been relatively...
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...Research Design (Assignment 2) I will be conducting a study using a true experimental research design in order to investigate the effects of marijuana use on an individual’s problem solving ability. Marijuana use is the independent variable which is operationally defined as consumption in the form of smoking 0.5 grams of cannabis in a marijuana cigarette. Problem solving abilities is the dependent variable which is operationally defined as the total score on various math problems as well as time taken to complete said math problems. Scores on the math test can range from 0 to 100. 40 participants, 20 males and 20 females all of whom are 18 year old Freshmen taking Math 131 at Pasadena City College, will be utilized in this study. 10 males and 10 females will be randomly assigned to group A and will all smoke marijuana, while 10 males and 10 females will be randomly assigned to group B and will not smoke marijuana. In order to ensure that every participant in group A is affected by the marijuana equally, only students that consent to a drug test prior to the study and are found to have no traces of THC present in their blood will be eligible to participate in the study. This will ensure that all participants in group A are affected by marijuana equally by eliminating the possibility of one participant having a higher tolerance than another. In order to eliminate all possible plausible alternative explanations for the relationship observed between marijuana use and problem solving...
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